Molecular cryo-EM discovers error in 25-year-old natural product structure | Research | Chemistry World
https://www.chemistryworld.com/news/molecular-cryo-em-discovers-error-in-25-year-old-natural-product-structure/4014124.article
https://www.chemistryworld.com/news/molecular-cryo-em-discovers-error-in-25-year-old-natural-product-structure/4014124.article
Chemistry World
Molecular cryo-EM discovers error in 25-year-old natural product ...
Nobel prize-winning biomolecule imaging technique adapted to characterise chemical compounds faster and easier than NMR and x-ray
Hohenberg_Kohn_1964_Inhomogeneous Electron Gas.pdf
819.2 KB
The original 1964 paper by Hohenberg and Kohn that gave birth to DFT
This bot includes LibGen (for books) and SciHub (for papers). Give it a try: @libgen_scihub_bot
Modern_Electronic_Structure_Theory_David_R_Yarkony_Editor_1995.pdf
35.6 MB
Modern Electronic Structure Theory - David R. Yarkony (Editor) (1995)
Watch "Intro to DFT - Day 2: Density-functional practice - Nicola Marzari" on YouTube
https://youtu.be/6tLx--alUZ8
https://youtu.be/6tLx--alUZ8
YouTube
Intro to DFT - Day 2: Density-functional practice - Nicola Marzari
An introduction to calculations using the total energy, planewaves, pseudopotential method. Suitable for everyone that wants to learn how to perform a DFT calculation. A self-learning handout and a virtual machine with pre-installed open-source quantum-simulation…
First crystal structure of bleach in its 200-year history | Research | Chemistry World
https://www.chemistryworld.com/news/first-crystal-structure-of-bleach-in-its-200-year-history/4014173.article
https://www.chemistryworld.com/news/first-crystal-structure-of-bleach-in-its-200-year-history/4014173.article
Chemistry World
First crystal structure of bleach in its 200-year history
X-ray structure of chemistry staples hypochlorite and hypobromite recorded for the first time
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MolAR: Molecular Augmented Reality
https://mtzgroup.github.io/molar/
https://mtzgroup.github.io/molar/
mtzgroup.github.io
MolAR
Molecular augmented reality
The dos and don’ts of machine learning research – TechTalks
https://bdtechtalks.com/2021/08/19/machine-learning-research-pitfalls/
https://bdtechtalks.com/2021/08/19/machine-learning-research-pitfalls/
TechTalks
The dos and don’ts of machine learning research
Machine learning research and product development present several challenges that, if not addressed, can steer your project in the wrong direction. These tips will help you avoid these pitfalls.
Artificial photosynthesis technology emerging
https://phys.org/news/2021-08-artificial-photosynthesis-technology-emerging.html
https://phys.org/news/2021-08-artificial-photosynthesis-technology-emerging.html
phys.org
Artificial photosynthesis technology emerging
Korean researchers are striving to turn artificial photosynthesis technology into reality to achieve carbon neutrality or accomplish a net carbon emission value of zero. Artificial photosynthesis is a ...
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Physicists Create a Bizarre ‘Wigner Crystal’ Made Purely of Electrons
n 1934, Eugene Wigner, a pioneer of quantum mechanics, theorized a strange kind of matter — a crystal made from electrons. The idea was simple; proving it wasn’t. Physicists tried many tricks over eight decades to nudge electrons into forming these so-called Wigner crystals, with limited success. In June, however, two independent groups of physicists reported in Nature the most direct experimental observations of Wigner crystals yet.
Article
n 1934, Eugene Wigner, a pioneer of quantum mechanics, theorized a strange kind of matter — a crystal made from electrons. The idea was simple; proving it wasn’t. Physicists tried many tricks over eight decades to nudge electrons into forming these so-called Wigner crystals, with limited success. In June, however, two independent groups of physicists reported in Nature the most direct experimental observations of Wigner crystals yet.
Article
Cambridge Cheminformatics Meeting - 1 Sep, on Zoom, free, open to all
Dear All,
I would like to announce our next Cambridge Cheminformatics Meeting on 1 September 2021, at 4pm UK time, and the event will be held as usual on Zoom, free, and open to all.
This is part of a regular series which we have organized for about 10 years now, four times per year, and further information about both this event, and the general series, can be found at
http://c-inf.net/
On this occasion the Cambridge Cheminformatics Meeting will feature the following topics and speakers:
Programme
"Computational Prediction of Allosteric Sites in GPCRs"
Irina Tikhonova, Queen's University Belfast
https://pure.qub.ac.uk/en/persons/irina-tikhonova
"DECIMER: Deep Learning for Chemical Image Recognition"
Chris Steinbeck, University of Jena
https://cheminf.uni-jena.de/
https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00469-w
"Probabilistic Random Forests for Target Prediction Consider Experimental Uncertainty"
Marianna Trapotsi and Lewis Mervin
University of Cambridge and AstraZeneca
https://chemrxiv.org/engage/chemrxiv/article-details/60c75862bdbb897fa4a3ad59
For registration please visit https://zoom.us/meeting/register/tJEtcuysqTojEtKQhtT5zh5bhk9tSIJtp19K.
In case you are also interested in future events please let me know directly, and I am happy to add you to our (low-volume; ca one email per month) mailing list of the Cambridge Cheminformatics Newsletter, which also includes general information about events and vacancies in our field (see http://www.DrugDiscovery.NET for previous editions of the newsletter).
Everyone is welcome to join in, and looking forward to seeing you on 1 September!
Best wishes,
Andreas
Dear All,
I would like to announce our next Cambridge Cheminformatics Meeting on 1 September 2021, at 4pm UK time, and the event will be held as usual on Zoom, free, and open to all.
This is part of a regular series which we have organized for about 10 years now, four times per year, and further information about both this event, and the general series, can be found at
http://c-inf.net/
On this occasion the Cambridge Cheminformatics Meeting will feature the following topics and speakers:
Programme
"Computational Prediction of Allosteric Sites in GPCRs"
Irina Tikhonova, Queen's University Belfast
https://pure.qub.ac.uk/en/persons/irina-tikhonova
"DECIMER: Deep Learning for Chemical Image Recognition"
Chris Steinbeck, University of Jena
https://cheminf.uni-jena.de/
https://jcheminf.biomedcentral.com/articles/10.1186/s13321-020-00469-w
"Probabilistic Random Forests for Target Prediction Consider Experimental Uncertainty"
Marianna Trapotsi and Lewis Mervin
University of Cambridge and AstraZeneca
https://chemrxiv.org/engage/chemrxiv/article-details/60c75862bdbb897fa4a3ad59
For registration please visit https://zoom.us/meeting/register/tJEtcuysqTojEtKQhtT5zh5bhk9tSIJtp19K.
In case you are also interested in future events please let me know directly, and I am happy to add you to our (low-volume; ca one email per month) mailing list of the Cambridge Cheminformatics Newsletter, which also includes general information about events and vacancies in our field (see http://www.DrugDiscovery.NET for previous editions of the newsletter).
Everyone is welcome to join in, and looking forward to seeing you on 1 September!
Best wishes,
Andreas
Queen's University Belfast
Irina Tikhonova
No more worrying about nomenclature – AI will tell you what that chemical is called | Research | Chemistry World
https://www.chemistryworld.com/news/no-more-worrying-about-nomenclature-ai-will-tell-you-what-that-chemical-is-called/4014170.article
https://www.chemistryworld.com/news/no-more-worrying-about-nomenclature-ai-will-tell-you-what-that-chemical-is-called/4014170.article
Chemistry World
No more worrying about nomenclature – AI will tell you what that ...
Open-source online resource converts organic chemical structures to their Iupac names and vice versa
Life_of_a_Scientist_An_Autobiographical_Account_of_the_Development.pdf
6.7 MB
Life of a Scientist: An Autobiographical Account of the Development of Molecular Orbital Theory - Robert S. Mulliken
Orbital_Interactions_in_Chemistry,_Second_Edition_by_Thomas_A_Albright.pdf
33 MB
Orbital Interactions in Chemistry, Second Edition
Machine_Learning_in_Chemistry_The_Impact_of_Artificial_Intelligence.pdf
90.8 MB
Machine Learning in Chemistry _ The Impact of Artificial Intelligence by Hugh M. Cartwright
FZJ-2014-02193.pdf
270.8 KB
Introduction to Molecular Dynamics Simulation
Biophysical_chemistry_by_Alan_Cooper,_Royal_Society_Of_Chemistry.pdf
19.1 MB
Biophysical chemistry by Alan Cooper, Royal Society Of Chemistry