Results 221 to 230 of about 11,523,542 (299)

Strong Fully Reprocessable Engineered Wood Composites

open access: yesAdvanced Materials, EarlyView.
Engineering a hyperbranched adhesive with complementary imine‐bond and hydrogen‐bond networks, combining it with wood particles to fabricate the wood composite (WP/HTP) under mild hot‐pressing conditions. The WP/HTP exhibits 100% mechanical strength recovery after three cycles of reprocessing, and the reprocessed modulus of rupture (MOR) and modulus of
Xilin Zhang   +9 more
wiley   +1 more source

Phase‐Engineered MoS2 Quantum Monolayer Catalysts

open access: yesAdvanced Materials, EarlyView.
A new type of catalyst model—phase‐engineered MoS2 quantum‐monolayer catalyst (∼0.8 nm thick, < 6 nm in the lateral size; switchable freely among metallic 1T, semiconducting 2H, and a hybrid phase of metallic‐semiconducting 1T‐2H)—is reported. It can efficiently and stably drive photochemical H2, syngas and ammonia synthesis as a catalyst or co ...
Ruijie Yang   +12 more
wiley   +1 more source

Ionic Cocrystal Programming of Spatial Ionic Organization in Carbon Nitrides Enables Highly Efficient H2O2 Photosynthesis

open access: yesAdvanced Materials, EarlyView.
Ionic cocrystal‐programmed ionic organization establishes a general strategy for electrostatic programming in polymeric photocatalysts. ABSTRACT Controlling the spatial organization of ions in polymeric photocatalysts remains a fundamental challenge for optimizing charge transport and catalytic selectivity in solar‐driven hydrogen peroxide (H2O2 ...
Anna Lo Presti   +6 more
wiley   +1 more source

High‐Mobility Chalcogenophene‐Engineered Diketopyrrolopyrrole Mixed Ionic‐Electronic Conductors With Doping Tolerance for Low‐Power Organic Electrochemical Transistors

open access: yesAdvanced Materials, EarlyView.
Chalcogen substitution emerges as a powerful strategy for designing high‐performance OMIECs. In aliphatic–glycol side chain diketopyrrolopyrrole polymers, biselenophene incorporation promotes a planar, polarizable, and doping‐tolerant quinoidal framework, enabling PDPP‐4EG‐Se2 to combine high hole mobility, large µC*, enhanced operational stability ...
Shinbee Oh   +9 more
wiley   +1 more source

Efficient in‐Plane Exciton Transport in a Discontinuous Layered Lead‐Bromide Perovskite

open access: yesAdvanced Materials, EarlyView.
A new class of two‐dimensional lead‐bromide perovskite based on monovalent 4‐aminomethylbenzoic acid cations is presented, featuring a discontinuous inorganic layer. Despite the discontinuous lattice, transient photoluminescence microscopy demonstrates efficient though strongly anisotropic in‐plane exciton transport.
Raquel Utrera‐Melero   +9 more
wiley   +1 more source

Charge Storage and Dark Photocatalysis in Multivariate Ti‐Based Metal‐Organic Frameworks

open access: yesAdvanced Materials, EarlyView.
The mixed‐linker series of the titanium‐based metal–organic framework COK‐47 enables systematic tuning of photoresponsiveness and (dark) photocatalytic activity, deepening our understanding of structure‐property‐function relationships. Tailored metal‐to‐ligand charge transfer between the secondary building units (metal‐oxo layers and organic linkers ...
Julia E. Knapp   +11 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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