Results 151 to 160 of about 955,310 (294)
Excellent combinations of strength and impact toughness are obtained in a bilayer composite of high‐strength carbide‐free bainitic (CFB) steel and high‐ductility twinning‐induced plasticity (TWIP) steel. The composite absorbs energy at small strains when the notch is placed on the TWIP side and at high strains when the notch is placed on the CFB side ...
Kendra Hawke +5 more
wiley +1 more source
Disaggregated machine learning via in-physics computing at radio frequency. [PDF]
Gao Z +4 more
europepmc +1 more source
This study reports the fabrication of trabecular bioactive glass scaffolds (composition “1d”: 46.1SiO2‐28.7CaO‐8.8MgO‐6.2P2O5‐5.7CaF2‐4.5Na2O wt%) through vat photopolymerization and the relevant results from mechanical testing and in vivo implantation procedures in rabbit femora, showing great promise for bone tissue engineering applications.
Dilshat Tulyaganov +8 more
wiley +1 more source
Dual-directional CIM-based non-volatile SRAM for instant-on/off energy-constrained edge AI devices. [PDF]
Hemmasi SP +3 more
europepmc +1 more source
An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu +8 more
wiley +1 more source
Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm for Mobile Edge Computing Networks (EHRL). [PDF]
Bayoumi H +3 more
europepmc +1 more source
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel +3 more
wiley +1 more source
Accessing the density-free regime with ECRH-assisted ohmic start-up on EAST. [PDF]
Liu J +18 more
europepmc +1 more source
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
Retraction notice to "Feasibility study of a grid-connected PV/wind hybrid energy system for an urban dairy farm" [Heliyon 10 (2024) e40650]. [PDF]
Bouregba H +6 more
europepmc +1 more source

