Results 151 to 160 of about 12,385 (267)

Qualitative Analysis of Biogas by Raman Spectroscopy: Effect of Pressure on Major Components

open access: yesJournal of Raman Spectroscopy, EarlyView.
Raman spectra of major and selected minor biogas components were studied under pressures up to 100 bar. Pressure‐induced shifts and band broadening were quantified for methane, carbon dioxide, and nitrogen, while Raman spectra of ammonia and hydrogen sulfide are presented in the context of biogas quality monitoring.
Dominik Tománek   +2 more
wiley   +1 more source

Sustainable Metal Recovery From E‐Waste: Exploring Greener Leachates in Hydrometallurgical Processes

open access: yesMetalMat, EarlyView.
Recycling of electronic waste to synthesize valuable metals using green leachate. ABSTRACT The accumulation of electronic waste (e‐waste) poses environmental hazards and leads to the loss of valuable metals such as gold, silver, copper, and rare earth elements.
Shassatha Paul Saikat   +4 more
wiley   +1 more source

Improvement of Hydrogen-Resistant Gas Turbine Engine Blades: Single-Crystal Superalloy Manufacturing Technology. [PDF]

open access: yesMaterials (Basel)
Balitskii AI   +9 more
europepmc   +1 more source

AlloyDesignClaw: Optimizing Castability and Mechanical Properties of Nickel‐Based Superalloys

open access: yesMaterials Genome Engineering Advances, EarlyView.
A stepwise optimization method is proposed for castability and mechanical properties of nickel‐based superalloys, enabling interpretable dimensionality reduction and efficient multi‐objective optimization of the composition space. An alloy design multi‐agent framework was further developed, integrating large language models, CALPHAD calculation ...
Jiaxuan Ma   +7 more
wiley   +1 more source

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

open access: yesMaterials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li   +8 more
wiley   +1 more source

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