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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
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
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Optimal schema hierarchies in searching semistructured databases by conjunctive regular path queries
Programming and Computer Software, 2006zbMATH 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 ScienceAxel-Cyrille Ngonga Ngomo +2 more
exaly +2 more sources

