Tech Xplore on MSN

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 ...
Scientific Research Publishing

Integrated Zero-Phase and LMS Adaptive Filtering for Improving Heartbeat Signal Processing ()

Signal-to-Noise Ratio (SNR) Improvement: Studies show significant SNR improvements, with zero-phase filtering alone ...

Machine learning and quantum chemistry unite to simulate catalyst dynamics

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.

AI-driven system blends literature, experiments and robotics to discover new materials

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.
American Institute of Physics

Opening the black box of machine learning-controlled plasma treatments

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 ...
AlphaGalileo

CD Lab at TU Graz Incorporates Physics in Machine Learning

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...
C&EN

Machine learning helps density functional theory model molecules accurately

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...