Results 241 to 250 of about 1,395,787 (296)

Engineering Strategies for 2D Layered Tin Halide Perovskite Field‐Effect Transistors

open access: yesAdvanced Functional Materials, EarlyView.
2D halide perovskites are promising candidates for field‐effect transistor (FET) applications due to their high stability and suppressed ion migration in the presence of bulky organic spacers. This review systematically summarizes the optimization engineering strategies of 2D perovskite FETs and future challenges, which provide guidance for developing ...
Shuanglong Wang   +4 more
wiley   +1 more source

Faecal amino acids stability: investigating optimal sampling conditions for analysis. [PDF]

open access: yesMetabolomics
Opperman RCM   +5 more
europepmc   +1 more source

Ionic Metal Poly(heptazine Imides) and Single‐Atoms Interplay: Engineered Stability and Performance for Photocatalysis, Photoelectrocatalysis and Organic Synthesis

open access: yesAdvanced Functional Materials, EarlyView.
Poly(heptazine) imides (PHIs), a crystalline carbon nitride subclass, intercalate metals to deliver high stability, tunable electronics, and efficient charge separation. These features enable solar‐driven applications such as hydrogen evolution, CO₂ reduction, and organic synthesis.
Gabriel A. A. Diab   +6 more
wiley   +1 more source

Fast Neutron Detector Based on Hybrid 2D Perovskite Thin Films

open access: yesAdvanced Functional Materials, EarlyView.
This work presents the direct detection of fast neutrons using flexible hybrid 2D perovskite (PEA2PbBr4) thin‐film detectors. Thanks to their high low‐Z elements content and good charge transport, these materials enable efficient neutron detection. The thin film configuration allowed the operation at low voltage, and offer scalability, flexibility, and
Ilaria Fratelli   +11 more
wiley   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

open access: yesAdvanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer   +10 more
wiley   +1 more source

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

open access: yesAdvanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida   +16 more
wiley   +1 more source

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