One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

This new algorithm differs from the current machine learning methods in physics. Qin’s research blazes a new trail in applied AI for physics.

The novel algorithm was presented in the study “ Machine learning for monitoring and classification in inverters from solar photovoltaic energy plants,” published in Compass in Solar.

This study illustrates the effectiveness of ML algorithms in precisely estimating IR drop and optimizing ASIC sign-off. Utilizing ML models leads to expedited predictions, reducing calculation time ...