Computational and Quantum Chemistry – Telegram
Computational and Quantum Chemistry
4K subscribers
48 photos
100 videos
177 files
1.6K links
A group dedicated to everything about theoretical and computational/quantum chemistry.
Please, write in English only. Keep on-topic. Be respectful always.
Download Telegram
By Stephan Grimme and co-workers:
Best Practice DFT Protocols for Basic Molecular Computational Chemistry

Nowadays, many chemical investigations can be supported theoretically by routine molecular structure calculations, conformer ensembles, reaction energies, barrier heights, and predicted spectroscopic properties. Such standard computational chemistry applications are most often conducted with density functional theory (DFT) and atom-centered atomic orbital basis sets implemented in many standard quantum chemistry software packages. This work aims to provide general guidance on the various technical and methodological aspects of DFT calculations for molecular systems, and how to achieve an optimal balance between accuracy, robustness, and computational efficiency through multi-level approaches. The main points discussed are the density functional, the atomic orbital basis sets, and the computational protocol to describe and predict experimental behavior properly. This is done in three main parts: Firstly, in the form of a step-by-step decision tree to guide the overall computational approach depending on the problem; secondly, using a recommendation matrix that addresses the most critical aspects regarding the functional and basis set depending on the computational task at hand (structure optimization, reaction energy calculations, etc.); and thirdly, by applying all steps to some representative examples to illustrate the recommended protocols and effect of methodological choices.

https://chemrxiv.org/engage/chemrxiv/article-details/625eb9c9742e9f89b7639c5b
6👍2
Live Webinar: COVID Moonshot - Collaborative Antiviral Discovery

COVID Moonshot - A Collaborative Approach to Antiviral Discovery
Thursday, June 9 at 9:00 am PT, 12:00 pm ET and 17:00 BST

In the early days of the COVID-19 pandemic, a group of scientists hailing from academic and industrial organizations around the world came together with the ambitious goal of discovering an antiviral against the virus. Two years later, the COVID Moonshot consortium has identified multiple compounds to be entered into preclinical trial.

Join this webinar to hear behind-the-scene stories of COVID Moonshot and learn how this non-profit, open-science project was able to achieve significant results with limited resources.

Speakers: Monalisa Chatterji, PhD (Sekkei Bio Pvt. Ltd.), Ed Griffen, PhD
(MedChemica Ltd.) and Annette von Delft, MD, PhD (University of Oxford)

https://info.collaborativedrug.com/2022-q2-scientific-webinar
👍1
Psi4 is an open-source first-class computational chemistry package that is built with Python bindings. The great part is that it can even work from the Jupyter Notebook. Here is a way for you to run Psi4 using the free Google Colab (yes, that gives you a lot of computational power for free!):

https://colab.research.google.com/drive/1Z5DWnToMWiKIM9k8fi3ux-GtrWYlQ5nw?usp=sharing