Results 141 to 150 of about 156,848 (283)

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

Advanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi, Hiba Ali, Barbara Belza, Mattia F. Palermo, Claudio Gerbaldi, Giuseppe Antonio Elia, Nagore Ortiz‐Vitoriano   +6 more
wiley   +1 more source

Expansion Microscopy Reveals the Spatial Association of Therapeutic Antibody–Receptor Complexes With Cholesterol‐Rich Membrane Domains

Angewandte Chemie, EarlyView.
We report a super‐resolution strategy that maps cholesterol‐rich membrane domains in whole, intact cells with an effective spatial resolution of ∼40 nm by combining expansion microscopy with a perfringolysin O domain 4 probe. This approach enables direct visualization of the spatial association between CD20 and CD38 complexes and cholesterol‐rich ...
Gang Wen, Nicole Seifert, Patrick Eiring, Johanna Meyer, Hannes Neuweiler, Julia Weingart, Ignacio Vega‐Vásquez, Sören Doose, Philip Kollmannsberger, Markus Sauer   +9 more
wiley   +2 more sources

Experimental investigation of mechanical properties in cryogenically damaged shale. [PDF]

Sci Rep
Zheng X, Zhang G, Wang D, Yang F, Lu M, Song L, Zhou D.   +6 more
europepmc   +1 more source

Resistant Starch Dynamics in Whole‐Grain Cereals: How Processing and Macromolecular Interactions Shape Quality and Physiological Responses

AgriFood: Journal of Agricultural Products for Food, EarlyView.
This review explores how processing and macromolecular interactions shape resistant starch dynamics in whole‐grain cereals. It highlights how these transformations influence nutritional quality, digestion kinetics, and product properties, offering insights for designing stable health‐oriented whole‐grain foods with optimized functional benefits ...
Yuewen Tan, Wenjie Zhu, Jingxin Li, Yingchao Wang, Ruge Cao   +4 more
wiley   +1 more source

Heat‐ and Light‐Directed Cycloadditions Enable a Pericyclic Cascade Reaction From a Molecular Precursor

Angewandte Chemie, EarlyView.
A multi‐stimuli‐responsive material is designed that responds to light, heat, and mechanical force through distinct chemical reaction pathways. The pathway is directed by self‐assembly and the applied stimulus. A novel pericyclic reaction cascade is also achieved, and the mechanism is supported through density functional theory calculations.
Liulei Ma, Bella Albano, Gary C. George III, Steven A. Lopez, Kristin M. Hutchins   +4 more
wiley   +2 more sources

Interpretable ensemble meta-learning for estimated ultimate recovery prediction in shale gas wells. [PDF]

Sci Rep
Huo R, Liu B, Dong H, Li P, Xiong W, Sun Y, Zhang B, Liu S.   +7 more
europepmc   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

A self-supervised GNN-Transformer framework for weak microseismic signal identification. [PDF]

Sci Rep
Liu M, Deng Z, Li Y, Zhang Z, Fu T.
europepmc   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Preparation of Ternary Solid Waste-Based Composite Cementitious Material and Its Performance in Stabilized Gravel. [PDF]

Materials (Basel)
Wang Y, Zhong L, Sun J, Ji H, Chen W, Liu Z.   +5 more
europepmc   +1 more source