Results 241 to 250 of about 839,857 (379)

Bridging High‐Fidelity Simulations and Physics‐Based Learning using a Surrogate Model for Soft Robot Control

open access: yesAdvanced Intelligent Systems, EarlyView.
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong   +3 more
wiley   +1 more source

Dissipative Heat Impact on the Non‐Newtonian Walter's B Nanoliquid Over an Elongating Surface Through a Permeable Medium

open access: yesAsia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The utilisation of viscoelastic Walter's B nanoliquid in engineering and biomedical applications gained substantial attention because of its ability to provide real‐time fluid behaviour, particularly in the heat flow mechanism. In particular, the flow of viscoelastic fluid over an elongating surface is useful in polymer processing and ...
Laxmipriya Swain   +3 more
wiley   +1 more source

“Dead Lithium” Formation and Mitigation Strategies in Anode‐Free Li‐Metal Batteries

open access: yesBatteries &Supercaps, Volume 8, Issue 3, March 2025.
Anode‐free lithium metal batteries, though promising due to their high energy density, face challenges from dead lithium formation. “Dead lithium”, disconnected from the anode, causes capacity loss, increased resistance, and safety risks. This review explores the origins of dead lithium, its impact on battery performance, and potential strategies for ...
Mozaffar Abdollahifar, Andrea Paolella
wiley   +1 more source

Comparison between the Neo-Deterministic Seismic Hazard and Fem Approach to Assessing 2d Local Seismic Response at Chieti’S City Site (Abruzzo, Italy)

open access: green
Alessia Ricci   +7 more
openalex   +1 more source

Surrogate Modeling of Lithium‐Ion Battery Electrode Manufacturing by Combining Physics‐Based Simulation and Deep Learning

open access: yesBatteries &Supercaps, EarlyView.
From cathode formulation to dried electrode: a hybrid digital model integrates physics‐based simulations with deep learning to predict Li‐ion cathode electrode microstructure, offering a powerful tool to accelerate battery design and optimization. Optimizing the manufacturing process of Lithium‐Ion Batteries (LIB.
Utkarsh Vijay   +4 more
wiley   +1 more source

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