DESignSolvents: an open platform for the search and prediction of the physicochemical properties of deep eutectic solvents
V Odegova, A Lavrinenko, T Rakhmanov, G Sysuev… - Green …, 2024 - pubs.rsc.org
The use of organic solvents in various industries poses significant environmental risks. Deep
eutectic solvents (DESs) have emerged as a promising alternative due to their …
eutectic solvents (DESs) have emerged as a promising alternative due to their …
State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches
A Haraz, K Abualsaud, A Massoud - IEEE Access, 2024 - ieeexplore.ieee.org
Accurate state-of-charge (SoC) and state-of-health (SoH) estimation are crucial for
optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and …
optimizing electric vehicle (EV) performance and enhancing the battery lifetime, safety, and …
High-Precision Machine Learning for Predicting Latent Heat in Diverse Multicomponent Molten Salts
X Wang, Y Tao, G Dong, S Wang, Q Miao… - Available at SSRN … - papers.ssrn.com
Molten salts in phase change materials offer significant advantages, including high thermal
storage density, a wide operational temperature range, and low cost. However, the …
storage density, a wide operational temperature range, and low cost. However, the …