First-principles phonon calculations with phonopy and phono3py
A Togo - Journal of the Physical Society of Japan, 2023 - journals.jps.jp
Harmonic, quasi-harmonic, and anharmonic phonon properties of crystals are getting to be
better predicted using first-principles phonon calculations by virtue of the progress of the …
better predicted using first-principles phonon calculations by virtue of the progress of the …
Computational discovery of transition-metal complexes: from high-throughput screening to machine learning
Transition-metal complexes are attractive targets for the design of catalysts and functional
materials. The behavior of the metal–organic bond, while very tunable for achieving target …
materials. The behavior of the metal–organic bond, while very tunable for achieving target …
A universal graph deep learning interatomic potential for the periodic table
Interatomic potentials (IAPs), which describe the potential energy surface of atoms, are a
fundamental input for atomistic simulations. However, existing IAPs are either fitted to narrow …
fundamental input for atomistic simulations. However, existing IAPs are either fitted to narrow …
Quantum ESPRESSO toward the exascale
Q uantum ESPRESSO is an open-source distribution of computer codes for quantum-
mechanical materials modeling, based on density-functional theory, pseudopotentials, and …
mechanical materials modeling, based on density-functional theory, pseudopotentials, and …
CO2 Capture at Medium to High Temperature Using Solid Oxide-Based Sorbents: Fundamental Aspects, Mechanistic Insights, and Recent Advances
Carbon dioxide capture and mitigation form a key part of the technological response to
combat climate change and reduce CO2 emissions. Solid materials capable of reversibly …
combat climate change and reduce CO2 emissions. Solid materials capable of reversibly …
Wannier90 as a community code: new features and applications
W annier90 is an open-source computer program for calculating maximally-localised
Wannier functions (MLWFs) from a set of Bloch states. It is interfaced to many widely used …
Wannier functions (MLWFs) from a set of Bloch states. It is interfaced to many widely used …
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 …
The role of machine learning in the understanding and design of materials
Developing algorithmic approaches for the rational design and discovery of materials can
enable us to systematically find novel materials, which can have huge technological and …
enable us to systematically find novel materials, which can have huge technological and …
Data‐driven materials science: status, challenges, and perspectives
Data‐driven science is heralded as a new paradigm in materials science. In this field, data is
the new resource, and knowledge is extracted from materials datasets that are too big or …
the new resource, and knowledge is extracted from materials datasets that are too big or …
A critical review of machine learning of energy materials
Abstract Machine learning (ML) is rapidly revolutionizing many fields and is starting to
change landscapes for physics and chemistry. With its ability to solve complex tasks …
change landscapes for physics and chemistry. With its ability to solve complex tasks …