Energy applications of ionic liquids: recent developments and future prospects
Ionic liquids (ILs) consisting entirely of ions exhibit many fascinating and tunable properties,
making them promising functional materials for a large number of energy-related …
making them promising functional materials for a large number of energy-related …
Enhancing safety in lithium-ion batteries with additive-based liquid electrolytes: A critical review
Lithium-ion batteries are widely used in various applications due to their high energy
density, columbic efficiency, and scalability. While their safety mechanisms, such as heat …
density, columbic efficiency, and scalability. While their safety mechanisms, such as heat …
Metal–air batteries for powering robots
The development of advanced unmanned robots is of great significance to promote scientific
progress and innovation, expand application fields, and improve efficiency and safety …
progress and innovation, expand application fields, and improve efficiency and safety …
[HTML][HTML] Impact of inhibition mechanisms, automation, and computational models on the discovery of organic corrosion inhibitors
The targeted removal of efficient but toxic corrosion inhibitors based on hexavalent
chromium has provided an impetus for discovery of new, more benign organic compounds …
chromium has provided an impetus for discovery of new, more benign organic compounds …
Building smarter aqueous batteries
Amidst the global trend of advancing renewable energies toward carbon neutrality, energy
storage becomes increasingly critical due to the intermittency of renewables. As an …
storage becomes increasingly critical due to the intermittency of renewables. As an …
[HTML][HTML] Recent progress of electrolytes for Mg-air batteries: A review
S Li, X Li, C Zhao, H Liang, K Liu, X Du, W Du - Journal of Magnesium and …, 2024 - Elsevier
Mg-air batteries, with their high theoretical energy density, low cost, and eco-friendliness,
offer broad application prospects. Nonetheless, challenges such as corrosion, uneven …
offer broad application prospects. Nonetheless, challenges such as corrosion, uneven …
Holistic optimization of lithium-ion battery negative electrode formulation using a combination of theory of mixtures, Box-Behnken matrix, multi-variant analysis and …
I Urdampilleta, M Bengoechea, I de Meatza… - Chemical Engineering …, 2023 - Elsevier
The battery R&D process should be accelerated towards a faster transition to a greener
economy. However, typical battery electrode/electrolyte optimization process is still based …
economy. However, typical battery electrode/electrolyte optimization process is still based …
Chemoinformatics for corrosion science: Data‐driven modeling of corrosion inhibition by organic molecules
This paper reviews the application of machine learning to the inhibition of corrosion by
organic molecules. The methodologies considered include quantitative structure‐property …
organic molecules. The methodologies considered include quantitative structure‐property …
Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques
Selecting effective corrosion inhibitors from the vast chemical space is not a trivial task, as it
is essentially infinite. Fortunately, machine learning techniques have shown great potential …
is essentially infinite. Fortunately, machine learning techniques have shown great potential …
Machine‐Learned Modeling for Accelerating Organic Solvent Design in Metal‐Ion Batteries
Organic solvents offer a promising avenue for enhancing metal‐ion battery performance, for
instance, in suppressing dendritic formation. To expedite the discovery of optimal electrolyte …
instance, in suppressing dendritic formation. To expedite the discovery of optimal electrolyte …