15 citations · 22 across the 5 of their papers we have counts for
7 papers
Atomic Insights into the Oxidative Degradation Mechanisms of Sulfide Solid Electrolytes
Chuntian Cao, Matthew R. Carbone, Cem Komurcuoglu +15
Electrochemical degradation of solid electrolytes is a major roadblock in the development of solid-state batteries, and the formed solid-solid interphase (SSI) plays a key role in…
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats
Wei Chen, Yihui Ren, Ai Kagawa +9
Fast screening of drug molecules based on the ligand binding affinity is an important step in the drug discovery pipeline. Graph neural fingerprint is a promising method for develo…
Emulating Expert Insight: A Robust Strategy for Optimal Experimental Design
Matthew R. Carbone, Hyeong Jin Kim, Chandima Fernando +7
The challenge of optimal design of experiments (DOE) pervades materials science, physics, chemistry, and biology. Bayesian optimization has been used to address this challenge in v…
Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes
Haoyue Guo, Matthew R. Carbone, Chuntian Cao +9
X-ray absorption spectroscopy (XAS) is a premier technique for materials characterization, providing key information about the local chemical environment of the absorber atom. In t…
Self-driving Multimodal Studies at User Facilities
Phillip M. Maffettone, Daniel B. Allan, Stuart I. Campbell +11
Multimodal characterization is commonly required for understanding materials. User facilities possess the infrastructure to perform these measurements, albeit in serial over days t…
Machine-learning the spectral function of a hole in a quantum antiferromagnet
Jackson Lee, Matthew R. Carbone, Weiguo Yin
Understanding charge motion in a background of interacting quantum spins is a fundamental problem in quantum many-body physics. The most extensively studied model for this problem…