Electric vehicles (EVs) have emerged as a promising trend for future development. Serving as the core energy source for EVs, lithium-ion batteries offer advantages. Accurate SoC estimation is vital ...
Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that the new tool makes the models more accurate at both the global and ...
Identifying optimal catalyst materials for specific reactions is crucial to advance energy storage technologies and sustainable chemical processes. To screen catalysts, scientists must understand ...
Tech Xplore on MSN
New AI-based technology offers real-time electric vehicle state estimation for safer driving
A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has ...
When experiments are impractical, density functional theory (DFT) calculations can give researchers accurate approximations of chemical properties. The mathematical equations that underpin the ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...
Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...
13don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based ...
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