Results 201 to 210 of about 360,304 (247)

What Do Large Language Models Know About Materials?

open access: yesAdvanced 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

Shared phonological networks in frontal and temporal cortex for language production and comprehension. [PDF]

open access: yesCereb Cortex
Dmitrieva X   +9 more
europepmc   +1 more source

The Power of Naming: The Multifaceted value of learning students' names [PDF]

open access: yes, 2015
Duffy, James   +2 more
core  

Hybrid Auxetic Architectures: Integrating Curvature‐Driven Design for Enhanced Mechanical Tunability and Structural Performance

open access: yesAdvanced Engineering Materials, EarlyView.
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De   +3 more
wiley   +1 more source

Can Ti‐Based MXenes Serve as Solid Lubricants for Brake Applications? A Tribological Study

open access: yesAdvanced Engineering Materials, EarlyView.
This study explores the first implementation of Ti‐based MXenes materials in brake pad friction composite material. The resulting composite material exhibits a 48% reduction in the wear rate; alongside significant improvements are observed for thermal and mechanical properties.
Eslam Mahmoud   +7 more
wiley   +1 more source

Object naming after epilepsy surgery in the dominant left temporal lobe: risk factors, time course and long-term outcome. [PDF]

open access: yesJ Neurol Neurosurg Psychiatry
Walther K   +11 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi   +4 more
wiley   +1 more source

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