* CREST 3.0 IS AVAILABLE! *
CREST 3.0 is a major overhaul of the previous code versions. A large part of the original source code was rewritten to implement calculators, optimization, and molecular dynamics routines directly, rather than relying only on the xtb program as a subprocess.
Consequently, there are performance improvements and a significant reduction of I/O operations.
Features include:
* Major code refactoring
* New input file reader
* Energy- and gradient-based interface for calculations
* Standalone ANCOPT implementation (RF optimizer with BFGS update step in approximate normal coordinates)
* Standalone MD and metadynamics module
* Standalone implementation of geometrical constraints
* New minimum energy crossing point (MECP) algorithm (see JCTC, 2022, 18 (10), 6370-6385.)
* Integration of the tblite submodule
* Integration of a GFN0-xTB submodule (see J. Phys. Chem. Lett. 2023, 14, 19, 4440–4448)
* Integration of the TOML-F parser
* Integration of a GFN-FF submodule
* Implementation of a multi-layered multi-center ONIOM calculator (see J. Phys. Chem. B 2024, 128, 13, 3145–3156, @paw61)
* Proper unit tests for the CMake build
* MSREACT mode (@gorges97)
* Implementation of X-HCFF (@zellerf)
* Effective Hessian calculator (@GereonFeldmann)
* and more ...
📄 READ the paper:
https://pubs.aip.org/aip/jcp/article/160/11/114110/3278084/CREST-A-program-for-the-exploration-of-low-energy
💻 get the code here:
https://github.com/crest-lab/crest/releases/tag/v3.0
CREST 3.0 is a major overhaul of the previous code versions. A large part of the original source code was rewritten to implement calculators, optimization, and molecular dynamics routines directly, rather than relying only on the xtb program as a subprocess.
Consequently, there are performance improvements and a significant reduction of I/O operations.
Features include:
* Major code refactoring
* New input file reader
* Energy- and gradient-based interface for calculations
* Standalone ANCOPT implementation (RF optimizer with BFGS update step in approximate normal coordinates)
* Standalone MD and metadynamics module
* Standalone implementation of geometrical constraints
* New minimum energy crossing point (MECP) algorithm (see JCTC, 2022, 18 (10), 6370-6385.)
* Integration of the tblite submodule
* Integration of a GFN0-xTB submodule (see J. Phys. Chem. Lett. 2023, 14, 19, 4440–4448)
* Integration of the TOML-F parser
* Integration of a GFN-FF submodule
* Implementation of a multi-layered multi-center ONIOM calculator (see J. Phys. Chem. B 2024, 128, 13, 3145–3156, @paw61)
* Proper unit tests for the CMake build
* MSREACT mode (@gorges97)
* Implementation of X-HCFF (@zellerf)
* Effective Hessian calculator (@GereonFeldmann)
* and more ...
📄 READ the paper:
https://pubs.aip.org/aip/jcp/article/160/11/114110/3278084/CREST-A-program-for-the-exploration-of-low-energy
💻 get the code here:
https://github.com/crest-lab/crest/releases/tag/v3.0
AIP Publishing
CREST—A program for the exploration of low-energy molecular chemical space
Conformer–rotamer sampling tool (CREST) is an open-source program for the efficient and automated exploration of molecular chemical space. Originally developed
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Hello 👋, thank you for being part of this group.
We have noticed an increase in spammers and users posting unrelated, and sometimes offensive, comments and content 🚫. This group has active moderation and we try to act as fast as possible. Please be aware that users who do not comply with the rules may be banned without warning ⚠️.
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We have noticed an increase in spammers and users posting unrelated, and sometimes offensive, comments and content 🚫. This group has active moderation and we try to act as fast as possible. Please be aware that users who do not comply with the rules may be banned without warning ⚠️.
Remember to write in English 📝, stay on topic 🔍, and be respectful to your colleagues 🤝.
Have fun! 🎉
👍22👏3
Electron videography captures moving dance between proteins and lipids
https://phys.org/news/2024-04-electron-videography-captures-proteins-lipids.html
https://phys.org/news/2024-04-electron-videography-captures-proteins-lipids.html
phys.org
Electron videography captures moving dance between proteins and lipids
In a first demonstration of "electron videography," researchers have captured a microscopic moving picture of the delicate dance between proteins and lipids found in cell membranes. The technique can ...
Researchers detect a new molecule in space https://phys.org/news/2024-04-molecule-space.html
phys.org
Researchers detect a new molecule in space
New research from the group of MIT Professor Brett McGuire has revealed the presence of a previously unknown molecule in space. The team's open-access paper, "Rotational Spectrum and First Interstellar ...
Recruiting another post-doc in Massimiliano Arca's group: https://dirpersonale.unica.it/concorsi/UserFiles/Files/ASSEGNI_2024/ARCA_MASSIMILIANO_COD_36A/Bando_Inglese_Arca.pdf
Thirty years of density functional theory in computational chemistry: an overview and extensive assessment of 200 density functionals
https://www.tandfonline.com/doi/full/10.1080/00268976.2017.1333644
https://www.tandfonline.com/doi/full/10.1080/00268976.2017.1333644
Taylor & Francis
Thirty years of density functional theory in computational chemistry: an overview and extensive assessment of 200 density functionals
In the past 30 years, Kohn–Sham density functional theory has emerged as the most popular electronic structure method in computational chemistry. To assess the ever-increasing number of approximate...
Open Access
This paper is from 2009, but still very relevant:
https://link.springer.com/article/10.1007/s11120-009-9404-8
This paper is from 2009, but still very relevant:
https://link.springer.com/article/10.1007/s11120-009-9404-8
SpringerLink
Density functional theory
Photosynthesis Research - Density functional theory (DFT) finds increasing use in applications related to biological systems. Advancements in methodology and implementations have reached a point...
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What unique approach did the development of the ωB97M-V density functional utilize to optimize its parameters for quantum chemistry applications?
Anonymous Quiz
15%
It employed a genetic algorithm for parameter selection.
20%
It relied on a combinatorial optimization from over 10¹⁰ fits.
17%
It used a singular value decomposition for stability.
25%
It was the first to incorporate machine learning techniques.
23%
It integrated an exclusively empirical parameter fitting.
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