Results 191 to 200 of about 26,194,619 (388)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A Vector-Based Computational Model of Multimodal Insect Learning Walks. [PDF]

Biomimetics (Basel)
Xiang Z, Sun X, Peng J.
europepmc   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

Advanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source

Average Responses of Brain Displacement Under Rotational Loading for Computational Model Validation. [PDF]

IEEE Trans Biomed Eng
Alshareef AA, Giudice JS, Wu T, Panzer MB.   +3 more
europepmc   +1 more source

Computational Surface Modelling of Ices and Minerals of Interstellar Interest—Insights and Perspectives

, 2020
Albert Rimola, Stefano Ferrero, Aurèle Germain, Marta Corno, Piero Ugliengo   +4 more
openalex   +1 more source

A computational model of lysosome–ER Ca2+ microdomains

Journal of Cell Science, 2014
C. J. Penny, Bethan S. Kilpatrick, J. Han, J. Sneyd, Sandip Patel   +4 more
semanticscholar   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

A computational model of radial scaffolds in the human fetal brain based on MRI. [PDF]

Cereb Cortex
Homae F, Schwartz E, Tsuzuki D, Gima H, Watanabe H, Prayer D, Kasprian G, Langs G, Taga G.   +8 more
europepmc   +1 more source

Hybrid Auxetic Architectures: Integrating Curvature‐Driven Design for Enhanced Mechanical Tunability and Structural Performance

Advanced Engineering Materials, EarlyView.
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De, Giovanni Meli, Meysam Khalighian, Anahita Emami   +3 more
wiley   +1 more source

Microstructural Evolution and Mechanical Performance of Plasma‐Assisted Hybrid Friction Stir Welded Dissimilar Aluminum–Copper Joints

Advanced Engineering Materials, EarlyView.
Plasma‐assisted hybrid friction stir welding of dissimilar AlCu joints employs localized plasma preheating to balance heat input and enhance plastic flow. The optimized process reduces axial force by up to 35%, refines the microstructure, and achieves ≈96% joint efficiency.
Deepak Kumar Yaduwanshi, Pankaj Shrivastava, Ganesh Chouhan, Velaphi Msomi   +3 more
wiley   +1 more source