Machine learning force fields
In recent years, the use of machine learning (ML) in computational chemistry has enabled
numerous advances previously out of reach due to the computational complexity of …
numerous advances previously out of reach due to the computational complexity of …
Machine learning in materials informatics: recent applications and prospects
Propelled partly by the Materials Genome Initiative, and partly by the algorithmic
developments and the resounding successes of data-driven efforts in other domains …
developments and the resounding successes of data-driven efforts in other domains …
[HTML][HTML] CP2K: An electronic structure and molecular dynamics software package-Quickstep: Efficient and accurate electronic structure calculations
CP2K is an open source electronic structure and molecular dynamics software package to
perform atomistic simulations of solid-state, liquid, molecular, and biological systems. It is …
perform atomistic simulations of solid-state, liquid, molecular, and biological systems. It is …
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 …
Recognition in the domain of molecular chirality: from noncovalent interactions to separation of enantiomers
It is not a coincidence that both chirality and noncovalent interactions are ubiquitous in
nature and synthetic molecular systems. Noncovalent interactivity between chiral molecules …
nature and synthetic molecular systems. Noncovalent interactivity between chiral molecules …
Eutectics: formation, properties, and applications
Various eutectic systems have been proposed and studied over the past few decades. Most
of the studies have focused on three typical types of eutectics: eutectic metals, eutectic salts …
of the studies have focused on three typical types of eutectics: eutectic metals, eutectic salts …
QUANTUM ESPRESSO: a modular and open-source software project for quantum simulations of materials
QUANTUM ESPRESSO is an integrated suite of computer codes for electronic-structure
calculations and materials modeling, based on density-functional theory, plane waves, and …
calculations and materials modeling, based on density-functional theory, plane waves, and …
From DFT to machine learning: recent approaches to materials science–a review
Recent advances in experimental and computational methods are increasing the quantity
and complexity of generated data. This massive amount of raw data needs to be stored and …
and complexity of generated data. This massive amount of raw data needs to be stored and …
Dispersion-corrected mean-field electronic structure methods
Mean-field electronic structure methods like Hartree–Fock, semilocal density functional
approximations, or semiempirical molecular orbital (MO) theories do not account for long …
approximations, or semiempirical molecular orbital (MO) theories do not account for long …
Quantum mechanical continuum solvation models
This review on continuum solvation models has been preceded in Chemical Reviews by
others addressing the same subject. They are due to Tomasi and Persico1 (published in …
others addressing the same subject. They are due to Tomasi and Persico1 (published in …