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20192026
most citedMachine Learning Prediction of Accurate Atomization Energies of Organic Molecules from Low-Fidelity Quantum Chemical Calculations

57 citations · 108 across the 4 of their papers we have counts for

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cond-mat.mtrl-sci2026

Harnessing X-ray Absorption Spectroscopy Data through Multimodal Mining of Battery Literature

Tanjin He, Aikaterini Vriza, Logan Ward +7

X-ray absorption spectroscopy (XAS) is central to understanding the local electronic and atomic structure of materials, yet most published spectra remain inaccessible to data-drive…