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The central role of density functional theory in the AI age
Density functional theory (DFT) plays a pivotal role in chemical and materials science
because of its relatively high predictive power, applicability, versatility, and computational …
because of its relatively high predictive power, applicability, versatility, and computational …
Accurate quantum Monte Carlo forces for machine-learned force fields: Ethanol as a benchmark
Quantum Monte Carlo (QMC) is a powerful method to calculate accurate energies and
forces for molecular systems. In this work, we demonstrate how we can obtain accurate QMC …
forces for molecular systems. In this work, we demonstrate how we can obtain accurate QMC …
Best-of-Both-Worlds Predictive Approach to Dissociative Chemisorption on Metals
AD Powell, N Gerrits, T Tchakoua… - The Journal of …, 2024 - ACS Publications
Predictive capability, accuracy, and affordability are essential features of a theory that is
capable of describing dissociative chemisorption on a metal surface. This type of reaction is …
capable of describing dissociative chemisorption on a metal surface. This type of reaction is …
Adapting hybrid density functionals with machine learning
Exact exchange contributions significantly affect electronic states, influencing covalent bond
formation and breaking. Hybrid density functional approximations, which average exact …
formation and breaking. Hybrid density functional approximations, which average exact …
Adaptive hybrid density functionals
Exact exchange contributions are known to crucially affect electronic states, which in turn
govern covalent bond formation and breaking in chemical species. Empirically averaging …
govern covalent bond formation and breaking in chemical species. Empirically averaging …
Toward Accurate Quantum Mechanical Thermochemistry:(1) Extensible Implementation and Comparison of Bond Additivity Corrections and Isodesmic Reactions
Obtaining accurate enthalpies of formation of chemical species, Δ H f, often requires
empirical corrections that connect the results of quantum mechanical (QM) calculations with …
empirical corrections that connect the results of quantum mechanical (QM) calculations with …
Quantum alchemy based bonding trends and their link to Hammett's equation and Pauling's electronegativity model
MJ Sahre, GF von Rudorff… - Journal of the American …, 2023 - ACS Publications
We present an intuitive and general analytical approximation estimating the energy of
covalent single and double bonds between participating atoms in terms of their respective …
covalent single and double bonds between participating atoms in terms of their respective …
[PDF][PDF] Towards comprehensive coverage of chemical space: Quantum mechanical properties of 836k constitutional and conformational closed shell neutral isomers …
D Khan, A Benali, SY Kim, GF von Rudorff… - arxiv preprint arxiv …, 2024 - researchgate.net
ABSTRACT The Vector-QM24 (VQM24) dataset attempts to more comprehensively cover all
possible neutral closed shell small organic and inorganic molecules and their conformers at …
possible neutral closed shell small organic and inorganic molecules and their conformers at …
Generalized convolutional many body distribution functional representations
D Khan, OA von Lilienfeld - arxiv preprint arxiv:2409.20471, 2024 - arxiv.org
Modern machine learning (ML) models of chemical and materials systems with billions of
parameters require vast training datasets and considerable computational efforts …
parameters require vast training datasets and considerable computational efforts …
Investigation of electronic and molecular features of Zn3S3/peg4000 nano-composite using the DFT method
M Hraja, A Al Hindawi, N Shiltagh - Journal of the Turkish Chemical …, 2024 - dergipark.org.tr
Molecular geometry structures were accurately optimized to low convergence energy
thresholds for the Zn3S3 cluster before and after adding Polyethylene Glycol (PEG4000) …
thresholds for the Zn3S3 cluster before and after adding Polyethylene Glycol (PEG4000) …