Results 141 to 150 of about 176,282 (219)

Bridging Biosensing and Hardware‐Level Data Security With a Conjugated Radical Polymer

open access: yesAdvanced Materials, EarlyView.
A conjugated radical polymer provides two complementary functions within a common material platform: sensitive dopamine biosensing and device‐specific stochastic electrical responses for security. The work demonstrates a materials‐based approach for combining bioelectronic signal acquisition with hardware‐level authentication while maintaining the ...
Hoyeon Lee   +9 more
wiley   +1 more source

Giant Anisotropic Spin Absorption in Chiral Hybrid Semiconductors

open access: yesAdvanced Materials, EarlyView.
Researchers uncover that chiral hybrid organic–inorganic semiconductors absorb spin differently depending on its polarization direction. This anisotropic spin absorption is primarily driven by the local symmetry breaking within the layered structure.
Cong Yang   +12 more
wiley   +1 more source

1T‐to‐2H Phase Evolution During Epitaxial Growth of Transition Metal Dichalcogenides

open access: yesAdvanced Materials, EarlyView.
During MOCVD growth of MoS2 and WSe2, a transient metallic 1T phase emerges in early, edge‐rich, chalcogen‐deficient domains and declines as the films ultimately coalesce as 2H material. Together, experiments and ReaxFF simulations link domain size, edge stoichiometry, and vacancies to this evolution.
Andrew R. Graves   +8 more
wiley   +1 more source

Highly Sensitive Broadband Photodetectors Based on Donor–Acceptor 2D Conjugated Coordination Polymers

open access: yesAdvanced Materials, EarlyView.
Donor–acceptor molecular design and chemical vapor deposition growth enable the two‐dimensional nickel‐tetraaminobenzoquinone films with strong broadband absorption and efficient charge separation. The resulting photodetectors exhibit a structured broadband response with a high responsivity of ∼3.1 A W−1 and a response time of ∼170 µs, which surpasses ...
Yunxu Chen   +14 more
wiley   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

open access: yesAdvanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng   +24 more
wiley   +1 more source

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