Inversely designing new materials for natural gas separation

A new machine learning strategy searches for desirable materials properties rather than building blocks, which researchers hope will lead to better materials to help spark a green economy. Artificial intelligence enabled MOF inverse design. Graphic courtesy of Dr. Zhenpeng Yao, University of Toronto Natural gas and biogas are a potential source of methane (CH4) and […]