Results 161 to 170 of about 670,712 (238)

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

open access: yesAdvanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong   +11 more
wiley   +1 more source

Balancing Bulk Solution Chemistry and Cation Solvation for Stable Aqueous Aluminum Batteries

open access: yesAdvanced Science, EarlyView.
A dual‐scale electrolyte design balances bulk solution chemistry and cation solvation in aqueous aluminum batteries. Regulation of the bulk solution preserves high ionic conductivity and electrochemical stability, while modulation of the Al3+ solvation environment lowers desolvation penalties and suppresses hydrogen evolution. This balanced electrolyte
Bei‐Er Jia   +18 more
wiley   +1 more source

Cation Diffusion‐Mediated Displaced Reaction‐Transformation in Green Steelmaking

open access: yesAdvanced Science, EarlyView.
The removal of O lattice atoms by environmental H2 at the surface of Fe3O4 results in Fe enrichment, driving the inward diffusion of Fe cations into the bulk. Through hopping between unoccupied and initially occupied sites, cation diffusion triggers a spatially displaced reaction‐transformation and drives subsequent dynamic phase transformations and ...
Guangyi Guo   +7 more
wiley   +1 more source

Wearable Electro‐Thermal Haptic Stimulator Driven by a Self‐Powered Tactile Sensor for Realistic Stimulus Replication

open access: yesAdvanced Science, EarlyView.
We present a stimulus‐replicating system combining a tactile sensor with a wearable Peltier thermotactile module and concentric electrotactile electrode. Signals encoding pressure and temperature drive the stimulators to reproduce mechano‐thermal cues on the skin. AlN/PDMS encapsulation and SA/LA PSA ensure mechanical compliance and thermal efficiency.
Ey‐In Lee   +4 more
wiley   +1 more source

Machine Learning–Guided Surface Strain Engineering in Connected Platinum–Nickel Nanoparticle Catalysts for Advanced Oxygen Reduction Performance

open access: yesAdvanced Science, EarlyView.
Machine learning‐guided strain engineering enables highly active, durable, support‐free Pt–Ni nanonetwork catalysts for the oxygen reduction reaction. Analysis of a Pt‐based catalyst dataset identifies surface compressive strain as an effective descriptor associated with enhanced activity and provided practical design guidelines.
Aparna Chitra Sudheer   +4 more
wiley   +1 more source

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