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Building better batteries with amorphous materials and machine learning
Gopalakrishnan and his team have studied how to boost the movement of ions in magnesium batteries, which can have a higher ...
Signal-to-Noise Ratio (SNR) Improvement: Studies show significant SNR improvements, with zero-phase filtering alone ...
Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from pharmaceuticals to plastics, rely on catalytic processes at some stage of production.
Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.
Tech Xplore on MSN
Autobot platform uses machine learning to rapidly find best ways to make advanced materials
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...
Artificial intelligence has advanced at an extraordinary pace over the past decade. Faster GPUs, larger clusters, and revolutionary architectures have unlocked breakthroughs that once seemed ...
According to the "Gen Z" protest group, Kulman Ghising, the former CEO of the Nepal Electricity Authority (NEA), has emerged as the front-runner for interim prime minister following Prime Minister KP ...
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