Results 191 to 200 of about 1,571,252 (311)

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

Students' motivation, study-effort and perceptions of teachers' goals when engaging in a learning design within the flipped classroom. [PDF]

BMC Med Educ
Torbergsen HKS, Paulsby TE, Haugan G, Utvær BK.   +3 more
europepmc   +1 more source

Internet Technology and Lifelong Learning

, 2009
This is a text version of an online distance-learning course produced in 2004. It is deposited here now (July 2009) for archive purposes. It was originally intended for the professional development of staff involved in any way with the management, design
Martin Counihan, DEALL (Distance Education about Lifelong Learning), Maine Learning Ltd.   +2 more
core  

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

Integrating augmented reality virtual patients into healthcare training: A scoping review of learning design and technical requirements. [PDF]

PLoS One
Chahartangi F, Zarifsanaiey N, Mehrabi M, Ghoochani BZ.   +3 more
europepmc   +1 more source

Applications of a working framework for the measurement of representative learning design in Australian football. [PDF]

PLoS One, 2020
Browne PR, Woods CT, Sweeting AJ, Robertson S.   +3 more
europepmc   +1 more source

Enhancing design learning using a digital repository

, 2005
The process of design is context dependent and open-ended, and therefore does not revolve around a specific body of information or knowledge. The educational paradigm shift in the area of engineering design from teaching to coaching and the increased use
Ion, W., Juster, N.P., Grierson, H., Wodehouse, A., McGill, L.   +4 more
core  

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

Collaborative partnerships to improve E-Learning design: Enhancing information skills training for the healthcare workforce. [PDF]

Health Info Libr J
Day A, Potter A, Gilroy D, Lewis S, Young G.   +4 more
europepmc   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source