Phonon-limited electronic transport through first principles

R Claes, S Poncé, GM Rignanese, G Hautier - Nature Reviews Physics, 2025 - nature.com
Understanding electronic transport in materials is essential to both fundamental and applied
physics, as it directly influences critical properties such as the mobility of semiconductors …

[HTML][HTML] Roadmap on electronic structure codes in the exascale era

V Gavini, S Baroni, V Blum, DR Bowler… - … and Simulation in …, 2023 - iopscience.iop.org
Electronic structure calculations have been instrumental in providing many important
insights into a range of physical and chemical properties of various molecular and solid …

Anharmonicity in thermal insulators: An analysis from first principles

F Knoop, TAR Purcell, M Scheffler, C Carbogno - Physical Review Letters, 2023 - APS
The anharmonicity of atomic motion limits the thermal conductivity in crystalline solids.
However, a microscopic understanding of the mechanisms active in strong thermal …

Shared metadata for data-centric materials science

LM Ghiringhelli, C Baldauf, T Bereau, S Brockhauser… - Scientific Data, 2023 - nature.com
The expansive production of data in materials science, their widespread sharing and
repurposing requires educated support and stewardship. In order to ensure that this need …

A quantum-chemical bonding database for solid-state materials

AA Naik, C Ertural, N Dhamrait, P Benner, J George - Scientific Data, 2023 - nature.com
An in-depth insight into the chemistry and nature of the individual chemical bonds is
essential for understanding materials. Bonding analysis is thus expected to provide …

Accelerating materials-space exploration for thermal insulators by map** materials properties via artificial intelligence

TAR Purcell, M Scheffler, LM Ghiringhelli… - npj computational …, 2023 - nature.com
Reliable artificial-intelligence models have the potential to accelerate the discovery of
materials with optimal properties for various applications, including superconductivity …

Heat flux for semilocal machine-learning potentials

MF Langer, F Knoop, C Carbogno, M Scheffler, M Rupp - Physical Review B, 2023 - APS
The Green-Kubo (GK) method is a rigorous framework for heat transport simulations in
materials. However, it requires an accurate description of the potential-energy surface and …

Ab initio Green-Kubo simulations of heat transport in solids: Method and implementation

F Knoop, M Scheffler, C Carbogno - Physical Review B, 2023 - APS
Ab initio Green-Kubo (aiGK) simulations of heat transport in solids allow for assessing lattice
thermal conductivity in anharmonic or complex materials from first principles. In this work, we …

Interplay of structural fluctuations and charge carrier dynamics is key for high performance of hybrid lead halide perovskites

J Zhan, J Yang, X **e, OV Prezhdo, W Li - Inorganic Chemistry …, 2022 - pubs.rsc.org
The ability of methylammonium lead triiodide (MAPbI3) to achieve photoelectric conversion
efficiency that is on par with crystalline silicon has led to a surge of interest in perovskite …

Carrier mobility of strongly anharmonic materials from first principles

J Quan, C Carbogno, M Scheffler - Physical Review B, 2024 - APS
First-principles approaches for phonon-limited electronic transport are typically based on
many-body perturbation theory and transport equations. With that, they rely on the validity of …