Results 201 to 210 of about 2,341,333 (275)

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

Geographic Patterns of Intra- and Interspecific Diversity of Riverine Fish Species in the Italian Northern Apennines and Ligurian Alps. [PDF]

Ecol Evol
Kirschner D, Vance G, Marques V, Goralczyk M, Valentini A, Zhang X, Willett SD, Altermatt F, Pellissier L.   +8 more
europepmc   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Greater Thermal Plasticity Toward Heterogeneous Range-Edge Environments of Three <i>Hypericum</i> Species. [PDF]

Ecol Evol
Koivusaari SHM, Hällfors MH, Hjort J, Hyvärinen MT, Levo M, Luoto M, Møller C, Opedal ØH, Pietikäinen L, Romero-Bravo A, Mattila ALK.   +10 more
europepmc   +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

Geographical variation of chemical signals and odor discrimination in the great Himalayan leaf-nosed bat (Hipposideros armiger). [PDF]

BMC Biol
Sun C, Zheng Z, Lucas JR, Li A, Feng J, Zhang C, Jiang T.   +6 more
europepmc   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Identification of pharmaceuticals and environmental contaminants as obesogens inducing a locomotion-independent thrifty phenotype. [PDF]

Commun Biol
Al Kassir S, Mercé T, Bourcier LM, Pedemay S, Soares M, Knoll-Gellida A, Babin PJ.   +6 more
europepmc   +1 more source