The document discusses various diffraction techniques used to determine crystal structures, including X-ray diffraction (XRD), electron diffraction, and neutron diffraction. It provides details on each technique, such as the wavelength used, how the beams interact with materials, and common applications. Neutron diffraction is described as penetrating deeply into materials and providing information on magnetic structures. Examples of common crystal structures are also presented, such as face-centered cubic and hexagonal close-packed structures. Interstitial sites and packing fractions are discussed for relating structure to properties of materials.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
Branislav K. Nikoli
ć
Department of Physics and Astronomy, University of Delaware, U.S.A.
PHYS 624: Introduction to Solid State Physics
http://www.physics.udel.edu/~bnikolic/teaching/phys624/phys624.html
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
Branislav K. Nikoli
ć
Department of Physics and Astronomy, University of Delaware, U.S.A.
PHYS 624: Introduction to Solid State Physics
http://www.physics.udel.edu/~bnikolic/teaching/phys624/phys624.html
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
NANO106 is UCSD Department of NanoEngineering's core course on crystallography of materials taught by Prof Shyue Ping Ong. For more information, visit the course wiki at http://nano106.wikispaces.com.
This is the plenary talk given by Prof Shyue Ping Ong at the 57th Sanibel Symposium held on St Simon's Island in Georgia, USA.
Abstract: Powered by methodological breakthroughs and computing advances, electronic structure methods have today become an indispensable toolkit in the materials designer’s arsenal. In this talk, I will discuss two emerging trends that holds the promise to continue to push the envelope in computational design of materials. The first trend is the development of robust software and data frameworks for the automatic generation, storage and analysis of materials data sets. The second is the advent of reliable central materials data repositories, such as the Materials Project, which provides the research community with efficient access to large quantities of property information that can be mined for trends or new materials. I will show how we have leveraged on these new tools to accelerate discovery and design in energy and structural materials as well as our efforts in contributing back to the community through further tool or data development. I will also provide my perspective on future challenges in high-throughput computational materials design.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
UCSD NANO 266 Quantum Mechanical Modelling of Materials and Nanostructures is a graduate class that provides students with a highly practical introduction to the application of first principles quantum mechanical simulations to model, understand and predict the properties of materials and nano-structures. The syllabus includes: a brief introduction to quantum mechanics and the Hartree-Fock and density functional theory (DFT) formulations; practical simulation considerations such as convergence, selection of the appropriate functional and parameters; interpretation of the results from simulations, including the limits of accuracy of each method. Several lab sessions provide students with hands-on experience in the conduct of simulations. A key aspect of the course is in the use of programming to facilitate calculations and analysis.
X ray, invisible, highly penetrating electromagnetic radiation of much shorter wavelength (higher frequency) than visible light. The wavelength range for X rays is from about 10-8 m to about 10-11 m, the corresponding frequency range is from about 3 × 1016 Hz to about 3 × 1019 Hz.
It describes how different properties of materials changes when reduced to nano. Property includes electrical, optical, mechanical, magnetic, thermal etc.
Introduction to nanoscience and nanotechnologyaimanmukhtar1
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Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
Normal labor is also termed spontaneous labor, defined as the natural physiological process through which the fetus, placenta, and membranes are expelled from the uterus through the birth canal at term (37 to 42 weeks
Delivering Micro-Credentials in Technical and Vocational Education and TrainingAG2 Design
Explore how micro-credentials are transforming Technical and Vocational Education and Training (TVET) with this comprehensive slide deck. Discover what micro-credentials are, their importance in TVET, the advantages they offer, and the insights from industry experts. Additionally, learn about the top software applications available for creating and managing micro-credentials. This presentation also includes valuable resources and a discussion on the future of these specialised certifications.
For more detailed information on delivering micro-credentials in TVET, visit this https://tvettrainer.com/delivering-micro-credentials-in-tvet/
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
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UCSD NANO106 - 13 - Other Diffraction Techniques and Common Crystal Structures
1. Other diffraction techniques and common
crystal structures of real materials
Shyue Ping Ong
Department of NanoEngineering
University of California, San Diego
2. Other diffraction techniques
¡ XRD is the most common (and typically most economical)
means of determining crystal structures.
¡ Electrons and neutrons are also widely used scattering
techniques.
¡ Employs wave-particle duality of electrons and neutrons
¡ Transmission electron microscopes (TEM) are more expensive than
XRD equipment, but still common
¡ Neutron diffraction is typically performed at national and
international reactor facilities
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
2
3. Comparison of different diffraction
techniques
X-rays
λ ~ 0.1nm
Uncharged
No magnetic dipole
Scattered by atomic
charge densities
(~0.1nm)
Electrons
λ ~ 0.002nm
Charged
Possesses magnetic
dipole
Scattered by electronic
and nuclear charge
densities (~0.1nm)
Neutrons
λ ~ 0.1nm
Uncharged
Possess magnetic dipole
Scattered by atomic
nucleus (~0.0001nm)
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
3
4. Neutron diffraction
¡Neutrons are scattered by crystalline solids
¡Uncharged: Penetrates deeply into most
materials (allows for sample with large volumes ~
cm3)
¡Interacts with atomic nuclei and magnetic dipole
moment of nuclei – can provide information on
magnetic point and space group symmetry.
¡No interaction with electron cloud
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
4
5. Applications of Neutron Scattering
¡ Elastic nuclear scattering (Bragg scattering)
¡ Ability to locate light atomic species in presence of heavy atoms (no simple
dependence on Z)
¡ Elastic magnetic scattering
¡ Probe magnetic structure
¡ Inelastic scattering
¡ Interaction of low-energy neutrons with vibrating crystal lattice and spin waves
¡ Probe magnetic phase transitions
¡ Isotopic substitution
¡ Isotopes can have different neutron scattering
¡ Tailor scattering factors to be more or less sensitive to a particular element
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
5
6. Neutron atomic scatter factors
¡ No simple dependence
on Z (unlike X-rays!)
¡ Variations in b due to
resonance absorption in
compound nucleus
formation
¡ Negative scattering
lengths for some
elements (H, Li, Ti, V,
Mn)
¡ V has smallest absolute
value of b (i.e., mostly
transparent to neutrons
and is typically used as
sample holder.
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
6
7. Comparison of different diffraction
techniques
X-rays
λ ~ 0.1nm
Uncharged
No magnetic dipole
Scattered by atomic
charge densities
(~0.1nm)
Electrons
λ ~ 0.002nm
Charged
Possesses magnetic
dipole
Scattered by electronic
and nuclear charge
densities (~0.1nm)
Neutrons
λ ~ 0.1nm
Uncharged
Possess magnetic dipole
Scattered by atomic
nucleus (~0.0001nm)
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
7
8. Electrons as a diffracting beam
¡ Electrons can be accelerated by electric fields
¡ Velocities can be significant proportion of speed of light –
need relativistic corrections
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
λ =
h
mv
=
h
2m0eV(1+
e
2m0c2
V)
=
1226.39
V + 0.97845×10−6
V2
Note that wavelengths are in pm!
8
9. Interaction of electrons with crystal
lattices
¡ Strong interactions with both electron clouds and positively charged
nuclei
¡ Probability of scattering of electron beam is ~ four times higher than
for X-rays
¡ Electron scattering factor can be related to the X-ray scattering factor
by the Moth-Bethe formula:
¡ High probability of scattering leads to multiple scattering events
(dynamic scattering) è electron scattering must be treated with
dynamic scattering theory
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
f el
(s) =
e
16π 2
ε0 s
2
[Z − f X
(s)] where s =
sinθ
λ
9
10. Electron diffraction geometry
¡ Wavelengths for electrons are much smaller
¡ Diffraction angles are much smaller (typically on the order of milliradians)
¡ Bragg condition can be approximated by
¡ Need to only look close to incident beam to find diffracted beam
¡ Ewald spheres are ~ 100-1000 times larger than X-rays (possible to orient
crystal such that whole plane of reciprocal lattice points are tangent to
sphere)
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
2dhklθ = λ
10
11. Sample preparation
¡ Strong interaction necessitates the use of very thin or
small samples (~ few hundred nm)
¡ Unlike neutrons and X-rays, electrons are absorbed by
matter
¡ Implications:
¡ Sample preparation is time-consuming and difficult
¡ Infinite crystal assumption is no longer valid and reciprocal lattice
points can no longer be treated as zero-volume mathematical points
(reciprocal point shape is the reciprocal of the extent of crystal – for
thin films, this means a cylinder extended in direction of thin film)
¡ Reciprocal point volume can intersect Ewald sphere even when
actual point is not on Ewald sphere – increases probability of
diffraction
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
11
12. Transmission electron microscope
(TEM)
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
Heating W filament emits
electrons
Focuses and directs
electron beam using
magnetic fields
Main image forming
lens
Fairly large
- Can be > 3 stories
high!
- Vacuum is maintained
as electrons cannot
travel very far in air
12
13. Synchrontron X-ray sources
¡ X-rays produced by circular motion of charged particles,
e.g. electrons (recall that X-rays are produced by
acceleration of charged particles)
¡ Properties
¡ High beam intensity: continuous source with five or more orders of
magnitude higher intensities than X-ray tubes
¡ Broad radiation spectrum
¡ Strong polarization: Nearly 100% linearly polarized, circular or
elliptical polarizations possible
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
13
14. Example applications of Synchroton
XRD
¡In-situ study of crystallization with heating
¡ High-flux allows for diffraction patterns to be taken in short
amount of time
¡Study of superlattice orderings, e.g., ordered α’-FeCo
¡ Superlattice reflections can be several orders of magnitude
less intense than fundamental reflections
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
14
16. Concept of tessellation
¡Tessellation – the filling of space using geometric
shapes with no overlap and no gaps
¡ 2D - Tiling using polygons
¡ 3D – Space filling using polyhedra
¡Frequently used in the way that materials
scientists think about crystal structures
¡Topic is vastly and mathematically beautiful, but in
this course, we will focus only a few simple
concepts and build some common crystal
structures
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
16
17. Regular polygons and polyhedra
¡Regular polygons and polyhedra have identical sides
and angles.
¡2D
¡ Equilateral triangle
¡ Square
¡ Regular hexagon
¡3D (also known as platonic solids)
¡ Tetrahedron
¡ Cube
¡ Octahedron
¡ Icosahedron
¡ Pentagonal dodecahedron
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
17
18. 2D tilings
¡ Regular tilings (monohedral tilings)
¡ Labeled using the Schläfli symbols
(nm, where n is number of the sides
of the polygon and m is the number
of polygons meeting at a vertex)
¡ Archimedean tilings
¡ Still uses regular polygons, but more
than one type allowed.
¡ All vertices remain identical.
¡ Only 8 additional possible tilings
¡ K-uniform and other tilings
¡ Further relaxation of number of
unique vertices and other conditions.
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
36 44 63
18
19. Stackings of 36 tilings
¡ 3D crystals can be constructed by stackings of 2D tilings.
¡ An important class of structures – the closed-packed
structures – comprise of stacking of 36 tilings
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
• A 36 tiling has plane group p6mm
• If we consider a single layer of atoms
occupying “A” sites, two kinds of
interstitial sites are created – “B” sites
and “C” sites.
• Subsequent layers can occupy either
B or C sites to form close-packed
structures, and the process can be
repeated to generate infinite variations
of stacking
19
20. Two common forms of closed packing
¡ Hexagonal close-packed
¡ ABAB stacking
¡ Face-centered cubic
¡ ABCABC stacking
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
Fcc perspective views
20
21. Interstitials in close-packed structures
¡ Tetrahedral interstitial
¡ Four-fold coordinated
¡ Formed by having an atom atop three atoms
¡ Octahedral interstitial
¡ Formed when there are no atoms sitting directly on top of
the interstitial
¡ Six-fold coordinated
¡ Larger than tetrahedral site
¡ Interstitial can be labeled as α, β, or γ depending on
whether the site is formed by B-C, A-C or A-B planes
respectively.
¡ (Recall that NaCl can be thought of as having an fcc lattice
of Na with Cl sitting in the oct interstitial)
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
21
22. Notations for close-packed structures
¡ ABC notation
¡ Can be modified to describe compounds (e.g., CdI2 with Cd occupying
tetrahedal interstices between close-packed I planes can be denoted as α
BC…
¡ E.g., SiC has many polytypes that differ simply in the stacking sequence of
Si (C simply occupies the tetrahedral interstitials).
¡ Ramsdell notation
¡ Total number of close-packed layers followed by a letter that indicates
whether the lattice type is cubic (C), hexagonal (H), or rhombohedral (R). If
two or more structures have the same lattice type and the same repeat
period, a subscript a, b, c, or 1, 2, 3 is used to distinguish between
structures.
¡ E.g., SiC has two hexagonal polytypes with stacking sequences ABCACB .
. .and ABCBAB . . . for the Si atoms. They are distinguished by their
subscripts as 6H1 and 6H2, respectively.
¡ Does not specify actual stacking sequence
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
22
23. Crystal structures of elements
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
23
24. Parent, derivative and superlattice
structures
¡Derivative structures are those that are derived
from simpler structures by substitution of one
atom for another
¡Interstitial structures are obtained by ordered
occupation of subsets of interstitial sites in simple
structures
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
24
25. Definition of Superlattice
¡ Consider two lattice’s whose basis vectors are related by:
¡ If Mij are integers and det(M) = 1, then the two lattices coincide.
¡ If Mij are integers and det(M) > 1, then the lattice defined by A’ is a
superlattice of that defined by A.
¡ If Mij are integers and det(M) < 1, then the lattice defined by A’ is a
sublattice of that defined by A.
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
!A =
a1
!
a2
!
a3
!
"
#
$
$
$
$
$
%
&
'
'
'
'
'
=
M11 M12 M13
M21 M22 M23
M31 M32 M33
"
#
$
$
$$
%
&
'
'
''
a1
a2
a3
"
#
$
$
$$
%
&
'
'
''
= MA
25
26. Classification of structures
¡ Strukturbericht symbols
¡ Letter followed by number
¡ Sequentialnumbering by order of
discovery,e.g., A2 refers to bcc structure.
¡ Frequently used in materials science
literature
¡Pearson symbol
¡ Bravais lattice symbol (a, m, o, t, h,
c) + centering (P, C, I, F) + # of
atoms in unit cell.
¡ E.g., NaCl has Pearson symbol
cF8.
¡ Not unique.
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
26
27. Structure of metals
¡ Derivative structures are based on fcc, bcc, and hcp
parent structures
¡ fcc (A1) and hcp (A3) – Stackings of 36 tiles.
¡ bcc (A2) – Stacking of 44 tiles.
¡ fcc and bcc are derivatives of the simple cubic structure, which is
rarely observed for elements (though common in compounds)
¡ fcc and hcp are close-packed – packing fraction of 74.05%. bcc is
not close-packed – packing fraction of 68.02%.
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
27
28. Atomic sizes
¡ Some metals have more than one allotrope
¡ Fe exists in bcc and fcc structures
¡ Bcc lattice constant = 2.8664 Angstroms
¡ Fcc lattice constant = 3.6468 Angstroms
¡ If we treat Fe atoms as touching spheres, we can
derive associated atomic radii for the two
structures
¡ Bcc spheres are touching along [111]
¡ Fcc spheres are touching along [110]
¡ ~4% larger radius for fcc
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
4rbcc = a2
+ a2
+ a2
→ rbcc =
3a
4
=1.242nm
4rfcc = a2
+ a2
→ rfcc =
2a
4
=1.289nm
28
29. Interstitial sites in fcc and bcc
¡ How many of each
type of interstitials
are there in the bcc
and fcc unit cells?
¡ Bcc
¡ # oct sites = 6 x 0.5 +
12 * 0.25 = 6
¡ # tet sites = 6 x 4 x
0.5 = 12
¡ Fcc
¡ # oct sites = 1 + 3 x 4
x 0.24 = 4
¡ # tet sites = 8
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
bcc
fcc
29
30. Packing fractions
¡ Ratio of the volume occupied by atoms to the total volume of
unit cell
¡ Kepler’s conjecture: No arrangement of equally sized spheres
filling space has a greater average density than that of the
cubic close packing (face-centered cubic) and hexagonal close
packing arrangements – recently proved with help of computers
by Thomas Hale
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
pfcc =
4×
4
3
πrfcc
3
a3
= 74.05%
pbcc =
2×
4
3
πrbcc
3
a3
= 68.02%
30
31. Alloys
¡ Substitutional solid solutions
¡ Same crystal structure as components
¡ Lattice constant governed by Vegard’s law (with some deviations)
¡ Interstitial alloys
¡ One component atom sits in interstitial sites of another large
component atom
¡ Lattice constant determined by strain effects
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
31
32. Hume-Rothery rules
1. Atomic size factor: The range of solid solubility will be restricted if
the atomic radii differ by more than about 15%.
2. Electronegativity valency effect: Large electronegativity differences
between components of a binary alloy can promote charge transfer
and differences in the covalency, ionicity, or metallicity of the bonds.
This leads to bond energy differences between A−A, A−B, and B−B
bond energies in the alloy. A strong proclivity for A−B bond
formation can lead to the formation of stable compounds.
3. Relative valency effect: A metal of lower valency is more likely to
dissolve in a metal of higher valency than vice versa. This rule is
not universally obeyed.
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
32
33. Derivative and superlattice structures
in alloys
¡ At high temperatures, alloys are typically disordered. As temperature
is decreased, some alloys undergo a disorder-order phase transition
resulting in an ordered solid solution or superlattice or superstructure.
¡ fcc (Fm-3m) derivatives:
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
L10: CuAu, FePt, FePd L12: Cu3Au,Au3Cd, AlCo3
Tetragonal P4/mmm Cubic Pm-3m
33
34. XRD patterns
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
34
35. Fcc- interstitial substitution
¡Diamond cubic (A4)
¡ Tet interstial in fcc occupied
¡ Common for many Group IV
semiconductors (Si, Ge)
¡Rocksalt (B1)
¡ Oct interstitial occupied by a different
atom
¡ Common for many ionic compounds
(NaCl, LiF, etc.)
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
35
36. Bcc derived structures
¡ CsCl structure
¡ 2x2x2 bcc superlattices (characteristics of both fcc and
bcc)
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
D03: BiF3, Fe3Si, AlF3 L21: A2BC – Cu2MnAl
36
37. Diamond cubic derived structures
¡Zincblende (B3)
¡ III-V and II-VI compounds
¡ ZnS, AsGa, InSb
¡Fluorite – AB2 (C)
¡ CaF2
¡Anti-fluorite
¡ Similar to fluorite, but with
cations and anions reversed
¡ K2O
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
37
38. Hcp derived structures
¡Interstitial occupation in
tet or oct sites
¡ Wurtzite ZnO (B4) structure
– occupation of one of tet
sites in hcp
¡ B81 NiAs structure –
occupation of oct sites
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
38
39. Types of ceramics
¡ Restrict our discussion to binary ceramics (two
components)
¡ Ionic ceramics
¡ Compounds of an electropositive cation M with an electronegative
anion X, e.g., Al2O3, MgO, ZrO2, NaCl
¡ Packing and coordination governed by Pauling’s rules as discussed
earlier in the course
¡ Covalent ceramics
¡ Covalent bonding
¡ Examples: GaAs, SiC, ZnO, SiO2
¡ Note that the ionic/covalent classification is not a strict one
– all structures have some ionic and covalent character
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
39
40. Halide salts
¡ Monovalent cations and anions
¡ Two main types of structure
¡ Rocksalt or NaCl structure (fcc derivative)
¡ CsCl structure (bcc derivative)
¡ Significantly larger radius of Cs compared to Na
responsible for the difference in structures
¡ CsCl in fact exists in both the α-CsCl form, as well as a
rocksalt structure at higher temperatures
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
40
41. Oxides of Fe
¡FeO (wustite)
¡ Rocksalt (NaCl) structure
¡Fe3O4 (Magnetite)
¡ Spinel structure
¡Fe2O3
¡ α (hematite)
¡ γ (maghemite)
¡ β and δ are two other allotropes
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
41
42. Close-packed sulfides and oxides
¡Zincblende ZnS structure discussed previously
¡Corundum Al2O3
¡ Mineral name for ruby / emerald / sapphire
¡ Almost hcp O2- with Al3+ occupying 2/3 of oct sites
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
42
43. Ternary oxide structures
¡ Perovskite ABO3 (E21)
¡ Prototype CaTiO3
¡ Large family of crystalline ceramics
¡ Idealized perovskite is cubic, but more typically is tetragonal or
orthorhombic due to tilting or distortion
¡ Many technological applications rely on perovskite structures
¡ Solar
¡ Ferroelectrics
¡ Catalysts
¡ Superconductors
¡ ….
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
43
44. Ternary oxide structures
¡Spinel AB2O4
¡ Prototype MgAl2O4
¡ Fcc sublattice of O2-, with A occupying a fraction of tet
sites and B occupying a fraction of oct sites.
NANO 106 - Crystallography ofMaterials by Shyue Ping Ong - Lecture 13
44