most citedMachine-learning approach for discovery of conventional superconductors

27 citations · 35 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.supr-con2022★ 27 cited

Machine-learning approach for discovery of conventional superconductors

Huan Tran, Tuoc N. Vu

First-principles computations are the driving force behind numerous discoveries of hydride-based superconductors, mostly at high pressures, during the last decade. Machine-learning…

cond-mat.mtrl-sci2021★ 8 cited

Probabilistic deep learning approach for targeted hybrid organic-inorganic perovskites

Vu Ngoc Tuoc, Nga T. T. Nguyen, Vinit Sharma +1

We develop a probabilistic machine learning model and use it to screen for new hybrid organic-inorganic perovskites (HOIPs) with targeted electronic band gap. The data set used for…