ONLINE MOLECULAR MODELING PLATFORM AND RESOURCES FOR ATOMISTIC CALCULATIONS
https://atomistica.online/
https://atomistica.online/
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Full Interview with Niels Bohr
https://www.aip.org/history-programs/niels-bohr-library/oral-histories/4517-1
https://www.aip.org/history-programs/niels-bohr-library/oral-histories/4517-1
www.aip.org
Niels Bohr - Session I
Bohr:
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CP2K v2024.1 was released
# New Features
* Docs: Launch Sphinx-based manual
* TDDFPT: Pseudopotentials, GAPW, GPW, and forces
* RI-HFX for K-points (with gradients and ADMM)
* ADMM: input short cuts
* Long-range quantum computing (WF) in short-range DFT embedding
* Active space: Implement ERI calculation using half-transformed integrals
* GW: open-shell periodic GW
* G0W0/SOC: bandstructure, PDOS, local bandgap, periodic
* NNP: Helium-Solute for interaction
* Time-dependent Field for EMD
https://github.com/cp2k/cp2k/releases/tag/v2024.1
# New Features
* Docs: Launch Sphinx-based manual
* TDDFPT: Pseudopotentials, GAPW, GPW, and forces
* RI-HFX for K-points (with gradients and ADMM)
* ADMM: input short cuts
* Long-range quantum computing (WF) in short-range DFT embedding
* Active space: Implement ERI calculation using half-transformed integrals
* GW: open-shell periodic GW
* G0W0/SOC: bandstructure, PDOS, local bandgap, periodic
* NNP: Helium-Solute for interaction
* Time-dependent Field for EMD
https://github.com/cp2k/cp2k/releases/tag/v2024.1
GitHub
Release CP2K v2024.1 · cp2k/cp2k
New Features
Docs: Launch Sphinx-based manual (#2883)
TDDFPT: Pseudopotentials, GAPW, GPW, and forces (#2895, #2932 , #2940, #3011, #3110, #3122)
RI-HFX for K-points (with gradients and ADMM) (#...
Docs: Launch Sphinx-based manual (#2883)
TDDFPT: Pseudopotentials, GAPW, GPW, and forces (#2895, #2932 , #2940, #3011, #3110, #3122)
RI-HFX for K-points (with gradients and ADMM) (#...
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🌟 Exciting News! Join the 10th Virtual Winter School for Computational Chemistry, Jan 29 - Feb 2, 2024. Explore computational and theoretical chemistry with global experts. Featuring top speakers, engaging workshops, and networking for early-career scientists. Free registration! A must-attend for anyone interested in #CompChem. Join us: https://winterschool.cc/ #VWSCC 📚
winterschool.cc
Virtual Winter School on Computational Chemistry - Home
Online congress discussing state of the art computational chemistry
Forwarded from Computational and Quantum Chemistry
🌟 Exciting News! Join the 10th Virtual Winter School for Computational Chemistry, Jan 29 - Feb 2, 2024. Explore computational and theoretical chemistry with global experts. Featuring top speakers, engaging workshops, and networking for early-career scientists. Free registration! A must-attend for anyone interested in #CompChem. Join us: https://winterschool.cc/ #VWSCC 📚
winterschool.cc
Virtual Winter School on Computational Chemistry - Home
Online congress discussing state of the art computational chemistry
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New simulation tool advances molecular modeling of biomolecular condensates
https://phys.org/news/2024-01-simulation-tool-advances-molecular-biomolecular.html
https://phys.org/news/2024-01-simulation-tool-advances-molecular-biomolecular.html
phys.org
New simulation tool advances molecular modeling of biomolecular condensates
A University of Massachusetts Amherst team has made a major advance toward modeling and understanding how intrinsically disordered proteins (IDPs) undergo spontaneous phase separation, an important mechanism ...
Machine Learning Machinery for Quantum Chemistry | by Nicolas Renaud | Dec, 2023 | Netherlands eScience Center
https://blog.esciencecenter.nl/machine-learning-machinery-for-quantum-chemistry-e6c497368e7d
https://blog.esciencecenter.nl/machine-learning-machinery-for-quantum-chemistry-e6c497368e7d
Medium
Machine Learning Machinery for Quantum Chemistry
Machine learning techniques are impacting all areas of science, and molecular simulations are not spared. This blog post shows how to make…
Basis sets in computational chemistry are crucial for constructing molecular orbitals. What is an intriguing property of 'diffuse functions' when included in basis sets for molecular calculations?
Anonymous Quiz
25%
Enables precise modeling of electron delocalization in π-systems, crucial for aromatic compounds.
7%
Simulates electron-positron pair production, essential in relativistic quantum chemistry studies.
53%
Enhances denoscriptions of anions and weakly bound systems by extending electron density analysis.
10%
Facilitates spin-orbit coupling calculations, vital for chemistry involving heavy elements.
5%
Introduces time-dependent dynamics to basis sets for real-time electron movement simulations.
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dral_et_al_2024_mlatom_3_a_platform_for_machine_learning_enhanced.pdf
10.6 MB
Here is the paper to accompany it.
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