Results 191 to 200 of about 15,445 (293)

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

Investigation into the Feasibility of a Synergistic Photocatalytic Degradation Process for Fracturing Flowback Fluid Streams Utilizing O₃ and Ti/Ni Composite Materials. [PDF]

Molecules
Yang H, Gong Y, Chen X, Li R, Chen Y, Li M, Tang X.   +6 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

Mathematical model of permeability evolution of liquid CO₂ pressurized coal. [PDF]

Sci Rep
Li C, Cheng Q, Bai G, Zhou X, Zhang F, Zhang W.   +5 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Creep acoustic emission characteristics and failure precursor identification of double-fissured red sandstone under freeze-thaw action. [PDF]

Sci Rep
Yang D, Duan X, Cheng K, Xie L, Jing H, Song Y, Ren J.   +6 more
europepmc   +1 more source

Fracturing Regulation Applied [PDF]

, 2012
Wiseman, Hannah
core   +2 more sources

MOFs as New Catalytic Platform for Covalent Adaptable Networks: Catalysis Meets Reinforcement

Angewandte Chemie International Edition, EarlyView.
A novel heterogeneous catalytic platform for covalent adaptable networks (CANs) is introduced by immobilizing bases of low molecular weight on metal‐organic frameworks (MOFs). The obtained catalyst UiO‐TBD benefits from the high loading capacity of the MOF and demonstrates a higher thermal stability relative to free TBD.
Simon Renner, Roman Korotkov, Inge Mühlbacher, Markus Alfreider, Daniel Kiener, Johannes Liebhart, Oskar Paris, Christian Slugovc, Sandra Schlögl, Elisabeth Rossegger   +9 more
wiley   +1 more source

Preparation and Performance Evaluation of Temperature- and Salt-Resistant Hydrophobically Associated Polymer Fracturing Fluids. [PDF]

ACS Omega
Li X, Pan C, Chen H, Zhang Z, Ning K.
europepmc   +1 more source

Photothermal Interfacial Evaporation Characteristics of PVA/SA–CNT–Borax Hydrogel

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The desalination of seawater has demonstrated significant potential to use solar‐driven interfacial evaporation technologies due to its sustainability, outstanding productivity, and kindness to the environment. In this paper, a hydrogel interfacial evaporator was produced, with PVA and SA as the base materials. The addition of carbon nanotubes
Jia Lian, Xin Sun, Cheng Xue, Cong Qi
wiley   +1 more source