Results 161 to 170 of about 12,102,780 (375)

On properties of binary random numbers [PDF]

open access: yesApplications of Mathematics, 1974
openaire   +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

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

Extremal Binary PFAs with Small Number of States [PDF]

open access: green, 2022
Stijn Cambie, Michiel de Bondt, Henk Don
openalex   +1 more source

Versatile Cell Penetrating Peptide for Multimodal CRISPR Gene Editing in Primary Stem Cells

open access: yesAdvanced Functional Materials, EarlyView.
CRISPR machinery in diverse molecular formats (DNA, RNA, and ribonucleic protein) is complexed into nanoparticles with the cell‐friendly arginine‐alanine‐leucine‐alanine (RALA) cell‐penetrating peptide. Nanoparticles are delivered to primary mesenchymal stem cells ex vivo or locally in vivo to facilitate multimodal CRISPR gene editing. This RALA‐CRISPR
Joshua P. Graham   +9 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

Home - About - Disclaimer - Privacy