Results 181 to 190 of about 4,150,880 (292)

From Low Symmetry to High Dissymmetry: Chiral Plasmonic Films of Binary and Nanobipyramid Assemblies

open access: yesAdvanced Functional Materials, EarlyView.
This work develops highly dissymmetric chiral plasmonic thin films by helically assembling gold nano bipyramids within a liquid‐crystal template. Engineering of the chiroptical response is achieved by varying particle size and geometry, as well as preparing binary assemblies.
Martyna Wasiluk   +10 more
wiley   +1 more source

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

Unlocking Ultra‐Long Cycle Stability of Li Metal Electrode by Separators Modified by Porous Red Phosphorus Nanosheets

open access: yesAdvanced Functional Materials, EarlyView.
Coating the standard polypropylene separator with a porous red phosphorous nanosheet greatly improves cycling performance in Li electrode cells. The phosphorus‐based surface chemistry deactivates electrolyte solvent decomposition and enhances the cleavage of F‐containing salt, resulting in an inorganic‐dominated electrolyte interphase (SEI) composition
Jiangpeng Wang   +9 more
wiley   +1 more source

Effect of prone position on hepato-splanchnic hemodynamics in acute lung injury [PDF]

open access: bronze, 2002
Martin Matějovič   +5 more
openalex   +1 more source

Early application of prone position for management of Covid-19 patients

open access: yesJournal of clinical anesthesia, 2020
Majid Golestanieraghi, A. Mahmoodpoor
semanticscholar   +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

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