Results 151 to 160 of about 189 (172)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

High Power Density, Low Temperature, Solid Oxide Fuel Cells at Elevated Oxygen Partial Pressure

open access: yesAdvanced Energy Materials, EarlyView.
Elevated pO2${{p}_{{{{\mathrm{O}}}_2}}}$ improves oxygen reduction reaction (ORR) kinetics, thus reducing electrode area specific resistance (ASR). The effect of pO2${{p}_{{{{\mathrm{O}}}_2}}}$ in open circuit potential (OCP) and ASR is demonstrated on both Sr0.5Sm0.5CoO3‐δ‐Gd0.1Ce0.9O2‐δ (SSC‐GDC) composite cathodes and our recently developed nano‐PSC
Samuel A. Horlick   +7 more
wiley   +1 more source

Optimal schema hierarchies in searching semistructured databases by conjunctive regular path queries

Programming and Computer Software, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +2 more sources

Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins

Lecture Notes in Computer Science
Axel-Cyrille Ngonga Ngomo   +2 more
exaly   +2 more sources

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