Results 171 to 180 of about 2,192,035 (232)

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

Corrigendum to performing highly efficient minima hopping structure predictions using the Atomic Simulation Environment (ASE) [SoftwareX 25 (2024) 101632]

SoftwareX
Marco Krummenacher, Moritz Gubler, Jonas A. Finkler, Hannes Huber, Martin Sommer-Jörgensen, Stefan Goedecker   +5 more
doaj   +1 more source

Current Status of Per- and Poly-Fluoroalkyl Substances (PFAS) Exposure on Lung Cell Biology and Pulmonary Outcomes along Human Health Risk Assessment Steps. [PDF]

Curr Allergy Asthma Rep
Dameris L, Carberry V, Seifert C, Sherman J, Hu Y, Rebuli ME, Turpin BJ, Surratt JD, Smith G, Rager JE.   +9 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

Food and Nutrition Insecurity in Cancer Survivorship: A Global Scoping Review. [PDF]

Cancer Med
Ayre SK, Madders RJ, Baker BP, Mitchell EF, Goodwin BC, Johnston EA, Gallegos D.   +6 more
europepmc   +1 more source

Combined Process‐ and Phase‐Field‐Simulation to Predict the Microstructure of Single‐Crystal Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
A combined finite element and phase‐field approach predicts the evolution of microstructure during the directional solidification of Ni‐based superalloys. The model reveals how withdrawal rate, temperature gradient, and wall thickness control the dendrite spacing, highlighting the strong effect of surface regions in thin sections where dendrite growth ...
Sean Böhm, André B. Baldissera, Rainer Völkl, Uwe Glatzel   +3 more
wiley   +1 more source

Abexinostat, a histone deacetylases inhibitor, for patients with relapsed or refractory follicular lymphoma: a multi-center, single-arm phase 2 study. [PDF]

Signal Transduct Target Ther
Gui L, Liu H, Wang H, Cao J, Li Y, Yu Y, Gao Y, Li Z, Shen J, Zhang L, Zhang Q, Pan H, Zheng M, Ke X, He H, Guo S, Wang Y, Xu X, Zou L, Wu W, Shi Y.   +20 more
europepmc   +1 more source

Incorporation of Selenium into Sol–Gel‐Derived Bioactive Glass: Influence on Glass Structure, Bioactivity, and its Selective Cytotoxicity

Advanced Engineering Materials, EarlyView.
Selenium was incorporated into a sol–gel‐derived bioactive glass to enable sustained therapeutic ion release. The selenium‐containing glass preserved bioactivity while selectively inducing cytotoxicity in osteosarcoma cells and maintaining osteoblastic viability.
Breno Rocha Barrioni, Thalita Marcolan Valverde, Talita Martins, Guilherme Mattos Jardim Costa, Alfredo Miranda de Goes, Marcello Rosa Dumont, Eduardo Henrique Martins Nunes, Marivalda de Magalhães Pereira   +7 more
wiley   +1 more source

Correction: Research advances in exercise management for frail older adults. [PDF]

Front Public Health
Liu C, Lu L, Wei W.
europepmc   +1 more source