Results 161 to 170 of about 1,907 (257)

Powder compaction of graphite and graphite/polymer mixtures

, 2005
Cunningham, Nicholas, Lefevre, Michel, Dodelet, Jean-Pol, Thomas, Yannig, Pelletier, Sylvain   +4 more
openaire   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Studies of Thermal Conductivity of Graphite Foil-Based Composite Materials. [PDF]

Materials (Basel)
Shulyak VA, Morozov NS, Minushkin RA, Gubin VY, Vakhrushin DV, Gracheva AV, Nigmatullin IK, Chebotarev SN, Avdeev VV.   +8 more
europepmc   +1 more source

Sustainable Carbon Fibers Enable Stable Long‐Term Lithium Metal Deposition for Prospective Zero‐Excess Lithium Metal Batteries

Advanced Energy Materials, EarlyView.
This work presents lightweight, lignin‐derived carbon fiber current collectors that enable controlled lithium deposition. Structural defects and intermediate‐sized pores stabilize pre‐nucleation quasi‐metallic lithium clusters, promoting uniform lithium plating and stripping.
Samantha L. S. Southern, Jonathon Cottom, Jana B. Fritzke, Emma N. Antonio, Zhenyu Guo, Bhavini Patel, Romain Tort, Ifan E. L. Stephens, Camilla Di Mino, Clare P. Grey, Rhodri Jervis, Emilia Olsson, Heather Au, Maria‐Magdalena Titirici   +13 more
wiley   +1 more source

Anodic dissolution mechanisms of iron in bentonite slurries. [PDF]

Npj Mater Degrad
Kulkarni PV, Igual-Munoz A, Sallese JM, Mischler S.   +3 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Preparation and performance of composite agent with anti-seepage and friction reducing for pipe jacking in water-rich sand stratum. [PDF]

PLoS One
Gu H, Wu K, Zhang P, Yuan J, Zhang X, Shi K.   +5 more
europepmc   +1 more source

Investigation Into the Electrochemical Performance of Micron‐ and Nanosized Tin in Diglyme and Carbonate Electrolytes in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
This study compares Sn particles of different sizes in NIBs using carbonate‐ and diglyme‐based electrolytes. Diglyme electrolytes enable stable cycling despite large volume changes, while carbonate electrolytes degrade rapidly, especially with nanoparticles.
Chinnasamy Murugesan, Aaron B. Naden, Paul A. Connor, A. Robert Armstrong, John T. S. Irvine   +4 more
wiley   +1 more source

Assessing graphite schist as a supplementary cementitious material in concrete for antifungal activity, strength, hydration, microstructure, and radiation shielding. [PDF]

Sci Rep
Serry M, Zayed AM, Tagyan AI, Ramadan W, Metwally BS, Rashad AM, Shendy H, Abdelgwad AMA, Abdelaziz MH, El-Khayatt AM, Kansouh WA, Shahien MG, Masoud MA.   +12 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source