Results 231 to 240 of about 11,619,519 (302)
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Thermochemical Valorization of Silkworm Feeding Waste: Chemical Characterization and Biological Activities of the Pyrolysis-Derived Liquid Fraction. [PDF]
Karan H +5 more
europepmc +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Electrocatalysis and Photoelectrocatalysis: Perspective from Physicochemical Mechanisms to Applications. [PDF]
Xu XL, Xu L, Watanabe I, Xiao L, Li X.
europepmc +1 more source
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar +7 more
wiley +1 more source
Optimal Design of Catalysts for Photoreforming Lactic Acid/Polylactic Acid to Clean Fuels and Value-Added Chemicals. [PDF]
Fang Z +5 more
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Synergistic Ni-Co Dual Single Atoms on Oxygen-Deficient CeO<sub>2</sub> Nanorods for Efficient and Coke-Resistant Photothermal Dry Reforming of Methane. [PDF]
Zhang C +6 more
europepmc +1 more source

