First-principles models for van der Waals interactions in molecules and materials: Concepts, theory, and applications

J Hermann, RA DiStasio Jr, A Tkatchenko - Chemical Reviews, 2017 - ACS Publications
… theory predicts the vdW interaction energy to be proportional to R AB –6 (to leading order).
Only recently have more advanced theoretical models been developed which go beyond this …

Predicting binding free energies: frontiers and benchmarks

DL Mobley, MK Gilson - Annual review of biophysics, 2017 - annualreviews.org
… , we could use simulations in various health-related applications, such as the prediction of
biomolecular interaction networks in support of systems biology or the rapid design of new …

Noncovalent interactions in density functional theory

GA DiLabio, A Otero‐de‐la‐Roza - Reviews in computational …, 2016 - Wiley Online Library
… FIgure 1 Mean absolute percent errors in the predicted binding energies of noncovalently
interacting dimers using various DFT methods for different types on interactions. The data and …

[HTML][HTML] Study of self-interaction errors in density functional predictions of dipole polarizabilities and ionization energies of water clusters using Perdew–Zunger and …

S Akter, Y Yamamoto, CM Diaz, KA Jackson… - The Journal of …, 2020 - pubs.aip.org
… local-scaling self-interaction correction 45 (LSIC) method for the prediction of dipoles and …
factor based on the local character of the charge density to scale down the energy densities of …

Fast and accurate molecular property prediction: learning atomic interactions and potentials with neural networks

M Tsubaki, T Mizoguchi - The journal of physical chemistry letters, 2018 - ACS Publications
… , we believe that the stable performance for atomization energy is valid, because each
atom … to the electronic structure compared to the atomization energy. As a result, we need to …

[HTML][HTML] Polarizable charge equilibration model for predicting accurate electrostatic interactions in molecules and solids

S Naserifar, DJ Brooks, WA Goddard… - The Journal of chemical …, 2017 - pubs.aip.org
… polarization underlying the electrostatic interactions. Here the … We validate PQEq by comparing
to QM interaction energy as … We find that PQEq predicts interaction energies in excellent …

Nuclear binding energy predictions based on BP neural network

BB Jiao - International Journal of Modern Physics E, 2020 - World Scientific
… of many models, so we study the residual interaction of nuclei with A ≥ 100 based on BP …
We describe and predict residual interactions based on the descriptive and predictive …

Band nn: A deep learning framework for energy prediction and geometry optimization of organic small molecules

S Laghuvarapu, Y Pathak… - Journal of computational …, 2020 - Wiley Online Library
… A molecule is broken down into these terms, and energy … sum of energies from each of the
terms gives the total energy of … our model can predict energies and potential energy surfaces …

Learning atomic interactions through solvation free energy prediction using graph neural networks

Y Pathak, S Mehta, UD Priyakumar - Journal of Chemical …, 2021 - ACS Publications
… learning method based on graph networks to accurately predict solvation free energies of
small … , namely, message passing, interaction, and prediction, is able to predict solvation free …

Predicting dexter energy transfer interactions from molecular orbital overlaps

S Bai, P Zhang, DN Beratan - The Journal of Physical Chemistry C, 2020 - ACS Publications
… Our study places these earlier findings into context by describing DET interactions … from
both 1p and 2p interactions. κ is determined by the terms C mo , CT state energies E D + A – and …