Results 181 to 190 of about 21,020,521 (317)

High Hole Concentration and Diffusion Suppression of Heavily Mg-Doped p-GaN for Application in Enhanced-Mode GaN HEMT. [PDF]

Nanomaterials (Basel), 2021
Dai JJ, Mai TT, Wu SK, Peng JR, Liu CW, Wen HC, Chou WC, Ho HC, Wang WF.   +8 more
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Optimization of Low-Voltage p-GaN Gate HEMTs for High-Efficiency Secondary Power Conversion. [PDF]

Micromachines (Basel)
Zhai L, Li X, Ji J, Yu L, Chen L, Chen Y, Xia H, Han Z, Wang J, Jiang X, Yuan S, Zhang T, Hao Y, Zhang J.   +13 more
europepmc   +1 more source

Improvement in the Output Power of Near-Ultraviolet LEDs of p-GaN Nanorods through SiO₂ Nanosphere Mask Lithography with the Dip-Coating Method. [PDF]

Nanomaterials (Basel), 2021
Yue W, Li P, Zhou X, Wang Y, Wu J, Bai J.   +5 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Research on the Degradation and Failure Mechanisms of the Unclamped-Inductive-Switching Characteristics of p-GaN HEMT Devices. [PDF]

Micromachines (Basel)
Liu L, Zhen Y, Li S, Pang B, Zeng K.
europepmc   +1 more source

Normally-Off p-GaN Gated AlGaN/GaN MIS-HEMTs with ALD-Grown Al₂O₃/AlN Composite Gate Insulator. [PDF]

Membranes (Basel), 2021
Chiu HC, Liu CH, Huang CR, Chiu CC, Wang HC, Kao HL, Lin SY, Chien FT.   +7 more
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Reconfiguring hot-hole flux via polarity modulation of p-GaN in plasmonic Schottky architectures. [PDF]

Sci Adv
Lee H, Park Y, Nah S, Kang M, Lee M, Park JY.   +5 more
europepmc   +1 more source

E/D-Mode GaN Inverter on a 150-mm Si Wafer Based on p-GaN Gate E-Mode HEMT Technology. [PDF]

Micromachines (Basel), 2021
Jia LF, Zhang L, Xiao JP, Cheng Z, Lin DF, Ai YJ, Zhao JC, Zhang Y.   +7 more
europepmc   +1 more source