Results 191 to 200 of about 2,372,317 (320)

The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

open access: yesAdvanced Materials, EarlyView.
This review explores the transformative role of AI in biosensor technology and provides a holistic interdisciplinary perspective that covers a broader scope of AI‐enabled biosensor technologies across various sectors including healthcare, environmental monitoring, food safety, and agriculture. It also highlights the important role of novel materials in
Tuğba Akkaş   +4 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Biphasic Ni‐MXene Quantum‐Confined Nanostructures: A Versatile Janus Platform for Advanced Energy Storage and Catalytic Oxidations

open access: yesAdvanced Materials, EarlyView.
A biphasic Ni‐MXene quantum‐confined nanostructure (Ni‐MJQD) serves as a Janus platform, simultaneously achieving high‐performance energy storage and efficient catalytic oxidation. The unique architecture enables superior energy storage performance and selective benzyl alcohol oxidation‐symbolizing “one stone, two birds” for sustainable energy and ...
Lagnamayee Mohapatra   +5 more
wiley   +1 more source

Bringing Attomolar Detection to the Point‐of‐Care with Nanopatterned DNA Origami Nanoantennas

open access: yesAdvanced Materials, EarlyView.
Single DNA molecules are captured within the hotspots of DNA origami NanoAntennas arranged on a chip surface. Fluorescence is amplified, enabling direct detection on a point‐of‐care‐compatible imaging setup (visualized as bright signals against a dark background).
Renukka Yaadav   +13 more
wiley   +1 more source

On the Coverage Probability and SpectralEfficiency in LoRa Networks

open access: green, 2020
Lam-Thanh Tu   +2 more
openalex  

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