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 …
CRYSTAL23: A program for computational solid state physics and chemistry
The Crystal program for quantum-mechanical simulations of materials has been bridging the
realm of molecular quantum chemistry to the realm of solid state physics for many years …
realm of molecular quantum chemistry to the realm of solid state physics for many years …
Scaling deep learning for materials discovery
Novel functional materials enable fundamental breakthroughs across technological
applications from clean energy to information processing,,,,,,,,,–. From microchips to batteries …
applications from clean energy to information processing,,,,,,,,,–. From microchips to batteries …
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling
Large-scale simulations with complex electron interactions remain one of the greatest
challenges for atomistic modelling. Although classical force fields often fail to describe the …
challenges for atomistic modelling. Although classical force fields often fail to describe the …
r2SCAN-3c: A “Swiss army knife” composite electronic-structure method
The recently proposed r 2 SCAN meta-generalized-gradient approximation (mGGA) of
Furness and co-workers is used to construct an efficient composite electronic-structure …
Furness and co-workers is used to construct an efficient composite electronic-structure …
Orbital-free density functional theory: An attractive electronic structure method for large-scale first-principles simulations
Kohn–Sham Density Functional Theory (KSDFT) is the most widely used electronic structure
method in chemistry, physics, and materials science, with thousands of calculations cited …
method in chemistry, physics, and materials science, with thousands of calculations cited …
Delocalization error: The greatest outstanding challenge in density‐functional theory
Every day, density‐functional theory (DFT) is routinely applied to computational modeling of
molecules and materials with the expectation of high accuracy. However, in certain …
molecules and materials with the expectation of high accuracy. However, in certain …
Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
Assessing density functional theory for chemically relevant open-shell transition metal reactions
Due to the principle lack of systematic improvement possibilities of density functional theory,
careful assessment of the performance of density functional approximations (DFAs) on well …
careful assessment of the performance of density functional approximations (DFAs) on well …
The predictive power of exact constraints and appropriate norms in density functional theory
Ground-state Kohn-Sham density functional theory provides, in principle, the exact ground-
state energy and electronic spin densities of real interacting electrons in a static external …
state energy and electronic spin densities of real interacting electrons in a static external …