44 citations · 58 across the 4 of their papers we have counts for
4 papers
Graphlet Histogram Representation Database of Inorganic Crystals
Aaditya Panigrahi, Yanjun Liu, Omri Lesser +2
Machine learning models for materials property prediction increasingly rely on representations learned end-to-end from large density-functional-theory databases, limiting their app…
Materials Expert-Artificial Intelligence for Materials Discovery
Yanjun Liu, Milena Jovanovic, Krishnanand Mallayya +5
The advent of material databases provides an unprecedented opportunity to uncover predictive descriptors for emergent material properties from vast data space. However, common reli…
Machine learning reveals features of spinon Fermi surface
Kevin Zhang, Shi Feng, Yuri D. Lensky +2
With rapid progress in simulation of strongly interacting quantum Hamiltonians, the challenge in characterizing unknown phases becomes a bottleneck for scientific progress. We demo…
Machine learning discovery of new phases in programmable quantum simulator snapshots
Cole Miles, Rhine Samajdar, Sepehr Ebadi +7
Machine learning has recently emerged as a promising approach for studying complex phenomena characterized by rich datasets. In particular, data-centric approaches lend to the poss…