Results 211 to 220 of about 274,936 (300)

EKEO: An Enhanced Kangaroo Escape Optimizer with Balanced Search for Global Optimization and Engineering Design. [PDF]

Biomimetics (Basel)
Zhu X, Guo W, Shen Y, Guo J, Li S, Chang Z.   +5 more
europepmc   +1 more source

Engineering Strategies to Suppress Thermal Runaway Propagation in Lithium‐Ion Battery: Mechanisms, Metrics, Materials, and Evaluation Methods

Advanced Science, EarlyView.
Thermal runaway propagation can transform a single‐cell failure into a system‐level hazard in lithium‐ion battery packs. This review clarifies how heat transfer, gas venting, combustion, and configuration govern cell‐to‐cell failure, and links measurable metrics, pathway‐oriented suppression materials, and experimental/modeling tools to guide safer ...
Jinrong Su, Anna DiFelice, Jayani Mawela, Jianing Gan, Shuai Che, Wonhee Cho, Hanghang Yan, Yaohong Xiao, Xinxin Yao, Xiangwei Guo, Rui Wang, Dingchuan Xue, Hanlong Liu, Solomon Adera, Zhan Chen, Lei Chen   +15 more
wiley   +1 more source

Legendre neural network-based computational study through hybrid particle swarm optimization for fractional unsteady flow of Sutterby fluid. [PDF]

Sci Rep
Fatima A, Asjad MI, Aslam MN, Riaz MB.
europepmc   +1 more source

Somatic Evolution of a Germline Antibody Expands its Breadth to Neutralize Early SARS‐CoV‐2 Omicron Variants

Advanced Science, EarlyView.
Engineering of the 148‐germline (148‐GL) antibody reveals a roadmap for overcoming SARS‐CoV‐2 viral escape. By introducing four specific somatic hypermutations, the resulting 148‐M4 variant restores potent neutralization against Omicron BA.1 and BA.4/5.
Huibin Lv, Ziqi Feng, Qi Wen Teo, Chunke Chen, Akshita B. Gopal, Danbi Choi, Timothy J. C. Tan, Yun Sang Tang, Lewis Siu, Armita Nourmohammad, Roberto Bruzzone, Ian A. Wilson, Meng Yuan, Nicholas C. Wu, Chris K. P. Mok   +14 more
wiley   +1 more source

Predefined-Time Sliding Mode Control of Robotic Manipulators via Artificial Delay Feedback and Reinforcement Learning. [PDF]

Sensors (Basel)
Zhang L, Wang J, Wang J, Lu J, Li P.
europepmc   +1 more source

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Stability analysis and numerical simulation of nonlocal extended epidemic models using positivity-preserving scheme. [PDF]

Sci Rep
Yousuf M, Alshakhoury N.
europepmc   +1 more source

Bound Water as a Reinforcing Element for Ultra‐Strong Polyacrylamide

Advanced Science, EarlyView.
Rather than acting as a conventional plasticizer, bound water serves as a reinforcing element in polyacrylamide by constructing strong PAM–water–PAM hydrogen‐bond networks. This water‐mediated architecture delivers ultra‐high mechanical strength and exceptional flame resistance, redefining the role of water in polymer reinforcement.
Sirawit Pruksawan, Nannan Li, Zehuang Lin, Jianwei Zheng, Terence Jun En Loh, Yi Ting Chong, Junhua Kong, Xunan Hou, Xian Jun Loh, Chaobin He, FuKe Wang   +10 more
wiley   +1 more source

Thermal enhancement of ternary hybrid Casson nanofluid in porous media: a sensitivity analysis study. [PDF]

Sci Rep
Kenea G, Ibrahim W.
europepmc   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source