Results 301 to 310 of about 1,250,492 (368)

3D Resolved Computational Modeling to Simulate the Electrolyte Wetting of a Lithium‐Ion Battery Cell with 18650 Format

Batteries &Supercaps, EarlyView.
The electrolyte wetting of a lithium ion battery cylindrical cell is explored in this study with a 3D resolved continuum model that considers the exact spiral geometry found in commercial 18650 cells. The jelly roll architecture and capillary pressure are shown to be key determinants of the wetting degree and electrolyte distribution within the cell ...
Emmanuel Yerumoh, Imelda Cardenas‐Sierra, Francisco Fernandez, Alejandro A. Franco   +3 more
wiley   +1 more source

Neutron Self-Shielding in a Simple Plane Lattice

, 1958
J. Bengston
openalex   +2 more sources

Reducing formaldehyde emissions and enhancing performance of particleboards through the incorporation of activated carbon produced from Scots pine wood residues

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Wood‐based composite boards present a problem due to formaldehyde emissions from engineered particleboard, which pose health and environmental risks. This study explored the production of activated carbon (AC) from Scots pine (Pinus sylvestris) wood residues using phosphoric acid (H3PO4) as a chemical activator.
Mehmet Emin Ergun, Filiz Koyuncu, Abdullah Istek, İsmail Özlüsoylu   +3 more
wiley   +1 more source

Symmetrization of Strong Hydrogen Bond under High Pressure in Bihydroxide-Ion-Containing NaCu₂(SO₄)₂·H₃O₂ Revealed by Experimental Charge Density, Single-Crystal Electron Diffraction, and Neutron Diffraction Studies. [PDF]

J Am Chem Soc
Rejnhardt P, Gajda R, Woińska M, Parafiniuk J, Giester G, Miletich R, Wu Y, Poręba T, Mezouar M, Sutuła S, Góral T, Dera P, Woźniak K.   +12 more
europepmc   +1 more source

Insights Into Dendritic Growth Mechanisms in Batteries: A Combined Machine Learning and Computational Study

Battery Energy, EarlyView.
Dendritic growth in batteries presents challenges to both performance and safety. In this study, we have successfully developed a two‐dimensional artificial neural network model that accurately identifies consistent growth modes observed in experimental data.
Zirui Zhao, Junchao Xia, Si Wu, Xiaoke Wang, Guanping Xu, Yinghao Zhu, Jing Sun, Hai‐Feng Li   +7 more
wiley   +1 more source

Structural Fluctuations at Nanoscale and Cooperative Molecular Dynamics in Bulk Water. [PDF]

J Phys Chem Lett
Russina M, Günther G, Farago B, Babcock E, Salhi Z, Ioffe A, Mezei F.   +6 more
europepmc   +1 more source

Optimizing Hard Carbon Anodes for Sodium‐Ion Batteries: Effects of Pre‐Treatment and Post‐Treatment Techniques

Battery Energy, EarlyView.
This review summarizes various pre‐ and post‐treatment methods used to enhance hard carbon as an anode material for sodium‐ion batteries. It compares their advantages, limitations, and impact on electrochemical performance, while also highlighting future directions for scalable, high‐performance hard carbon development.
Muetaz Mohammed, Mohammad M. Hossain, Md Abdullah Al Bari   +2 more
wiley   +1 more source

L‑type amino acid transporter 1 in enhancing boron neutron capture therapy: Mechanisms, challenges and future directions (Review). [PDF]

Int J Mol Med
Zheng X, Pan J, Lin D, Shao W.
europepmc   +1 more source

Role of Gas Dropouts in CO₂ Methanation over MOF‐Derived Ni₃Fe@C Catalysts: An In Situ XAS and PDF Study

ChemCatChem, EarlyView.
A Fe2NiO phase, identified by both in situ pair distribution function and X‐ray absorption spectroscopy, stabilizes the conversion and product selectivity in the CO2 methanation reaction over a bimetallic FeNi catalyst derived from MOF decomposition. Abstract With industrial chemical processes facing the challenges of renewable energy supply, catalysts
Fabio Manzoni, Sven Strübbe, Leif Rohrbach, Maxime Boniface, Thomas Lunkenbein, Roland Schoch, Wolfgang Kleist, Matthias Bauer, Mirijam Zobel   +8 more
wiley   +1 more source