Results 211 to 220 of about 4,554 (291)
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
This study explored how effective nickel aluminide coatings are obtained in providing oxidation resistance applied to the Inconel 738 alloy, modeling with diffusion models. In the present study, kinetics and thermal behavior of the Inconel 738 alloy were studied by the low‐temperature thermoreactive aluminizing process, which was carried out at 625°C ...
Gozde Celebi Efe +4 more
wiley +1 more source
The cost of banning TikTok: Implications for the digital advertising market. [PDF]
Donati D, Fong H.
europepmc +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
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 +3 more
wiley +1 more source
Asymmetric impact of exchange rate on trade balance in Ethiopia: Evidence from a non-linear autoregressive distributed lag model (NARDL) approach. [PDF]
Abegaz BE.
europepmc +1 more source
Disordered (Fe50Co50)1−xPtx thin films exhibit a pronounced anomalous Nernst effect (ANE) with a strong composition dependence on both rigid and flexible substrates. The transverse thermoelectric response peaks near 22.5 at.% Pt, accompanied by enhanced αxy/σxy scaling, thermal transport, and ANE sensitivity.
Mojtaba Mohammadi +2 more
wiley +1 more source
Dissecting fuel demand elasticities in Ghana: A quantile regression analysis using the Marshallian demand framework. [PDF]
Takyi F +4 more
europepmc +1 more source
Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source

