Results 181 to 190 of about 3,277,460 (290)

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

Stemming “ignorance creep” in paleoecology and biogeography

Frontiers of Biogeography, 2012
Jessica L Blois
doaj  

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

Magnetotelluric forward modeling on fine grid via deep learning with physical information constraints. [PDF]

Sci Rep
Wang K, Yuan C, Zhu H, Xie Z, Huang Q.
europepmc   +1 more source

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 more
wiley   +1 more source

Fast automated adjoints for spectral PDE solvers. [PDF]

Proc Natl Acad Sci U S A
Skene CS, Burns KJ.
europepmc   +1 more source

Characterization of Nitinol Produced by Laser Powder Bed Fusion for Mechanical Metamaterial Applications

Advanced Engineering Materials, EarlyView.
Stabilization of L‐PBF Ni50.7Ti49.3 under low‐cycle loading was investigated. Recoverable strain after cycling was dependent on the amount of applied load. Recovery ratio was 53.4% and 35.1% at intermediate and high load, respectively. The maximum total strain reached 10.3% at a high load of 1200 MPa.
Ondřej Červinek, Jakub Hurník, Miroslav Šmíd, Ondřej Zobač, Melanie Todt, Daniel Koutný   +5 more
wiley   +1 more source

Inferring neural sources from electroencephalography: foundations and frontiers. [PDF]

J Neural Eng
Phillips AR, Vakilna YS, EPMoghaddam D, Banta A, Mosher JC, Aazhang B.   +5 more
europepmc   +1 more source

Investigation of Thermo‐Chemical Processes in Commercial MgO‐C Refractory Bricks With and Without MgO‐C Recyclate at Elevated Temperatures

Advanced Engineering Materials, EarlyView.
This study investigates thermo‐chemical processes during high‐temperature testing of two commercial MgO‐C brick grades, one containing 47.5 wt.% MgO‐C recyclate. Using ETV, DTA/TG‐MS, XRD, and SEM/EDS/EBSD, mechanisms such as carbothermal reduction of magnesia, impurity incorporation into the secondary MgO surface layer, and calcium‐rich phase ...
Alexander Schramm, Jana Hubálková, Christian Schimpf, Thomas Schemmel, Christos G. Aneziris, Anja Weidner, Horst Biermann   +6 more
wiley   +1 more source

Closed-form feedback-free learning with forward projection. [PDF]

Nat Commun
O'Shea R, Rajendran B.
europepmc   +1 more source