Results 191 to 200 of about 6,436,916 (343)
What Do Large Language Models Know About Materials?
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
Assessing Refugee Trauma: Transformative Clinical Training in a Community Service-Learning Model. [PDF]
Reihling H +3 more
europepmc +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
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
Application of the Talking Stick Cooperative Learning Model in Improving Student Learning Outcomes
Hendra Saputra S. Adiko, Monalisa Djafar
openalex +2 more sources
Deep Learning Based Hybrid Models for Prediction of COVID-19 using Chest X-Ray [PDF]
Shree Charran R, Rahul Dubey
openalex +1 more source
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 +5 more
wiley +1 more source
Learning Outcomes in Science Subjects Through the Inkuri Learning Model in Elementary Schools
Aningsih Aningsih +2 more
openalex +2 more sources

