Results 221 to 230 of about 14,557,136 (249)

Muscle‐Inspired Self‐Growing Anisotropic Hydrogels with Mechanical Training‐Promoting Mechanical Properties

Advances in Materials
Muscles are highly anisotropic, force‐bearing issues. They form via a process involving nutrient absorption for matrix growth and mechanical training for matrix toughening, in which cyclic disassembly‐reconstruction of muscle fibers plays a critical role
Yulong Xia, Xiaozhuang Zhou, Zhenzhen Wang, Luzhi Zhang, Xinhong Xiong, Yubo Cui, Ruizhi Zhang, Jian Zhang, Guoqiang Luo, Qiang Shen, Jiaxi Cui   +10 more
semanticscholar   +1 more source

Fine-tuning foundation models of materials interatomic potentials with frozen transfer learning

npj Computational Materials
Machine-learned interatomic potentials are revolutionising atomistic materials simulations by providing accurate and scalable predictions within the scope covered by the training data.
Mariia Radova, Wojciech G Stark, Connor Allen, R. J. Maurer, Albert P. Bart'ok   +4 more
semanticscholar   +1 more source

Foundation models for atomistic simulation of chemistry and materials.

Nature Reviews Chemistry
Conventional computational methods for modeling chemical and materials systems are limited by system size and timescale, forcing a trade-off between quantum-mechanical accuracy and the sampling needed for realistic observables.
Eric Chung-Yueh Yuan, Yunsheng Liu, Junmin Chen, Peichen Zhong, Sanjeev Raja, T. Kreiman, Santiago Vargas, Wenbin Xu, M. Head‐Gordon, Chao Yang, Samuel M. Blau, Bingqing Cheng, A. Krishnapriyan, T. Head‐Gordon   +13 more
semanticscholar   +1 more source

Develop training materials

, 2021
M. Killcross
semanticscholar   +1 more source

Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models

arXiv.org
The ability to discover new materials with desirable properties is critical for numerous applications from helping mitigate climate change to advances in next generation computing hardware.
Luis Barroso-Luque, M. Shuaibi, Xiang Fu, Brandon M. Wood, Misko Dzamba, Meng Gao, Ammar Rizvi, Matthew Uyttendaele, C. L. Zitnick, Zachary W. Ulissi   +9 more
semanticscholar   +1 more source

Learning to learn by using nonequilibrium training protocols for adaptable materials

Proceedings of the National Academy of Sciences of the United States of America, 2023
Arvind Murugan, Nidhi Pashine, Margaret Gardel   +2 more
exaly  

The usability of eye tracking in the design of digital training materials

Procedia Computer Science, 2022
Mateusz Piwowarski
exaly  

Deaf and hard of hearing employees: accessible and AR-based training materials

Universal Access in the Information Society
Aysen Zeynep Oral, Ö. K. Kalkan
semanticscholar   +1 more source

Developing Effective Worker Health and Safety Training Materials: Hazard Awareness, Identification, Recognition, and Control for the Salon Industry

Journal of Occupational and Environmental Medicine, 2015
A. Mayer, W. Brazile, Samantha Erb, Daniel A. Autenrieth, Kate A. Serrano, M. V. Van Dyke   +5 more
semanticscholar   +1 more source

Training Staff to Create Equivalence-Based Instruction Materials in Qualtrics

Psychological Record, 2022
Kenneth Reeve, Tina Sidener, David J Cox   +2 more
exaly