Results 171 to 180 of about 152,702 (261)

Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures

open access: yesAdvanced Materials, EarlyView.
An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko   +10 more
wiley   +1 more source

Ultrathin Li Metal Anodes: Quantitative Design Principles and Manufacturability Across Liquid and Solid‐State Batteries

open access: yesAdvanced Materials, EarlyView.
Ultrathin lithium metal anodes (≤15 µm) offer a promising route to high‐energy‐density batteries due to their high capacity and low potential. This review presents design principles for ultrathin Li, evaluates fabrication strategies, and discusses challenges in liquid and solid‐state cells.
Cheng Wang   +9 more
wiley   +1 more source

Effects of Salinization, Oil Contamination, and Heavy Metals on Soil Biological Activity and Phytoremediants. [PDF]

open access: yesToxics
Rafikova G   +5 more
europepmc   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

Heavy metals

open access: yes, 2019
Daniel Bell, David Carroll
openaire   +2 more sources

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

open access: yesAdvanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano   +5 more
wiley   +1 more source

Silver Nanoclusters Decrease Bacterial Resistance to Heavy Metals and Antibiotics. [PDF]

open access: yesNanomaterials (Basel)
Burygin GL   +5 more
europepmc   +1 more source

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