Results 241 to 250 of about 246,481 (370)

Softening of Vibrational Modes and Anharmonicity Induced Thermal Conductivity Reduction in a‐Si:H at High Temperatures

open access: yesAdvanced Electronic Materials, EarlyView.
This study developed a neuroevolution machine learning potential of both a‐Si:H and a‐Si systems, and revealed that the softening of vibrational modes and enhanced anharmonicity contribute to the reduction in thermal conductivity with increasing temperature and hydrogen concentration.
Zhuo Chen   +8 more
wiley   +1 more source

Engineering a Meltable MOF to Tune Liquid Transition and Promote Coenzyme Regeneration

open access: yesAngewandte Chemie, EarlyView.
Through a liquid–liquid transition process, a bimetallic glassy MOF is fabricated. It has exceptional glass‐forming properties, evenly distributed bimetallic ions, and a markedly higher visible‐light‐driven photogeneration efficiency of enzymatically active NADH.
Wengang Huang   +15 more
wiley   +2 more sources

On Ga2O3 Self‐Switching Nano‐Diodes

open access: yesAdvanced Electronic Materials, EarlyView.
This study presents the first gallium oxide self‐switching nano‐diodes, exhibiting low specific on‐resistance, high current density, breakdown voltage above 100 V, and strong UV responsivity at 240 nm. Going beyond rectification, these devices offer multiple promising functionalities for monolithically integrated future β‐Ga₂O₃ circuits.
Glen Isaac Maciel García   +7 more
wiley   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Home - About - Disclaimer - Privacy