Xue Jia
0009-0003-6591-4284
Tohoku University
13 papers found
Refreshing results…
Data mining of stable, low-cost metal oxides as potential electrocatalysts
Dealing with the big data challenges in AI for thermoelectric materials
Machine learning enabled exploration of multicomponent metal oxides for catalyzing oxygen reduction in alkaline media
Identifying Stable Electrocatalysts Initialized by Data Mining: Sb2WO6 for Oxygen Reduction
Advancing thermoelectric materials discovery through semi-supervised learning and high-throughput calculations
A dynamic database of solid-state electrolyte (DDSE) picturing all-solid-state batteries
Explore the Ionic Conductivity Trends on B12H12 Divalent Closo-Type Complex Hydride Electrolytes
The surface states of transition metal X-ides under electrocatalytic conditions
Rapid accomplishment of strength/ductility synergy for additively manufactured Ti-6Al-4V facilitated by machine learning
Unsupervised machine learning for discovery of promising half-Heusler thermoelectric materials
Martensite colony engineering: A novel solution to realize the high ductility in full martensitic 3D-printed Ti alloys
Band convergence and phonon engineering to optimize the thermoelectric performance of CaCd2Sb2
Using materials quality factor BΔΕ∗ for design of thermoelectric materials with multiple bands
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