Results 151 to 160 of about 6,089,203 (286)

Data‐Driven Materials Science for Energy‐Sustainable Applications

open access: yesAdvanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models

open access: yesAdvanced Materials, EarlyView.
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon   +9 more
wiley   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

open access: yesAdvanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever   +6 more
wiley   +1 more source

Spatial‐Compatibility‐Assisted Molecular Intercalation in MXenes

open access: yesAdvanced Materials, EarlyView.
This work demonstrates a solvent–free NH4F–mediated route for simultaneous Al removal and molecular intercalation in MXenes. Intercalants are selected by comparing their crystallographic X, Y, and Z dimensions with the MXene interlayer spacing, establishing a spatial‐compatibility criterion that rationalizes guest–host matching and enables predictive ...
Minhao Sheng   +6 more
wiley   +1 more source

Alloying‐Controlled Tuning of Interfacial Spin‐Orbit Interaction and Magnetic Damping in Crystalline FeCo Thin Films Grown on GaAs(001)

open access: yesAdvanced Materials, EarlyView.
The interfacial spin‐orbit interaction in single‐crystalline Fe1−xCox thin films grown on GaAs(001) can be continuously tuned via alloying. Using spin‐orbit ferromagnetic resonance, the authors find that the interfacial spin‐orbit fields exhibit a nonmonotonic dependence on Co concentration, with a minimum at 20% Co. ABSTRACT The discovery of intrinsic
Hongrui Lao   +9 more
wiley   +1 more source

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