MODIFICATION OF DOPANT CONCENTRATION PROFILE IN A FIELD-EFFECT HETEROTRANSIST...msejjournal
In this paper we consider an approach of manufacturing more compact field-effect heterotransistors. The
approach based on manufacturing a heterostructure, which consist of a substrate and an epitaxial layer
with specific configuration. After that several areas of the epitaxial layer have been doped by diffusion or
ion implantation with optimized annealing of dopant and /or radiation defects. At the same time we introduce
an approach of modification of energy band diagram by additional doping of channel of the transistors.
We also consider an analytical approach to model and optimize technological process.
Scheelite CGEW/MO for luminescence - Summary of the paperJoke Hadermann
This presentation gives very shortly the highlights of our paper.
Incommensurate Modulation and Luminescence in the CaGd2(1-x)Eu2x(MoO4)(4(1-y))(WO4)(4y) (0 <=><=><=><= 1) Red Phosphors
published in Chemistry of Materials, 25, 21 (2013) 4387-4395
by Vladimir Morozov, Anne Bertha, Katrien Meert, Senne Van Rompaey, Dmitry Batuk, Gerardo T. Martinez, Sandra Van Aert, Philippe F. Smet, Maria Raskina, Dirk Poelman, Artem Abakumov, Joke Hadermann
Determining a structure with electron crystallography - Overview of the paper...Joke Hadermann
The route to a solved structure (in this case Pb13Mn9O25) on the basis of precession electron diffraction, combined with HAADF-STEM, HRTEM, EELS and EDX is shown.
Summary of the paper "Solving the Structure of Li Ion Battery Materials with Precession
Electron Diffraction: Application to Li2CoPO4F"
Direct space structure solution from precession electron diffraction data: Re...Joke Hadermann
The presentation shows the main points from the publication "Direct space structure solution from precession electron diffraction data: Resolving heavy and light scatterers in Pb13Mn9O25" about how thee structure of Pb13Mn9O25 was solved using transmission electron microscopy.
MODIFICATION OF DOPANT CONCENTRATION PROFILE IN A FIELD-EFFECT HETEROTRANSIST...msejjournal
In this paper we consider an approach of manufacturing more compact field-effect heterotransistors. The
approach based on manufacturing a heterostructure, which consist of a substrate and an epitaxial layer
with specific configuration. After that several areas of the epitaxial layer have been doped by diffusion or
ion implantation with optimized annealing of dopant and /or radiation defects. At the same time we introduce
an approach of modification of energy band diagram by additional doping of channel of the transistors.
We also consider an analytical approach to model and optimize technological process.
Scheelite CGEW/MO for luminescence - Summary of the paperJoke Hadermann
This presentation gives very shortly the highlights of our paper.
Incommensurate Modulation and Luminescence in the CaGd2(1-x)Eu2x(MoO4)(4(1-y))(WO4)(4y) (0 <=><=><=><= 1) Red Phosphors
published in Chemistry of Materials, 25, 21 (2013) 4387-4395
by Vladimir Morozov, Anne Bertha, Katrien Meert, Senne Van Rompaey, Dmitry Batuk, Gerardo T. Martinez, Sandra Van Aert, Philippe F. Smet, Maria Raskina, Dirk Poelman, Artem Abakumov, Joke Hadermann
Determining a structure with electron crystallography - Overview of the paper...Joke Hadermann
The route to a solved structure (in this case Pb13Mn9O25) on the basis of precession electron diffraction, combined with HAADF-STEM, HRTEM, EELS and EDX is shown.
Summary of the paper "Solving the Structure of Li Ion Battery Materials with Precession
Electron Diffraction: Application to Li2CoPO4F"
Direct space structure solution from precession electron diffraction data: Re...Joke Hadermann
The presentation shows the main points from the publication "Direct space structure solution from precession electron diffraction data: Resolving heavy and light scatterers in Pb13Mn9O25" about how thee structure of Pb13Mn9O25 was solved using transmission electron microscopy.
Bayesian modelling and computation for Raman spectroscopyMatt Moores
Raman spectroscopy can be used to identify molecules by the characteristic scattering of light from a laser. Each Raman-active dye label has a unique spectral signature, comprised by the locations and amplitudes of the peaks. The Raman spectrum is discretised into a multivariate observation that is highly collinear, hence it lends itself to a reduced-rank representation. We introduce a sequential Monte Carlo (SMC) algorithm to separate this signal into a series of peaks plus a smoothly-varying baseline, corrupted by additive white noise. By incorporating this representation into a Bayesian functional regression, we can quantify the relationship between dye concentration and peak intensity. We also estimate the model evidence using SMC to investigate long-range dependence between peaks. These methods have been implemented as an R package, using RcppEigen and OpenMP.
Presented at Evolution 2013, June 24; describes an approach to teaching populations genetics at the upper undergraduate/beginning graduate level, using simulations based in R and incorporating available large genomic data sets.
Agu maosi chen h31g-1590 retrieval of surface ozone from uv-mfrsr irradiances...Maosi Chen
High concentration of surface ozone is harmful to humans and plants. USDA UV-B Monitoring and Research Program (UVMRP) uses Ultraviolet (UV) version of Multi-Filter Rotating Shadowband Radiom-eter (UV-MFRSR) to measure direct, diffuse, and total irradiances every 3 minutes at 7 UV channels (i.e. 300, 305, 311, 317, 325, 332, and 368 nm channels with 2 nm full width at half maximum). There have been plenty of literature exploring retrieval methods of total column ozone from UV-MFRSR measurements, but few has explored the retrieval of surface ozone. Under clear-sky conditions, UV irradiances absorption by ozone are significant and variable by height and wavelength. Therefore, multi-channel UV irradiances at the ground have the potential to resolve ozone concentrations at multiple vertical layers (including surface ozone). In this study, we used a deep learning algorithm (i.e. Self-Normalizing Neural Network, SNN) to retrieve surface ozone from 3-minute UV-MFRSR direct and diffuse irradiances (and the airmass) under clear-sky conditions at the UVMRP station located at Billings, Oklahoma. The 3-minute surface ozone data for training and validation are accumulated from 1-second surface ozone measured at the collocated Southern Great Plains (SGP) station by US Department of Energy Atmospheric Radiation Measurement Climate Research Facility (ARM). To cover the cloudy conditions, we also explored several spatial interpolation techniques [i.e. Triangulation-based linear interpolation, Graph Convolutional Neural Network (GCNN or ChebNet), mixture model network (MoNet), and Re-current Neural Network (RNN)] to estimate the hourly surface ozone at the same UVMRP station from the adjacent (i.e. within the 3-degree box of) US Environmental Protection Agency (EPA) hourly surface ozone observations.
STUDIES ON INTEGRATED BIO-HYDROGEN PRODUCTION PROCESS-EXPERIMENTAL AND MODELINGArghya_D
In the project “Studies on integrated biohydrogen production process-Experimental and Modeling”,a co-culture (mixture of two microorganisms in a single reactor) study of a dark fermentative and photofermentative microorganism was done to assess its hydrogen production performance. For modeling purpose, Artificial Neural Network and Genetic Algorithm has been used as a stochastic technique. The optimized data from batch study was successfully used to run a photobioreactor in continuous mode. A mechanistic model was developed for a continuous co-culture setup using data from literature and solved using MATLAB.
Data Driven Choice of Threshold in Cepstrum Based Spectrum Estimatesipij
The technique of cepstrum thresholding, which is shown to be an effective, yet simple, way of obtaining a smoothed non parametric spectrum estimate of a stationary signal. The major problem of this method is the choice of the threshold value for variance reduction of spectrum estimates. This paper proposes a new threshold selection method which is based on cross validation schemes such as Leave-One-Out, LeaveTwo-Out and Leave-Half-Out. This new methods are easy to describe, simple to implement, and does not impose severe conditions on the unknown spectrum. Numerical results suggest that this new methods are shown to be in agreement with those obtained when the spectrum is fully known.
We investigate the use of stochastic parametrization to account for model errors due to sub-grid scales in data assimilation of chaotic systems. Using data from fine simulations of the system, the stochastic parametrization leads to a non-Markovian model that captures the ket statistical and dynamical properties of the full system. The non-Markovian model can then be used in data assimilation algorithms to improve the performance of state estimation and prediction. Tests on the two-layer Lorenz 96 model show that such a non-Markovian stochastic parametrization approach improves data assimilation, and it outperforms the techniques of localization and inflation in the ensemble Kalman filter with perturbed observations.
An Illustration from Heart Rate Variability Data
I have made an attempt to make calcification of different activities from Hear Rate Variability (HRV) data. I have also used model comparison here. Mostly it is graphics, but I will try to add some more text in future.
In this paper we represent a modified Generalized Regression Artificial Neural net that can recognize all breast cancer of Wisconsin Diagnostic Breast Cancer and Wisconsin Prognostic Breast Cancer correctly. In this method the modified Neural Net trained with 50% of data & 50% for test. But the result is the ability of classify with 100% accuracy. The all 50% train & test data chosen randomly.
This method is based on the fact that calculation in float numbers will remove accuracy. By reducing the number of calculation the accuracy of result increase significantly.
[Slides] Using deep recurrent neural network for direct beam solar irradiance...Maosi Chen
SPIE slides
If you are interested in the corresponding manuscript, please visit http://dx.doi.org/10.1117/12.2273364
or send me (maosi.chen@colostate.edu) an email to request a copy for personal use.
Bayesian modelling and computation for Raman spectroscopyMatt Moores
Raman spectroscopy can be used to identify molecules by the characteristic scattering of light from a laser. Each Raman-active dye label has a unique spectral signature, comprised by the locations and amplitudes of the peaks. The Raman spectrum is discretised into a multivariate observation that is highly collinear, hence it lends itself to a reduced-rank representation. We introduce a sequential Monte Carlo (SMC) algorithm to separate this signal into a series of peaks plus a smoothly-varying baseline, corrupted by additive white noise. By incorporating this representation into a Bayesian functional regression, we can quantify the relationship between dye concentration and peak intensity. We also estimate the model evidence using SMC to investigate long-range dependence between peaks. These methods have been implemented as an R package, using RcppEigen and OpenMP.
Presented at Evolution 2013, June 24; describes an approach to teaching populations genetics at the upper undergraduate/beginning graduate level, using simulations based in R and incorporating available large genomic data sets.
Agu maosi chen h31g-1590 retrieval of surface ozone from uv-mfrsr irradiances...Maosi Chen
High concentration of surface ozone is harmful to humans and plants. USDA UV-B Monitoring and Research Program (UVMRP) uses Ultraviolet (UV) version of Multi-Filter Rotating Shadowband Radiom-eter (UV-MFRSR) to measure direct, diffuse, and total irradiances every 3 minutes at 7 UV channels (i.e. 300, 305, 311, 317, 325, 332, and 368 nm channels with 2 nm full width at half maximum). There have been plenty of literature exploring retrieval methods of total column ozone from UV-MFRSR measurements, but few has explored the retrieval of surface ozone. Under clear-sky conditions, UV irradiances absorption by ozone are significant and variable by height and wavelength. Therefore, multi-channel UV irradiances at the ground have the potential to resolve ozone concentrations at multiple vertical layers (including surface ozone). In this study, we used a deep learning algorithm (i.e. Self-Normalizing Neural Network, SNN) to retrieve surface ozone from 3-minute UV-MFRSR direct and diffuse irradiances (and the airmass) under clear-sky conditions at the UVMRP station located at Billings, Oklahoma. The 3-minute surface ozone data for training and validation are accumulated from 1-second surface ozone measured at the collocated Southern Great Plains (SGP) station by US Department of Energy Atmospheric Radiation Measurement Climate Research Facility (ARM). To cover the cloudy conditions, we also explored several spatial interpolation techniques [i.e. Triangulation-based linear interpolation, Graph Convolutional Neural Network (GCNN or ChebNet), mixture model network (MoNet), and Re-current Neural Network (RNN)] to estimate the hourly surface ozone at the same UVMRP station from the adjacent (i.e. within the 3-degree box of) US Environmental Protection Agency (EPA) hourly surface ozone observations.
STUDIES ON INTEGRATED BIO-HYDROGEN PRODUCTION PROCESS-EXPERIMENTAL AND MODELINGArghya_D
In the project “Studies on integrated biohydrogen production process-Experimental and Modeling”,a co-culture (mixture of two microorganisms in a single reactor) study of a dark fermentative and photofermentative microorganism was done to assess its hydrogen production performance. For modeling purpose, Artificial Neural Network and Genetic Algorithm has been used as a stochastic technique. The optimized data from batch study was successfully used to run a photobioreactor in continuous mode. A mechanistic model was developed for a continuous co-culture setup using data from literature and solved using MATLAB.
Data Driven Choice of Threshold in Cepstrum Based Spectrum Estimatesipij
The technique of cepstrum thresholding, which is shown to be an effective, yet simple, way of obtaining a smoothed non parametric spectrum estimate of a stationary signal. The major problem of this method is the choice of the threshold value for variance reduction of spectrum estimates. This paper proposes a new threshold selection method which is based on cross validation schemes such as Leave-One-Out, LeaveTwo-Out and Leave-Half-Out. This new methods are easy to describe, simple to implement, and does not impose severe conditions on the unknown spectrum. Numerical results suggest that this new methods are shown to be in agreement with those obtained when the spectrum is fully known.
We investigate the use of stochastic parametrization to account for model errors due to sub-grid scales in data assimilation of chaotic systems. Using data from fine simulations of the system, the stochastic parametrization leads to a non-Markovian model that captures the ket statistical and dynamical properties of the full system. The non-Markovian model can then be used in data assimilation algorithms to improve the performance of state estimation and prediction. Tests on the two-layer Lorenz 96 model show that such a non-Markovian stochastic parametrization approach improves data assimilation, and it outperforms the techniques of localization and inflation in the ensemble Kalman filter with perturbed observations.
An Illustration from Heart Rate Variability Data
I have made an attempt to make calcification of different activities from Hear Rate Variability (HRV) data. I have also used model comparison here. Mostly it is graphics, but I will try to add some more text in future.
In this paper we represent a modified Generalized Regression Artificial Neural net that can recognize all breast cancer of Wisconsin Diagnostic Breast Cancer and Wisconsin Prognostic Breast Cancer correctly. In this method the modified Neural Net trained with 50% of data & 50% for test. But the result is the ability of classify with 100% accuracy. The all 50% train & test data chosen randomly.
This method is based on the fact that calculation in float numbers will remove accuracy. By reducing the number of calculation the accuracy of result increase significantly.
[Slides] Using deep recurrent neural network for direct beam solar irradiance...Maosi Chen
SPIE slides
If you are interested in the corresponding manuscript, please visit http://dx.doi.org/10.1117/12.2273364
or send me (maosi.chen@colostate.edu) an email to request a copy for personal use.
Similar to ACA Conference, May 30 2017, New Orleans, USA (20)
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Salas, V. (2024) "John of St. Thomas (Poinsot) on the Science of Sacred Theol...Studia Poinsotiana
I Introduction
II Subalternation and Theology
III Theology and Dogmatic Declarations
IV The Mixed Principles of Theology
V Virtual Revelation: The Unity of Theology
VI Theology as a Natural Science
VII Theology’s Certitude
VIII Conclusion
Notes
Bibliography
All the contents are fully attributable to the author, Doctor Victor Salas. Should you wish to get this text republished, get in touch with the author or the editorial committee of the Studia Poinsotiana. Insofar as possible, we will be happy to broker your contact.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
1. WinPSSP: a computer program applying
direct-space methods for the crystal
structure solution of molecular solids from
X-ray powder diffraction
Silvina Pagola,1Alekos Polymeros,2 and Nikolaos Kourkoumelis3
1 Department of Chemistry and Biochemistry, Hampton University, Hampton, VA, 23668 and
Department of Applied Science, College of William & Mary, Williamsburg, VA, USA.
2 Department of Physics, University of Ioannina, 45110, Ioannina, Greece,
3Department of Medical Physics, Medical School, University of Ioannina, 45110, Ioannina, Greece.
ACA Meeting, New Orleans, May 30, 2017
2. Outline
► Other free-distribution software used with WinPSSP
► WinPSSP workflow
► Definition of input data for WinPSSP
► 3-amino-5-mercapto-1,2,4-triazole (rigid molecule)
► Phenylpyridine hydroxybenzoic acid co-crystal (two flexible
fragments to locate)
► Drofenine hydrochloride (relocation of flexible
fragments based on model-biased Le Bail fits)
1) Computer programs PSSP (2010) and WinPSSP (2017)
2) Examples of molecular location with WinPSSP:
3) Acknowledgements
3. ►Pssp is published in J. Appl. Cryst. (2010) 43, 370-376
►Pssp was written in 1998 (P. W. Stephens, X3B1 powder diffraction
beamline, NSLS-I, BNL, USA) in the C/C++ language with contributions of
a few other people.
Pssp description and use (in MS_DOS)
►Ascii text input and
output files
► Pssp is a direct-space methods program used to find the atomic
coordinates of molecular solids from X-ray powder diffraction.
5. Free-distribution software used with WinPSSP
Space group symmetry (P21/c, P1, P212121, P21, C2/c)
STRUCTURE SOLUTION
(molecular location)
RIETVELD REFINEMENT (setup rigid bodies, or refine with bond
angle and distance restraints).
Add H with WinGX/SHELX, CRYSTALS
(WinPLOTR, CMPR)
ITO
DICVOL06
McMAILLE
TREOR, N-TREOR
CRYSFIRE
WinPSSP
I”obs”,hkl (*.rfl, *.hkl files) and FWHM
Peak positions
Unit-cell parameters
INDEXING
Systematic absences & International Tables for Crystallography
Volume A
LeBail method (GSAS, FULLPROF)PATTERN DECOMPOSITION
Output data
(approximate atomic coordinates)
Input data
GSAS
*.cif files
*.rfl files, FWHM
7. Example 1: 3-amino-5-mercapto-1,2,4-triazole
From an equally weighted Le Bail fit (GSAS)
a= 3.9986 Å, b=12.3796 Å, c=9.8468 Å, b=102.13°; V=476.6 Å3 ; 17 Å3 per non-H atom
P21/c; Z=4 ; 1 molecule in the general position
8. WinPSSP performance in “routine”
problems
(Submitted to the Journal
of Applied Crystallography)
► H atoms are not used to solve structures
► Most common space groups
9. WinPSSP: estimation of the number of models required to
solve structures
Number of structural parameters
11. Large molecular solids solved with pssp
Part of this figure was extracted from: David, W. I. F., Shankland, K., McCusker, L. B. and Baerlocher, Ch.
“Structure determinaton from powder diffraction data”, Oxford Univ. Press, 2002
Jaborosalactol 24
(77 atoms)
2000
2010
NumberofCSDentries
Number of atoms (including H when reported)
2008
2012
N-acetyl-L-phenylalanyl-NH2
(116 atoms, Z’=4)
Amcinonide
(142 atoms, Z’=2)
WinPSSP
(molecular
location)
GSAS
(model-
biased *.rfl)
WinPSSP
(molecular
re-location)
Rietveld fit
(GSAS)
Input data
(equally
weighted *.rfl)
end
Altomare et al., J. Res. Natl. Inst.
Stand. Technol. 109, 125-132
(2004)
Malaria pigment
(43 atoms)
12. Example 3: WinPSSP facilitates the relocation of
flexible fragments using a model-biased Le Bail fit
13. ► Use of the National Synchrotron Light Source, Brookhaven National
Laboratory, supported by the U.S. Department of Energy, Office of Science,
Office of Basic Energy Sciences, under Contract No. DE-AC02-98CH10886.
► Use of the Advanced Photon Source at Argonne National Laboratory supported
by the U. S. Department of Energy, Office of Science, Office of Basic Energy
Sciences, under Contract No. DE-AC02-06CH11357.
► I am grateful to ODU for the use of the Rigaku Miniflex II powder diffractometer.
► I am grateful for partial funding from ICDD GIA 08-04.
► Distribution website: http://users.uoi.gr/nkourkou/winpssp/
Acknowledgements
Thanks !