56 citations · 58 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2022★ 56 cited
Real-time 3D analysis during electron tomography using tomviz
Jonathan Schwartz, Chris Harris, Jacob Pietryga +13
The demand for high-throughput electron tomography is rapidly increasing in biological and material sciences. However, this 3D imaging technique is computationally bottlenecked by…
cond-mat.mtrl-sci2019
Predicting Superhard Materials via a Machine Learning Informed Evolutionary Structure Search
Patrick Avery, Xiaoyu Wang, Davide M. Proserpio +5
Good agreement was found between experimental Vickers hardnesses, , of a wide range of materials and those calculated by three macroscopic hardness models that employ t…
cond-mat.supr-con2015★ 2 cited
Decomposition Products of Phosphine Under Pressure: PH2 Stable and Superconducting?
Andrew Shamp, Tyson Terpstra, Tiange Bi +3
Evolutionary algorithms (EA) coupled with Density Functional Theory (DFT) calculations have been used to predict the most stable hydrides of phosphorous (PHn, n = 1-6) at 100, 150…