activity
20132026
most citedLow Hole Effective Mass p-type Transparent Conducting Oxides: Identification and Design Principles

644 citations · 3k across the 76 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cond-mat.mtrl-sci2020★ 23 cited

Ferroelectricity and multiferroicity in anti-Ruddlesden-Popper structures

Maxime Markov, Louis Alaerts, Henrique P. C. Miranda +7

Combining ferroelectricity with other properties such as visible light absorption or long-range magnetic order requires the discovery of new families of ferroelectric materials. He…

cond-mat.mtrl-sci2020★ 3 cited

Visualizing Temperature-Dependent Phase Stability in High Entropy Alloys

Daniel Evans, Jiadong Chen, Geoffroy Hautier +1

High Entropy Alloys (HEAs) contain near equimolar amounts of five or more elements and are a compelling space for materials design. Great emphasis is placed on identifying HEAs tha…

cond-mat.mtrl-sci2020★ 40 cited

Structure motif centric learning framework for inorganic crystalline systems

Huta R. Banjade, Sandro Hauri, Shanshan Zhang +4

Incorporation of physical principles in a network-based machine learning (ML) architecture is a fundamental step toward the continued development of artificial intelligence for mat…

cond-mat.mtrl-sci2020★ 42 cited

Combining phonon accuracy with high transferability in Gaussian approximation potential models

Janine George, Geoffroy Hautier, Albert P. Bartók +2

Machine learning driven interatomic potentials, including Gaussian approximation potential (GAP) models, are emerging tools for atomistic simulations. Here, we address the methodol…

cond-mat.mtrl-sci2020★ 16 cited

Boron phosphide as a \emph{p}-type transparent conductor: optical absorption and transport through electron-phonon coupling

Viet-Anh Ha, Bora Karasulu, Ryo Maezono +5

Boron phosphide has recently been identified as a potential high hole mobility transparent conducting material. This promise arises from its low hole effective masses. However, BP…

cond-mat.mtrl-sci2020★ 109 cited

MODNet -- accurate and interpretable property predictions for limited materials datasets by feature selection and joint-learning

Pierre-Paul De Breuck, Geoffroy Hautier, Gian-Marco Rignanese

In order to make accurate predictions of material properties, current machine-learning approaches generally require large amounts of data, which are often not available in practice…

cond-mat.mtrl-sci2020★ 99 cited

Phonon-limited electron mobility in Si, GaAs and GaP with exact treatment of dynamical quadrupoles

Guillaume Brunin, Henrique Pereira Coutada Miranda, Matteo Giantomassi +6

We describe a new approach to compute the electron-phonon self-energy and carrier mobilities in semiconductors. Our implementation does not require a localized basis set to interpo…

cond-mat.mtrl-sci2020★ 113 cited

Electron-Phonon Beyond Fröhlich: Dynamical Quadrupoles in Polar and Covalent Solids

Guillaume Brunin, Henrique Pereira Coutada Miranda, Matteo Giantomassi +6

We include the treatment of quadrupolar fields beyond the Fröhlich interaction in the first-principles electron-phonon vertex in semiconductors. Such quadrupolar fields induce long…