activity
20082021
most citedMachine learning modeling of superconducting critical temperature

448 citations · 1.8k across the 31 of their papers we have counts for

collaborators

31 papers

hep-th2021

First Law for Kerr Taub-NUT AdS Black Holes

Nelson Hernández Rodríguez, Maria J. Rodriguez

The first law of black hole mechanics, which relates the change of energy to the change of entropy and other conserved charges, has been the main motivation for probing the thermod…

cond-mat.supr-con2021★ 223 cited

Towards high-throughput superconductor discovery via machine learning

Stephen R. Xie, Y. Quan, Ajinkya Hire +5

Even though superconductivity has been studied intensively for more than a century, the vast majority of superconductivity research today is carried out in nearly the same manner a…

cond-mat.mtrl-sci2020★ 41 cited

CRYSPNet: Crystal Structure Predictions via Neural Network

Haotong Liang, Valentin Stanev, A. Gilad Kusne +1

Structure is the most basic and important property of crystalline solids; it determines directly or indirectly most materials characteristics. However, predicting crystal structure…

cond-mat.supr-con2019★ 26 cited

Recent advances in high-throughput superconductivity research

J. Yuan, V. Stanev, C. Gao +2

Superconducting materials find applications in a rapidly growing number of technological areas, and searching for novel superconductors continues to be a major scientific task. How…

cond-mat.mtrl-sci2019★ 1 cited

Materials development by interpretable machine learning

Yuma Iwasaki, Ryoto Sawada, Valentin Stanev +7

Machine learning technologies are expected to be great tools for scientific discoveries. In particular, materials development (which has brought a lot of innovation by finding new…

cond-mat.supr-con2018★ 7 cited

High-throughput investigation of tunable superconductivity in FeSe films

Zhongpei Feng, Jie Yuan, Jun Li +19

There is an ongoing debate about the relative importance of structural change versus doping charge carriers on the mechanism of superconductivity in Fe-based materials. Elucidating…