54 citations · 110 across the 6 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cond-mat.mtrl-sci2023★ 3 cited
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling
Ji Qi, Tsz Wai Ko, Brandon C. Wood +2
Machine learning interatomic potentials (MLIPs) enable the accurate simulation of materials at larger sizes and time scales, and play increasingly important roles in the computatio…
cond-mat.mtrl-sci2023★ 18 cited
Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances
Daniel Schwalbe-Koda, Daniel E. Widdowson, Tuan Anh Pham +1
Zeolites are inorganic materials known for their diversity of applications, synthesis conditions, and resulting polymorphs. Although their synthesis is controlled both by inorganic…