Results 191 to 200 of about 58,862 (263)

Two-Dimensional DOA Estimation of Coherent Sources Based on Uniform Linear Electromagnetic Vector Sensor Array. [PDF]

Sensors (Basel)
Zhang J, Lan X, Wang X.
europepmc   +1 more source

Capacitive versus Faradaic Microelectrodes for Extracellular Stimulation: A Fully Coupled FEM–Hodgkin–Huxley Study of Thresholds and Current Redistribution

Advanced Electronic Materials, EarlyView.
A fully coupled FEM–HH model shows that ideally capacitive microelectrodes can achieve lower charge‐density thresholds than Faradaic contacts under current‐controlled stimulation. The advantage stems from the dynamics of surface current density on capacitive interfaces, which redirects current beneath adherent neurons.
Aleksandar Opančar, Eric Daniel Głowacki, Vedran Đerek   +2 more
wiley   +1 more source

Understanding coach burnout as a relational process: an autoethnographic case from high-performance trampoline. [PDF]

Front Sports Act Living
Shintani S, Sugita M, Mizushima J.
europepmc   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

Essential Yet Invisible: Professional Identity Formation Among Academic Internal Medicine Hospitalists. [PDF]

Perspect Med Educ
Samanani S, Gold B, Zaidi Z.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced 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, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Regulation of Crystallization Kinetics via Zwitterionic Additive for Efficient and Operationally Stable Formamidinium Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
This study introduces a zwitterionic additive, Cl‐PPS, to regulate crystallization kinetics and passivate defects in formamidinium‐based perovskite solar cells. Cl‐PPS promotes direct α‐phase formation, minimizes necessary MACl loading, and induces highly crystalline, vertically oriented grains.
Shuai Li, Bohong Chang, Jianqiu Gong, Xianglang Sun, Francesco Vanin, Chunlei Zhang, Zexin Yu, Ning Wang, Dong Zhang, Baoze Liu, Liangchen Qian, Xinhui Lu, Haipeng Lu, Mingjie Li, Danpeng Gao, Bo Li, Zonglong Zhu   +16 more
wiley   +1 more source