Results 231 to 240 of about 2,804,653 (355)

A computational bridge between traction force microscopy and tissue contraction. [PDF]

J Appl Phys, 2023
Flanary SM, Jo S, Ravichandran R, Alejandro EU, Barocas VH.   +4 more
europepmc   +1 more source

Machine learning traction force maps for contractile cell monolayers

Changhao Li, Luyi Feng, Yang Jeong Park, Jian Yang, Ju Li, Sulin Zhang   +5 more
openalex   +2 more sources

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Stress fiber traction force reshapes chromatin accessibility and YAP binding to direct diverse transcriptional programs in mesenchymal stem cells. [PDF]

Mechanobiol Med
Lei J, Long Y, Liu X, Chu Z, Wei Q.
europepmc   +1 more source

Quantitative reconstruction of time-varying 3D cell forces with traction force optical coherence microscopy [PDF]

, 2018
Jeffrey A. Mulligan, Xinzeng Feng, Steven G. Adie   +2 more
openalex   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Traction force generation in Plasmodium sporozoites is modulated by a surface adhesin. [PDF]

J Microsc
Ripp J, Probst D, Singer M, Schwarz US, Frischknecht F.   +4 more
europepmc   +1 more source

Epiretinal Membrane Impairs the Inner Retinal Layer in a Traction Force-Dependent Manner. [PDF]

Ophthalmol Sci, 2023
Kanzaki Y, Matoba R, Kimura S, Hosokawa MM, Shiode Y, Doi S, Morita T, Kanzaki S, Takasu I, Tanikawa A, Morizane Y.   +10 more
europepmc   +1 more source