Quantum mechanical model of atom belongs to XI standard Chemistry which describes the quantum mechanics concept of atom, quantum numbers, shape and energies of atomic orbitals.
(This presentation is in .pptx format, and will display well when embedded improperly, such as on the SlideShare site. Please download at your discretion, and be sure to cite your source)
Review of the Hartree-Fock algorithm for the Self-Consistent Field solution of the electronic Schroedinger equation. This talk also serves to highlight some basic points in Quantum Mechanics and Computational Chemistry.
March 21st, 2012
BOHRS MODEL AND ITS LIMITATIONS,Concept of shells and subshells, dual nature of matter and light, de broglie's relationship, heisenberg uncertainty principle, concept of orbitals, rules for filling electrons in orbitals-Aufbau principle.
Pauli's exclusion principle and hunds rule, electronic configuration of atoms, stability of half filled and completely filled orbitals.
Quantum mechanical model of atom belongs to XI standard Chemistry which describes the quantum mechanics concept of atom, quantum numbers, shape and energies of atomic orbitals.
(This presentation is in .pptx format, and will display well when embedded improperly, such as on the SlideShare site. Please download at your discretion, and be sure to cite your source)
Review of the Hartree-Fock algorithm for the Self-Consistent Field solution of the electronic Schroedinger equation. This talk also serves to highlight some basic points in Quantum Mechanics and Computational Chemistry.
March 21st, 2012
BOHRS MODEL AND ITS LIMITATIONS,Concept of shells and subshells, dual nature of matter and light, de broglie's relationship, heisenberg uncertainty principle, concept of orbitals, rules for filling electrons in orbitals-Aufbau principle.
Pauli's exclusion principle and hunds rule, electronic configuration of atoms, stability of half filled and completely filled orbitals.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
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Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
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Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
2. Recall:
• The concept of atoms proposed by Dalton
explained many important observations:
- such as why compounds always have the
same composition and how chemical rxns.
occur
• Once chemists were convinced of the
existence of atoms…..they naturally began to
ask what atoms looked like?
3. The studies of Thomson, Rutherford and
Chadwick
• Lead to our picture of the atom:
- which includes a solid dense nucleus
containing protons and neutrons
about which we find the negatively charged
electrons
4. In this Chapter we will look at the atomic
structure in more detail.
• In particular we will develop a picture of the electron
arrangements in atoms
• This picture will allow us to account for the chemistry of
the elements
• With this knowledge we will revisit the arrangements of
the elements in the periodic table and see why there
are striking differences in the chemical properties of
elements in the groups
5. Electromagnetic Radiation and Energy
• The sun is a central
source of energy
• Energy from the sun
travels through space in
the form of
electromagnetic
radiation
6. Forms of Electromagnetic Radiation
• Visible light is a form of electromagnetic radiation
• Microwaves are another form of electromagnetic
radiation
• X-rays are yet another form of electromagnetic
radiation
***all of these forms of energy are different, but they are
all forms of electromagnetic radiation
7. Electromagnetic Radiation
• All forms of electromagnetic radiation exhibit
wave-like behavior and travel at the speed of
light in a vacuum (airless space)
speed of light = 3.8 x 1010
cm/s or 186,000 mi/s
8. Waves
• Waves have 3 primary characteristics:
1. Wavelength- λ (Greek letter lambda) is the distance between 2
consecutive peaks or troughs in a wave
2. Frequency- υ (Greek letter nu) it indicates how many waves
pass a given point per second
3. Speed- indicates how fast a given peak moves through space
9. • Electromagnetic radiation from the sun is divided into various
classes (forms) according to λ (wavelength)
• Energy from the sun reaches the earth in the form of visible and
ultra-violet light
• Hot coals emit infrared radiation
• Microwave ovens use microwave radiation to heat food
**** all have different wavelengths
10. Visible Light
• Also known as white light
• When passed through a prism
it separates into a continuous
range of colors with one
gradually blending into
another called the continuous
spectrum(rainbow)
• Separation is due to different
speeds in the prisim
• Each color of light has a
specific wavelength
12. Wavelength and energy
• Wavelength and energy have an inverse relationship, as
shown below
• h is Planck’s constant (6.626 × 10-34
J·s)
• c is the speed of light
λλ
hc
EE =∝
1
13. Energy and Wavelength
• Red light with the longest wavelength has the lowest
energy
• Purple light with the shortest wavelength has the
highest energy
14. The Nature of Energy
• The wave nature of light
does not explain how an
object can glow when its
temperature increases.
• Max Planck explained it
by assuming that energy
comes in packets called
quanta.
15. Photoelectric Effect
A freshly polished,
negatively charged
zinc plate looses its
charge if it is
exposed to
ultraviolet light.
This phenomenon
is called the
photoelectric
effect.
16. The Nature of Energy
• Einstein used this
assumption to explain the
photoelectric effect.
• He concluded that energy is
proportional to frequency:
E = hν
where h is Planck’s constant,
6.63 × 10−34
J-s.
17. The Nature of Energy
• Therefore, if one knows the
wavelength of light, one can
calculate the energy in one
photon, or packet, of that
light:
c = λν
E = hν
18. The Nature of Energy
Another mystery
involved the emission
spectra observed from
energy emitted by
atoms and molecules.
19. Heating an Element
• When an element is heated strongly to the
point that the element changes phase to a
gas, the gaseous atoms emit light like the sun
• One might think that the light produced would
result in a continuous spectrum like light
emitted from the sun…………instead…….
20. When an element is heated..
• Only definite or discrete colors are produced
• Since colors are discrete (definite) and the colors
correspond to energies
• The energy being emitted by the atoms of the
element is also discrete
21. An Elements Spectrum
• Is unique to that element
• Are called Atomic Emission Spectra or Line
Spectra
• Are the basis of a fireworks display
22. The Nature of Energy
• Niels Bohr adopted Planck’s
assumption and explained
these phenomena in this way:
1. Electrons in an atom can only
occupy certain orbits
(corresponding to certain
energies).
23. The Nature of Energy
• Niels Bohr adopted Planck’s
assumption and explained
these phenomena in this way:
2. Electrons in permitted orbits
have specific, “allowed”
energies; these energies will not
be radiated from the atom.
24. The Nature of Energy
• Niels Bohr adopted Planck’s
assumption and explained
these phenomena in this way:
3. Energy is only absorbed or
emitted in such a way as to
move an electron from one
“allowed” energy state to
another; the energy is defined
by
E = hν
25. The Nature of Energy
The energy absorbed or emitted from
the process of electron promotion or
demotion can be calculated by the
equation:
∆E = −RH ( )1
nf
2
1
ni
2
-
where RH is the Rydberg constant,
2.18 × 10−18
J, and ni and nf are the
initial and final energy levels of the
electron.
26. Electronic Structure
Good Points
• Electrons in Quantized
Energy Levels
• Maximum # electrons in
each n is 2n2
• Sublevels (s,p,d,f) and #
electrons they hold
Bad Points
• Electrons are placed in
orbits about nucleus
• Only explains emission
spectra of H2
• Does not address all
interactions
• Treats electron as
particle
27. The Wave Nature of Matter
• Louis de Broglie postulated that if light can
have material properties, matter should
exhibit wave properties.
• He demonstrated that the relationship
between mass and wavelength was
λ =
h
mv
28. The Uncertainty Principle
• Heisenberg showed that the more precisely the
momentum of a particle is known, the less
precisely is its position known:
• In many cases, our uncertainty of the
whereabouts of an electron is greater than the
size of the atom itself!
(∆x) (∆mv) ≥
h
4π
29. Dual Nature of Electron
Previous Concept;
A Substance is Either Matter or Energy
• Matter; Definite Mass and Position
Made of Particles
• Energy; Massless and Delocalized
Position not Specificed
Wave-like
30. Dual Nature of Electron
• Electron is both “particle-like” and “wave-like”
at the same time.
• Previous model only considered “particle-like”
nature of the electron
31.
32. Orbitals Replace Orbits
• Bohr Orbits- Both electron position and
energy known with certainty
• Orbitals – Regions of space where an
electrons of a given energy will most likely be
found
34. Quantum Mechanics
• Erwin Schrödinger
developed a mathematical
treatment into which both
the wave and particle
nature of matter could be
incorporated.
• It is known as quantum
mechanics.
35. Schrodinger Wave Equation (Ψ)
Describes size/shape/orientation of orbitals
7.5
• Wave Equation is based on…
1. Dual Nature of Electron (Electron both
particle and wave-like at the same time.)
2. Heisenberg Uncertainty Principle
(Orbitals describe a region in space
an electron will most likely be.)
36. Wave Equation (Ψ)
• Wave Equation describes the size, shape,
and orientation of the orbital the electron
(of a given energy) is in. There are four
variables in the function
-n; Energy and size of orbital
– l; Shape of orbital
– ml; Orientation of orbital
– ms; Electron Spin
(n, l, ml, ms)
37. Quantum Mechanics
• The square of the wave
equation, ψ2
, gives a
probability density map of
where an electron has a
certain statistical likelihood of
being at any given instant in
time.
38. 1. Each electron has a unique set of 4
Quantum Numbers
2. Each orbital described by the Quantum
Numbers can hold a maximum of 2
electrons.
39. Principal Quantum Number, n
• The principal quantum number, n,
describes the energy level on which the
orbital resides.
• The values of n are integers ≥ 0.
• n= 1, 2, 3, 4, ….
distance of e-
from the
nucleus
40. Azimuthal Quantum Number, l
• This quantum number defines the shape of
the orbital.
• Allowed values of l are integers ranging
from 0 to n − 1.
• We use letter designations to communicate
the different values of l and, therefore, the
shapes and types of orbitals.
42. Magnetic Quantum Number, ml
• Describes the three-dimensional
orientation of the orbital in space.
• Values are integers ranging from -l to l:
−l ≤ ml ≤ l.
• Therefore, on any given energy level, there
can be up to 1 s orbital, 3 p orbitals, 5 d
orbitals, 7 f orbitals, etc.
43. Magnetic Quantum Number, ml
• Orbitals with the same value of n form a shell.
• Different orbital types within a shell are subshells.
44. s Orbitals
• Value of l = 0.
• Spherical in shape.
• Radius of sphere
increases with increasing
value of n.
45. s Orbitals
Observing a graph of
probabilities of finding an
electron versus distance
from the nucleus, we see
that s orbitals possess
n−1 nodes, or regions
where there is 0
probability of finding an
electron.
50. Energies of Orbitals
• For a one-electron
hydrogen atom, orbitals
on the same energy
level have the same
energy.
• That is, they are
degenerate.
51. Energies of Orbitals
• As the number of
electrons increases,
though, so does the
repulsion between
them.
• Therefore, in many-
electron atoms, orbitals
on the same energy
level are no longer
degenerate.
52. Spin Quantum Number, ms
• In the 1920s, it was
discovered that two
electrons in the same
orbital do not have exactly
the same energy.
• The “spin” of an electron
describes its magnetic
field, which affects its
energy.
53. Spin Quantum Number, ms
• This led to a fourth
quantum number, the spin
quantum number, ms.
• The spin quantum number
has only 2 allowed values:
+1/2 and −1/2.
54. Pauli Exclusion Principle
• No two electrons in the
same atom can have
exactly the same energy.
• For example, no two
electrons in the same atom
can have identical sets of
quantum numbers.
55. How many 2p orbitals are there in an atom?
2p
n=2
l = 1
If l = 1, then ml = -1, 0, or +1
3 orbitals
How many electrons can be placed in the 3d
subshell?
3d
n=3
l = 2
If l = 2, then ml = -2, -1, 0, +1, or +2
5 orbitals which can hold a total of 10 e-
7.6
56.
57. Three Manners to Convey How
Electrons are Arranged
1. Electron Configuration ; List Orbitals and
Number of Electrons in Each
(1s2
2s2
2p6
3s2
…)
2. Quantum Numbers (2,0,0,+1/2)
3. Orbital Diagrams; List Orbitals and show
location of electrons and their spin
1s 2s 2p
59. Electron Configurations
• Distribution of all
electrons in an atom
• Consist of
– Number denoting the
energy level
– Letter denoting the type of
orbital
60. Electron Configurations
• Distribution of all
electrons in an atom.
• Consist of
– Number denoting the
energy level.
– Letter denoting the type of
orbital.
– Superscript denoting the
number of electrons in
those orbitals.
61. Writing Atomic Electron
Configurations
Two ways of writing configurations:
• One is called the spdf notation.
spdf notation for H, atomic number = 1
1 s1
no. of
electrons
value of lvalue of n
62. Writing Atomic Electron
Configurations
• The spdf notation can be shortened using
the noble gas notation.
spdf notation for K, atomic number = 19
1s2
2s2
2p6
3s2
3p6
4s1
OR
[Ar]4s1
core e-
valence e-
63. Orbital Diagrams
• Each box represents one
orbital.
• Half-arrows represent the
electrons.
• The direction of the arrow
represents the spin of the
electron.
67. Periodic Table
• We fill orbitals in
increasing order of
energy.
• Different blocks on the
periodic table, then
correspond to different
types of orbitals.
68. Order of orbitals (filling) in multi-electron atom
1s < 2s < 2p < 3s < 3p < 4s < 3d < 4p < 5s < 4d < 5p < 6s
7.7
69. Some Anomalies
• This occurs because
the 4s and 3d orbitals
are very close in
energy.
• Cu29
is also an anomaly
with an expected
config. of
[Ar] 4s2
3d9
and an
actual config. of
[Ar] 4s1
3d10
• These anomalies occur
in f-block atoms, as
well.
70. Ion Configurations
• To form cations from elements remove e-’s
from the subshell with the highest n.
P [Ne] 3s2
3p3
- 3e-
→ P3+
[Ne] 3s2
3p0
• For transition metals, remove ns electrons
and then (n - 1) electrons.
Fe [Ar] 4s2
3d6
loses 2 electrons → Fe2+
[Ar] 4s0
3d6
71. Na+
: [Ne] Al3+
: [Ne] F-
: 1s2
2s2
2p6
or [Ne]
O2-
: 1s2
2s2
2p6
or [Ne] N3-
: 1s2
2s2
2p6
or [Ne]
Na+
, Al3+
, F-
, O2-
, and N3-
are all isoelectronic with Ne
What neutral atom is isoelectronic with H-
?
H-
: 1s2
same electron configuration as He
8.2