Computational and Quantum Chemistry – Telegram
Computational and Quantum Chemistry
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A group dedicated to everything about theoretical and computational/quantum chemistry.
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CP2K v2023.2 is available

The second CP2K release of the year is available bringing several new features for PBC computational chemistry:
* GW: Periodic open-shell and Splitting of electronic states due to spin-orbit coupling (#2639, #2831)
* GTH pseudopotential database file with spin-orbit coupling (SOC) parameters added (#2848)
* RTP: TD Field Velocity gauge and projection TD-MOs (#2623, #2744)
* RTP: Linear density delta kick and restart (#2543)
* RTP: Enabled ADMM with GAPW (#2729)
* Implementation of the NVPT for APTs and AATs in velocity form (#2568, #2561)
* Intrinsic Atomic Orbitals (#2707)
* Machine Learning: Add PyTorch interface, Nequip and Allegro models (#2420, #2528, #2722)
* k-points: Implementation of the DIIS/Diag. solver (#2721)
* TDDFPT: SOC absorption (#2859)
* GAPW triplet excitation energies and forces (#2837, #2861)
* EC: Enable DC-DFT with HFX-ADMM for reference and DC calculation (#2780)
* Add cell symmetry HEXAGONAL_GAMMA_120 (#2758)
* Grid: Rename backends, change default to CPU (#2772, #2775, #2778)
* Grid: Enable GPU acceleration for large basis sets (#2787, #2793)
* FM: Add experimental support for NVIDIA cuSOLVERMp (#2860)
* Regtesting: Add --smoketest option (#2501)
* Add support for MPI Fortran 2008 bindings (#2486)
* Add support for Apptainer/Singularity containers (README)

https://github.com/cp2k/cp2k/releases/tag/v2023.2
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(OPEN ACCESS) - Roadmap on electronic structure codes in the exascale era

Exascale computing promises to provide immense computing power for electronic structure calculations— but are current codes prepared to take full advantage of the benefits? This paper provides an overview of 14 electronic structure software packages: where they are now, where they plan to be in five years, and how they plan to adapt to the challenges and reap the rewards of new exascale computing infrastructure.

https://iopscience.iop.org/article/10.1088/1361-651X/acdf06
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