Results 51 to 60 of about 5,050,667 (307)

as anode materials for Li-ion batteries [PDF]

open access: yes, 2023
Molybdenum carbides, oxides, and mixed anionic carbide–nitride–oxides Mo(C,N,O)x are potential anode materials for lithium-ion batteries. Here we present the preparation of hybrid inorganic–organic precursors by a precipitation reaction of ammonium ...
Arnold, Stefanie   +13 more
core   +1 more source

Checking graphite and stainless anodes with an experimental model of marine microbial fuel cell. [PDF]

open access: yes, 2008
A procedure was proposed to mimic marine microbial fuel cell (MFC) in liquid phase. A graphite anode and a stainless steel cathode which have been proven, separately, to be efficient in MFC were investigated.
Basséguy, Régine   +11 more
core   +1 more source

Synthesis, Characterization and Evaluation of the Application of CoZn Nanostructures as Anode Materials

open access: yesBatteries, 2023
This study aims to obtain CoZn nanostructures using the electrochemical deposition method and to estimate the applicability of the resulting nanostructures as anode materials for lithium-ion batteries.
Ainur M. Zikirina   +4 more
doaj   +1 more source

Solid Oxide Fuel Cell Anode Materials for Direct Hydrocarbon Utilization

open access: yes, 2012
Solid oxide fuel cells (SOFC) are highly efficient energy conversion devices with the advantage of directly utilizing hydrocarbon fuels. Starting with a short introduction about the fuel challenges and early achievements in this field, this review paper ...
Ge, Xiao-Ming   +9 more
core   +1 more source

Organic Anode Materials for Lithium-Ion Batteries: Recent Progress and Challenges

open access: yes, 2022
In the search for novel anode materials for lithium-ion batteries (LIBs), organic electrode materials have recently attracted substantial attention and seem to be the next preferred candidates for use as high-performance anode materials in rechargeable ...
Pavel Novikov   +4 more
core   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

Effect of Chromium Addition and Regimes during Electrospark Alloying with Aluminum Matrix Anode Material of Steel 45

open access: yesИнженерные технологии и системы, 2021
Introduction. Electrospark alloying is used to produce hardening coatings. Anodic materials with unique properties include metal matrix composites based on aluminum.
Sergey V. Nikolenko   +4 more
doaj   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Revisiting Intercalation Anode Materials for Potassium-Ion Batteries. [PDF]

open access: yesMaterials (Basel)
Potassium-ion batteries (KIBs) have attracted significant attention in recent years as a result of the urgent necessity to develop sustainable, low-cost batteries based on non-critical raw materials that are competitive with market-available lithium-ion ...
Piernas-Muñoz MJ, Zarrabeitia M.
europepmc   +2 more sources

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

open access: yesAdvanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer   +4 more
wiley   +1 more source

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