Results 191 to 200 of about 29,698,260 (294)

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 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

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

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +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

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

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

A Study on the Dynamic Switching Characteristics of p-GaN HEMT Power Devices. [PDF]

Micromachines (Basel)
Fan C, Zhang H, Liu H, Pan X, Yan S, Chen H, Guo W, Cai L, Wei S.   +8 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

DyCoDiff: Dynamic Collaborative Diffusion for Text‐Image‐Audio‐to‐Video

Advanced Intelligent Systems, EarlyView.
DyCoDiff enables text, image, and audio conditions to collaborate before temporal video generation. A multimodal condition fusion layer injects gated text‐centric fusion into the temporal branch, while collaborative losses align generated videos with semantic, visual, and dynamic audio cues for rhythm‐sensitive text‐image‐audio‐to‐video synthesis. Text‐
Youming Zhang, Wenmin Wang, Zhongheng Chen, Zhengyu Peng   +3 more
wiley   +1 more source