Results 181 to 190 of about 8,641 (254)

Merging Biocatalysis and Chemocatalysis in Flow: State-of-the-Art and Future Directions for Sustainable Synthesis. [PDF]

Angew Chem Int Ed Engl
Siasiaridis P, Damian M, Mutti FG.
europepmc   +1 more source

Sonocatalytic carbon dioxide reduction for syngas production over surface‐roughened CuxO catalyst

AIChE Journal, EarlyView.
Abstract The transition to a carbon‐circular economy requires efficient technologies for converting CO2 into value‐added chemical feedstocks. Sonocatalytic CO2 conversion has recently emerged as a compelling approach to drive this conversion. Here, we report a surface‐roughened CuxO catalyst for sonocatalytic CO2 reduction in aqueous media, achieving a
Dong Xia, Yi Qin, Hessan Khalid, Yagya N. Regmi, Laurie A. King, James Kwan   +5 more
wiley   +1 more source

Joule self‐heating enabled oxygen transport and coupled methane reactions in a La0.6Sr0.4Co0.2Fe0.8O3‐δ hollow fiber membrane reactor

AIChE Journal, EarlyView.
Abstract Mixed‐conducting ceramic hollow fiber membranes are a versatile platform for oxygen separation, value‐added chemical production, and oxy‐combustion. Because oxygen permeation is thermally activated, these systems typically rely on bulky, energy‐intensive furnaces that suffer from low efficiency and large thermal inertia.
Gang Wang, Hamed Abdolahimansoorkhani, Xingjian Xue   +2 more
wiley   +1 more source

Calcination of Ca-Based Sorbents in the Presence of Steam for Sorption-Enhanced Gasification Applications. [PDF]

Materials (Basel)
González WA, Nilsson S, Fuentes-Cano D, Ronda A, Gómez-Barea A.   +4 more
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Optimal Design of Acid Gas-to-Syngas (AG2S) Technology: Process Optimization and Surrogate Modeling. [PDF]

Ind Eng Chem Res
Caspani S, Sánchez LF, Vallerio M, Manenti F.   +3 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Experimental and Modeling Study of a Semi-Continuous Slurry Reactor-Pervaporator System for Isoamyl Acetate Production Using a Commercial Pervaporation Membrane. [PDF]

Membranes (Basel)
Gómez-García MÁ, Dobrosz-Gómez I, Osorio Viana W.   +2 more
europepmc   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Membrane-separated electrodes enable high-rate low-energy electrochemical carbon capture. [PDF]

Sci Adv
Sun K, Tebyetekerwa M, Zhang H, Duignan TT, Evans R, Ge L, Sun Y, Ge Y, Wang Z, Xing C, Yang J, Zeng X, Martin D, Zhang X.   +13 more
europepmc   +1 more source