Energy applications of ionic liquids: recent developments and future prospects

T Zhou, C Gui, L Sun, Y Hu, H Lyu, Z Wang… - Chemical …, 2023 - ACS Publications
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 …

Enhancing safety in lithium-ion batteries with additive-based liquid electrolytes: A critical review

RI Pushparaj, AR Kumar, G Xu - Journal of Energy Storage, 2023 - Elsevier
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 …

Metal–air batteries for powering robots

D Zhong, K Wang, Y Zuo, M Wei, J **ong… - Journal of Materials …, 2023 - pubs.rsc.org
The development of advanced unmanned robots is of great significance to promote scientific
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

DA Winkler, AE Hughes, C Özkan, A Mol… - Progress in Materials …, 2024 - Elsevier
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 …

Building smarter aqueous batteries

C Deng, Y Li, J Huang - Small Methods, 2024 - Wiley Online Library
Amidst the global trend of advancing renewable energies toward carbon neutrality, energy
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 …

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 …

Chemoinformatics for corrosion science: Data‐driven modeling of corrosion inhibition by organic molecules

I Baskin, Y Ein‐Eli - Molecular Informatics, 2024 - Wiley Online Library
This paper reviews the application of machine learning to the inhibition of corrosion by
organic molecules. The methodologies considered include quantitative structure‐property …

Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques

X Li, B Vaghefinazari, T Würger, SV Lamaka… - npj Materials …, 2023 - nature.com
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 …

Machine‐Learned Modeling for Accelerating Organic Solvent Design in Metal‐Ion Batteries

W Sukmas, J Qin, R Chanajaree - Advanced Theory and …, 2024 - Wiley Online Library
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 …