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This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Experimental methods in chemical engineering: Temperature‐programmed oxidation—TPO
Abstract Temperature‐programmed oxidation (TPO) probes the oxidative capacity and redox properties of solid materials—catalysts, metal oxides, perovskites, and carbonaceous deposits. It identifies coke type, distribution, and reactivity. TPO instruments pass an oxidizing gas (diluted O2$$ {\mathrm{O}}_2 $$, air, or less commonly N2O$$ {\mathrm{N}}_2 ...
Gholamreza Roohollahi +7 more
wiley +1 more source
Correction to: Computational approaches for enteric methane mitigation research: from fermi calculations to artificial intelligence paradigms. [PDF]
europepmc +1 more source
Experimental methods in chemical engineering: Temperature‐programmed desorption—TPD
Abstract Temperature‐programmed desorption (TPD) characterizes the surface active sites of functional materials, such as adsorbents (metal hydrides, porous carbons, zeolites, metal–organic frameworks, for example) and catalysts. Solids surfaces are pre‐treated to remove moisture, contaminants, and previously adsorbed species, then a probe molecule (NH3$
Daniel A. Valdivieso‐Vera +2 more
wiley +1 more source
Correction: Schilling-Hazlett et al. On-Farm Methane Mitigation and Animal Health Assessment of a Commercially Available Tannin Supplement in Organic Dairy Heifers. Animals 2024, 14, 9. [PDF]
Schilling-Hazlett A +5 more
europepmc +1 more source
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Invited review: Current enteric methane mitigation options
Journal of Dairy Science, 2022Clementina Alvarez +2 more
exaly
Methane Mitigation: Methods to Reduce Emissions, on the Path to the Paris Agreement
Reviews of Geophysics, 2020Euan G. Nisbet +2 more
exaly

