Results 221 to 230 of about 106,069 (251)
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 +2 more
wiley +1 more source
The Role of Nutrition in Applied Physiology. [PDF]
NutrientsLópez-Samanes A.
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 +2 more
wiley +1 more source
Ejtm3 experiences after ChatGPT and other AI approaches: values, risks, countermeasures. [PDF]
Eur J Transl MyolFanò-Illic G +9 more
europepmc +1 more source
New advances in asymmetric organocatalysis II. [PDF]
Beilstein J Org ChemŠebesta R.
europepmc +1 more source
Detailed examination of a double-dividend case in a recent two-engine growth model. [PDF]
MethodsXHosoya K.
europepmc +1 more source
Uralenol, Glycyrol, and Abyssinone II as potent inhibitors of fibroblast growth factor receptor 2 from anti-cancer plants: A deep learning and molecular dynamics approach. [PDF]
PLoS OneHossain A +6 more
europepmc +1 more source
Implementing a scoping review to explore sport officials' mental health. [PDF]
Front Sports Act LivingCarter TB +9 more
europepmc +1 more source