Results 231 to 240 of about 3,272,786 (313)

Tests for Categorical Data Beyond Pearson: A Distance Covariance and Energy Distance Approach. [PDF]

Biom J
Castro-Prado F, González-Manteiga W, Costas J, Facal F, Edelmann D.   +4 more
europepmc   +1 more source

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

Editorial

Journal of Open, Flexible and Distance Learning, 2012
Andrea McIlroy, Terry Hearn
doaj   +2 more sources

Time, space and feature similarity determine attractive and repulsive serial biases in trustworthiness impressions. [PDF]

BMC Biol
Marini F, Sutherland CAM, Jeffery L, Manassi M.   +3 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

Tree reconstruction guarantees from CRISPR-Cas9 lineage tracing data using Neighbor-Joining. [PDF]

Genome Res
An K, Prillo S, Wu W, Kristanto I, Jones MG, Song YS, Yosef N.   +6 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

An Idealized Model of Extrusome Ejection Through the Collapse of a Capsule. [PDF]

Bull Math Biol
Harrison A, Strychalski W, Hamlet C, Miller L.   +3 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

Développement de relations significatives avec l'enfant extraits (série A)

, 2005
Cégep@distance
core