Advances in thermoelectrics
Thermoelectric generators, capable of directly converting heat into electricity, hold great
promise for tackling the ever-increasing energy sustainability issue. The thermoelectric …
promise for tackling the ever-increasing energy sustainability issue. The thermoelectric …
Machine learning interatomic potentials as emerging tools for materials science
Atomic‐scale modeling and understanding of materials have made remarkable progress,
but they are still fundamentally limited by the large computational cost of explicit electronic …
but they are still fundamentally limited by the large computational cost of explicit electronic …
The thermodynamic scale of inorganic crystalline metastability
The space of metastable materials offers promising new design opportunities for next-
generation technological materials, such as complex oxides, semiconductors …
generation technological materials, such as complex oxides, semiconductors …
Discovery of TaFeSb-based half-Heuslers with high thermoelectric performance
Discovery of thermoelectric materials has long been realized by the Edisonian trial and error
approach. However, recent progress in theoretical calculations, including the ability to …
approach. However, recent progress in theoretical calculations, including the ability to …
Discovery of new materials using combinatorial synthesis and high-throughput characterization of thin-film materials libraries combined with computational methods
A Ludwig - NPJ Computational Materials, 2019 - nature.com
This perspective provides an experimentalist's view on materials discovery in multinary
materials systems—from nanoparticles over thin films to bulk—based on combinatorial thin …
materials systems—from nanoparticles over thin films to bulk—based on combinatorial thin …
Crystal structure prediction via deep learning
We demonstrate the application of deep neural networks as a machine-learning tool for the
analysis of a large collection of crystallographic data contained in the crystal structure …
analysis of a large collection of crystallographic data contained in the crystal structure …
Prediction and accelerated laboratory discovery of previously unknown 18-electron ABX compounds
Chemists and material scientists have often focused on the properties of previously reported
compounds, but neglect numerous unreported but chemically plausible compounds that …
compounds, but neglect numerous unreported but chemically plausible compounds that …
Discovery of earth-abundant nitride semiconductors by computational screening and high-pressure synthesis
Y Hinuma, T Hatakeyama, Y Kumagai… - Nature …, 2016 - nature.com
Nitride semiconductors are attractive because they can be environmentally benign,
comprised of abundant elements and possess favourable electronic properties. However …
comprised of abundant elements and possess favourable electronic properties. However …
Design and exploration of semiconductors from first principles: A review of recent advances
Recent first-principles approaches to semiconductors are reviewed, with an emphasis on
theoretical insight into emerging materials and in silico exploration of as-yet-unreported …
theoretical insight into emerging materials and in silico exploration of as-yet-unreported …
Experimental synthesis of theoretically predicted multivalent ternary nitride materials
Multivalent ternary nitride materials, which combine two metal cations with a nitrogen anion
in equal amounts and charge balanced stoichiometry, tend to have relatively simple …
in equal amounts and charge balanced stoichiometry, tend to have relatively simple …