Machine learning predicts heat capacities of MOFs
nn n 18.10.22 – Chemical engineers at EPFL have developed a machine-learning model that can accurately predict the heat capacity of the versatile metal-organic framework materials. The work shows that the overall energy costs of carbon-capture processes could be much … Continue reading →