Results 171 to 180 of about 4,409,486 (250)

Counter‐Halide‐Directed Ion‐Pair Passivation Enables High‐Performance Wide‐Bandgap Perovskites for Perovskite/Cu(In,Ga)Se2 Tandem Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Counter‐halide engineering of fluorobenzylammonium surface passivators reveals bromide as the optimal partner for wide‐bandgap perovskites. FBz–Br effectively stabilizes halide‐vacancy‐related defects and undercoordinated Pb sites, suppresses non‐radiative recombination, and enhances surface hydrophobicity and thermal stability.
Huyen Tran   +17 more
wiley   +1 more source

Calendering‐Dependent Electrochemical and Cost‐Energy Tradeoffs in Layered – Olivine Blend Cathodes

open access: yesAdvanced Energy Materials, EarlyView.
Blends comprised of LiNi0.9Mn0.05Co0.05O2 (NMC) and LiMn0.7Fe0.3PO4 (LMFP) are investigated to assess the performance – cost tradeoffs. Their rate‐capability benefit is retained only under uncalendered‐to‐moderately calendered states. Although blends reduce voltage decay and improve energy retention, they do not deliver measureable improvement in ...
Huyen T. K. Nguyen, Arumugam Manthiram
wiley   +1 more source

Molecular Preorganization Unlocks Reversible Solid‐State Photoconversion in Dianthrylnaphthalene‐Based Molecular Solar Thermal Systems

open access: yesAngewandte Chemie, EarlyView.
Three dianthrylnaphthalenes were synthesized and investigated for molecular solar thermal (MOST) energy storage. Naphthyl‐based bridging units preorganize the two anthracene moieties face‐to‐face, leading to improved photoisomerization quantum yield (QY) and unlocked bidirectional photoswitching in the solid state compared to previously reported ortho ...
Nicolò Baggi   +10 more
wiley   +2 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Dimensional Reduction of Transition Metal Dichalcogenides by Oxide Insertion: Quasi‐1D Oxychalcogenide Semiconductors

open access: yesAngewandte Chemie, EarlyView.
Molecular Scissors: Oxide insertion slices the layers of MQ2 transition metal dichalcogenides (TMDs) into one‐dimensional [M3Q6] nanoribbons, giving a new family of A2Hf3Q6O (A = K, Rb, Cs; Q = S, Se) oxychalcogenides. The heteroanion‐driven dimensional reduction yields direct‐gap semiconductors with optical absorption that is tunable across the ...
Ayat Tassanov   +6 more
wiley   +2 more sources

From Acute Carditis, Rheumatic Carditis, and Morphologic Cardiac Reactions to Allergic Angina, Allergic Myocardial Infarction, and Kounis Syndrome: A Multidisciplinary and Multisystem Disease. [PDF]

open access: yesJ Cardiovasc Dev Dis
Kounis NG   +17 more
europepmc   +1 more source

A Multistrategy AI‐Assisted Consensus Screening Pipeline for Discovery of Candidate p53 Monomer Binders

open access: yesAdvanced Intelligent Discovery, EarlyView.
An ultra‐fast small‐sample AI consensus pipeline combines co‐folding and docking to target structure‐lacking p53 monomers. Its optimal mini‐protein binder shows robust interfacial affinity and promising druggability, supplying unprecedented antitumor p53 templates.
Ningyao Li   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy