105 citations · 106 across the 4 of their papers we have counts for
4 papers
High-throughput study of electrical conductivity in ordered metals
Thalis H. B. da Silva, Hai-Chen Wang, Tiago F. T. Cerqueira +3
We present a computational framework that integrates machine learning with high-throughput ab initio calculations to screen over 2.8 million compounds for metallic transport. We id…
Searching Materials Space for Hydride Superconductors at Ambient Pressure
Tiago F. T. Cerqueira, Yue-Wen Fang, Ion Errea +2
We employed a machine-learning assisted approach to search for superconducting hydrides under ambient pressure within an extensive dataset comprising over 150 000 compounds. Our in…
Two-Dimensional Noble Metal Chalcogenides in the Frustrated Snub-Square Lattice
Hai-Chen Wang, Ahmad W. Huran, Miguel A. L. Marques +4
We study two-dimensional noble metal chalcogenides, with composition {Cu, Ag, Au}2{S, Se, Te}, crystallizing in a snub-square lattice. This is a semi-regular two-dimensional tessel…
Prediction of Ambient Pressure Conventional Superconductivity above 80K in Thermodynamically Stable Hydride Compounds
Antonio Sanna, Tiago F. T. Cerqueira, Yue-Wen Fang +3
The primary challenge in the field of high-temperature superconductivity in hydrides is to achieve a superconducting state at ambient pressure rather than the extreme pressures tha…