Results 141 to 150 of about 203,799 (303)

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

Illusions induce contradictory perception of motion. [PDF]

Iperception
Nakata YI, Kobayashi Y, Niikawa T, Nishida S.   +3 more
europepmc   +1 more source

Mae Osborn Folder

, 1885
1 page of family history documents containing and related to Mae Osborn - including: The Star ...
Mae Osborn
core  

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

Development and evaluation of a water-profile-based calibration method for 2D ionization chamber arrays in medical linear accelerator quality assurance. [PDF]

J Appl Clin Med Phys
Pak K, Kim SW, Cho B, Kwak J, Jeong S, Park K, Kim J, Park J, Song SY, Noh S, Oh J, Kang S, Jeong C.   +12 more
europepmc   +1 more source

Mae West: a biography

, 2013
Biography of Mae West.

core  

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Elizabeth Bucke to Mae Myers

, 1925
Letter from Elizabeth Bucke to Mae Myers regarding Thelma ...
Miller, Elizabeth, 1901-
core  

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

TF-STNet: A Time-Frequency Dual-Branch Spatiotemporal Network for NWP-to-Station Bias Correction. [PDF]

Entropy (Basel)
Wang Z, Chen S, Yang Y, Wang B, Xu B, Geng Y.   +5 more
europepmc   +1 more source