19 citations · 19 across the 1 of their papers we have counts for
3 papers
Multitask learning with semiempirical orbital charges enables sample-efficient MLIPs
Ihor Neporozhnii, Sjoerd Hoogland, Oleksandr Voznyy
Machine learning interatomic potentials (MLIPs) require generating computationally expensive, large-scale training datasets to accurately simulate materials and molecules. Incorpor…
High-magnitude, spatially and directionally programmable, and sustained strain engineering of 2D semiconductors
Boran Kumral, Pedro G. Demingos, Pedro Guerra Demingos +17
Crystalline two-dimensional (2D) semiconductors often combine high elasticity and in-plane strength, making them ideal for strain-induced tuning of electronic characteristics, akin…
Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models
Jehad Abed, Jiheon Kim, Muhammed Shuaibi +17
The search for low-cost, durable, and effective catalysts is essential for green hydrogen production and carbon dioxide upcycling to help in the mitigation of climate change. Disco…