activity
20132024
most citedA recommendation engine for suggesting unexpected thermoelectric chemistries

226 citations · 414 across the 16 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

10 papers · 1 filter

cond-mat.mtrl-sci2024

Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials

Federico Ottomano, John Y. Goulermas, Vladimir Gusev +14

Machine Learning (ML) has offered innovative perspectives for accelerating the discovery of new functional materials, leveraging the increasing availability of material databases.…

cond-mat.mtrl-sci2023

Inferring energy-composition relationships with Bayesian optimization enhances exploration of inorganic materials

Andrij Vasylenko, Benjamin Asher, Chris C. Collins +4

Computational exploration of the compositional spaces of materials can provide guidance for synthetic research and thus accelerate the discovery of novel materials. Most approaches…

cond-mat.mtrl-sci2023

Epitaxial growth, optical and electrical conductivity of the metallic pyrochlore BiRuO on Y-stabilized ZrO substrate

Marita O'Sullivan, Jonathan Alaria, Mike W. Gaultois +3

We report on the epitaxial growth, structural and electrical properties of metallic pyrochlore bismuth ruthenate heterostructures grown along both the [001] and [111] directions. O…

cond-mat.mtrl-sci2022

Site-Net: Using global self-attention and real-space supercells to capture long-range interactions in crystal structures

Michael Moran, Michael W. Gaultois, Vladimir V. Gusev +1

Site-Net is a transformer architecture that models the periodic crystal structures of inorganic materials as a labelled point set of atoms and relies entirely on global self-attent…

cond-mat.mtrl-sci2022

Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties

Andrij Vasylenko, Dmytro Antypov, Vladimir Gusev +3

Fundamental differences between materials originate from the unique nature of their constituent chemical elements. Before specific differences emerge according to the precise ratio…

cond-mat.mtrl-sci2021★ 2 cited

Sb-5s lone pair dynamics and collinear magnetic ordering in Ba2FeSbSe5

Stefan Maier, Michael W. Gaultois, Nami Matsubara +6

Neutron diffraction and X-ray pair distribution function (XPDF) experiments were performed in order to investigate the magnetic and local crystal structures of Ba2FeSbSe5 and to co…