The release of foulers from protective marine coatings is determined by several interrelated material properties, including the strength of Young's modulus, the flexibility of chain segments, the surface free energy, and the magnitude of hydrodynamic stress.
Johann C. Schaal +2 more
wiley +1 more source
Supervised Machine Learning and Physics Machine Learning approach for prediction of peak temperature distribution in Additive Friction Stir Deposition of Aluminium Alloy. [PDF]
Mishra A +5 more
europepmc +1 more source
Wireless graphene-based thermal patch for obtaining temperature distribution and performing thermography. [PDF]
Kang M +7 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
Theoretical investigations on analysis and optimization of freeze drying of pharmaceutical powder using machine learning modeling of temperature distribution. [PDF]
Al Hagbani T +4 more
europepmc +1 more source
Spatially Resolved Temperature Distribution in a Rare-Earth-Doped Transparent Glass-Ceramic. [PDF]
Sedmak I +5 more
europepmc +1 more source
An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam +6 more
wiley +1 more source
Optimizing cold storage for uniform airflow and temperature distribution in apple preservation using CFD simulation. [PDF]
Alexander LD, Jakhar S, Dasgupta MS.
europepmc +1 more source
Effects of Radio Frequency Tempering on the Temperature Distribution and Physiochemical Properties of Salmon (Salmo salar). [PDF]
Han R +5 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

