Results 61 to 70 of about 2,563,893 (258)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li +8 more
wiley +1 more source
Maximizing the Energy Output of Soft Electrohydraulic Generators
Many energy resources cannot be viably harvested with electromagnetic generators. This article evaluates the potential of soft electrohydraulic generators as an alternative approach for energy capture. An analytical model charts their operational limits and a rigorous experimental study results in new performance benchmarks with maximum specific energy
Sophie Kirkman +7 more
wiley +1 more source
Time‐resolved synchrotron radiography reveals the internal evolution of electrochemical double‐layer capacitors under abusive overcharge. EDLCs are shown to follow a thermally driven failure pathway involving electrolyte decomposition, gas generation, and structural collapse, distinct from chemically driven thermal runaway effects of Lithium‐ion ...
Thomas Dore +19 more
wiley +1 more source
Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park +5 more
wiley +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
Improvement of gas turbine engines due to isothermal expansion in the turbine
The article presents the results of the study of application of isothermal expansion in the turbine of gas turbine engines as a way of improving the thermodynamic cycle. We present equations of work and ideal cycle efficiency of a gas turbine engine with
M. A. Muraeva, I. M. Gorjunov
doaj +1 more source
Influence and Quantitative Analysis of Different Parameters on Adaptive Cycle Fan Performance
This study investigates the adaptive cycle fan (ACF), a key component enabling variable-cycle functionality in next-generation adaptive cycle engines (ACE).
Heli Yang +4 more
doaj +1 more source
Service Temperature Measurement and Thermal Insulation Mechanism of Thermal Barrier Coatings [PDF]
Thermal barrier coatings (TBC) are used for thermal protection of aero-engine turbine blade surface, which mainly consist of bond coatings and ceramic coatings.
ZHANG Kairong, XU Yi, LIU Meijun, YANG Guanjun
doaj +1 more source
Abstract The rapid growth of AI data centers (AIDCs) is intensifying stress on power systems and exposing operators to volatile electricity markets. This work develops a process‐informed co‐optimization framework that integrates liquid air energy storage (LAES) with AIDC operation. Unlike black‐box storage models, the proposed formulation captures LAES
Zhicong Fang +3 more
wiley +1 more source

