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Researchers at EPFL have found a way to study water in "no man's land," a subzero temperature range where water crystallizes rapidly. Historically, the
Researchers Use Machine Learning To Forcast Amine Emissions From A Carbon Capture Plant
Global warming is partly due to the vast amount of carbon dioxide that we release, mostly from power generation and industrial processes, such as making steel and cement. For a while now, chemical ...
The precise control of micro-mechanical oscillators is fundamental to many contemporary technologies, from sensing and timing to radiofrequency filters in smartphones.
Scientists at EPFL and Heriot-Watt University have developed a machine learning approach to accurately predict potentially harmful amine emissions fro....