Results 191 to 200 of about 42,556 (266)

High‐Performance Elastomeric Lithium Metal Anodes Enabled by a Lithiophilic Monolayer‐Assembled Nano‐Crumpled Micro‐Concave Architecture

Advanced Energy Materials, EarlyView.
We report an elastomeric lithium metal anode integrating hierarchical nano–micro architectures with uniformly assembled lithiophilic amine functionalities. This design enables synergistic stress and interfacial regulation, effectively suppresses dendritic growth, and ensures stable cycling, highlighting elastomeric anodes as a promising platform for ...
Sungha Choi, Donghyeon Nam, Geon Choi, Seonho Lee, Seungeun Paik, Yongkwon Song, Seungyeop Choi, Jaejin Lim, Woojae Chang, Jeong Gon Son, Daegun Kim, Giwon Lee, Sungjun Park, Yong Min Lee, Seoin Back, Yongmin Ko, Jinhan Cho   +16 more
wiley   +1 more source

A Multi-Network Approach Identifies Proteins Related to Dendritic Spines in Alzheimer's Disease. [PDF]

eNeuro
Hobby EL, Weber AJ, Liu E, Hurst C, Greathouse KM, Gaiteri C, Seyfried NT, Herskowitz JH.   +7 more
europepmc   +1 more source

A Closed‐Loop Direct Recycling Process for Prussian White From Scrap and End‐of‐Life Sodium‐Ion Batteries

Advanced Energy Materials, EarlyView.
A closed‐loop direct recycling route for Prussian White sodium‐ion battery cathodes is demonstrated. Ice‐stripped scrap and end‐of‐life electrodes are regenerated via low‐temperature aqueous resodiation (80°C), restoring sodium content, Fe2+ redox chemistry, and structural integrity.
Subha Samanta, Bowen Liu, Dongrui Xie, Joel Cornelio, Wilgner Lima da Silva, Manoj Mayaji Ovhal, Anton Zorin, Peter R. Slater, Emma Kendrick   +8 more
wiley   +1 more source

A PKA-selective inhibitor captures an open but more ordered conformation of the PKA catalytic subunit. [PDF]

Proc Natl Acad Sci U S A
Bruystens JGH, Wu J, Tan G, Bertinetti D, Zenn HM, Zimmermann B, Chen L, Köckenberger J, Massaro F, Sankaran B, Walters MS, Veglia G, Ferguson FM, Herberg FW, Taylor SS.   +14 more
europepmc   +1 more source

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Nitric oxide inhibition ameliorates cortical proteomic changes in the Cntnap2^-/- and Shank3^Δ4-22 mouse models of autism spectrum disorder. [PDF]

Mol Autism
Bazbaz W, Kartawy M, Khaliulin I, Amal H.   +3 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Integrating Structures and Biology: Cellular and Molecular Interactions with Functionally Graded Spinal Cage Designs. [PDF]

Int J Mol Sci
Cheng YH, Fu AL, Gaff J, Vadala G, Jain A, Tavakoli J.   +5 more
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source