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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

Perception of online learning, knowledge assessment, and clinical skills among third-year ophthalmology residents studying during the COVID-19 pandemic in Thailand. [PDF]

open access: yesSci Rep
Chuenkongkaew W   +15 more
europepmc   +1 more source

Dental students' perceptions of integrating online learning in the dental curriculum. [PDF]

open access: yesBMC Med Educ
Al-Natour B   +5 more
europepmc   +1 more source

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