AZOM

An Overview of Machine Learning Applied to High Entropy Alloys

Understanding defect dynamics and evolution in high entropy alloys (HEAs) s is complicated due to the wide and intricate configurational space in HEAs. Machine learning techniques have significant ...
Case Western Reserve University

Data Science and Machine Learning Applied to Silicon Photovoltaic Solar Panels: Doing Energy Science at Scale with Time-series and Image Datasets

January 23rd 4:00 PM - 5:00 PM ...
EurekAlert!

Machine learning unlocks the power of biochar: A game-changer for dye removal

In a remarkable stride towards environmental sustainability, researchers at the Department of Biotechnology and Medical ...

Machine learning beats classical method in predicting cosmic ray radiation near Earth

Cosmic rays are high-energy particles that constantly bombard Earth from space and are influenced by the sun's magnetic activity. When the sun is active, fewer of these particles reach Earth; when the ...
Nasdaq

Lucent, Inc., A Wholly Owned Subsidiary of Tipmefast, Inc., Details Its Use of AI / Machine Learning in the Sustainable and Energy Storage Space

Santa Ana, CA, Sept. 25, 2024 (GLOBE NEWSWIRE) -- Tipmefast, Inc. (OTC.: TMEF) today announced that Lucent, Inc., its wholly-owned subsidiary operating in sustainable energy storage, will be ...
The Conversation

AI could help overcome the hurdles to making nuclear fusion a practical energy source

Tan Sui would like to acknowledge funding from the UK's Royal Academy of Engineering under the Industrial Fellowships programme. The pursuit of nuclear fusion as a clean, sustainable energy source ...
Booth School of Business

Applied Machine Learning Pre-doctoral Research Professional Application

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...