187 citations · 187 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2020
Topological Descriptors Help Predict Guest Adsorption in Nanoporous Materials
Aditi S. Krishnapriyan, Maciej Haranczyk, Dmitriy Morozov
Machine learning has emerged as an attractive alternative to experiments and simulations for predicting material properties. Usually, such an approach relies on specific domain kno…
cond-mat.mtrl-sci2016★ 187 cited
PyCDT: A Python toolkit for modeling point defects in semiconductors and insulators
Danny Broberg, Bharat Medasani, Nils Zimmermann +4
Point defects have a strong impact on the performance of semiconductor and insulator materials used in technological applications, spanning microelectronics to energy conversion an…