Results 101 to 110 of about 19,519 (264)
Trust‐region filter algorithms utilizing Hessian information for gray‐box optimization
Abstract Optimizing industrial processes often involves gray‐box models that couple algebraic glass‐box equations with black‐box components lacking analytic derivatives. Such systems challenge derivative‐based solvers. The classical trust‐region filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu +5 more
wiley +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
This study analysed the failure of dissimilar metal welds (DMWs) between ferritic heat resistant steels and austenitic stainless steels and investigated its influencing factors by means of numerical simulation, microstructure characterization and ...
Xiaogang Li +4 more
doaj +1 more source
A Review on Magnesium Based Metal Hydrides for Thermal Energy Storage Systems
ABSTRACT The hydrogen storage in metal hydrides is an imminent, innovative, and environmentally beneficial approach that offers benefits for example, an ample amount of storage and elasticity in terms of thermodynamics necessary for hydrogen absorption and release.
Asif Nizam +3 more
wiley +1 more source
Methane Generation Using an Anaerobic Biodigester From Waste Leachate Water
ABSTRACT Leachate wastewater (LWW) is characterized by slow biodegradation and low biogas production due to resistant materials and limited biological activity. Therefore, applying pretreatments is essential to improving biodegradation potential, which consequently boosts energy recovery.
Khairi R. Kalash +5 more
wiley +1 more source
For dissimilar metal welds (DMWs) involving nickel-based weld metal (WM) and ferritic heat resistant steel base metal (BM) in power plants, there must be an interface between WM and BM, and this interface suffers mechanical and microstructure mismatches ...
Xiaogang Li +4 more
doaj +1 more source
ABSTRACT Photocatalytic materials have emerged as promising solutions for environmental applications due to their ability to degrade organic pollutants under sunlight or artificial light. In this review, recent progress on the photocatalytic materials used for the degradation of pharmaceutical personal care products (PPCPs) in environmental ...
Urvashi Sen +5 more
wiley +1 more source

