Best‐practice DFT protocols for basic molecular computational chemistry
Nowadays, many chemical investigations are supported by routine calculations of molecular
structures, reaction energies, barrier heights, and spectroscopic properties. The lion's share …
structures, reaction energies, barrier heights, and spectroscopic properties. The lion's share …
[HTML][HTML] DFT exchange: sharing perspectives on the workhorse of quantum chemistry and materials science
In this paper, the history, present status, and future of density-functional theory (DFT) is
informally reviewed and discussed by 70 workers in the field, including molecular scientists …
informally reviewed and discussed by 70 workers in the field, including molecular scientists …
Robust and efficient implicit solvation model for fast semiempirical methods
We present a robust and efficient method to implicitly account for solvation effects in modern
semiempirical quantum mechanics and force fields. A computationally efficient yet accurate …
semiempirical quantum mechanics and force fields. A computationally efficient yet accurate …
Late-stage diversification of indole skeletons through nitrogen atom insertion
Compared with peripheral late-stage transformations mainly focusing on carbon–hydrogen
functionalizations, reliable strategies to directly edit the core skeleton of pharmaceutical lead …
functionalizations, reliable strategies to directly edit the core skeleton of pharmaceutical lead …
[HTML][HTML] GEOM, energy-annotated molecular conformations for property prediction and molecular generation
S Axelrod, R Gomez-Bombarelli - Scientific Data, 2022 - nature.com
Abstract Machine learning (ML) outperforms traditional approaches in many molecular
design tasks. ML models usually predict molecular properties from a 2D chemical graph or a …
design tasks. ML models usually predict molecular properties from a 2D chemical graph or a …
Automated molecular cluster growing for explicit solvation by efficient force field and tight binding methods
An automated and broadly applicable workflow for the description of solvation effects in an
explicit manner is introduced. This method, termed quantum cluster growth (QCG), is based …
explicit manner is introduced. This method, termed quantum cluster growth (QCG), is based …
ωB97X-3c: A composite range-separated hybrid DFT method with a molecule-optimized polarized valence double-ζ basis set
A new composite density functional theory (DFT) method is presented. It is based on ωB97X-
V as one of the best-performing density functionals for the GMTKN55 thermochemistry …
V as one of the best-performing density functionals for the GMTKN55 thermochemistry …
Computation of CCSD (T)-quality NMR chemical shifts via Δ-machine learning from DFT
JB Kleine Büning, S Grimme - Journal of Chemical Theory and …, 2023 - ACS Publications
NMR spectroscopy undoubtedly plays a central role in determining molecular structures
across different chemical disciplines, and the accurate computational prediction of NMR …
across different chemical disciplines, and the accurate computational prediction of NMR …
Automated and efficient generation of general molecular aggregate structures
C Plett, S Grimme - Angewandte Chemie International Edition, 2023 - Wiley Online Library
Modeling intermolecular interactions of complex non‐covalent structures is important in
many areas of chemistry. To facilitate the generation of reasonable dimer, oligomer, and …
many areas of chemistry. To facilitate the generation of reasonable dimer, oligomer, and …
[HTML][HTML] 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 in Pracht et …
automated exploration of molecular chemical space. Originally developed in Pracht et …