Machine Learning Predicts Metal-Organic Framework Heat Capacities: Metal-organic frameworks (MOFs) are a class of materials that contain nano-sized pores. These pores give MOFs record-breaking internal surface areas, which make them extremely versatile for a number of applications: separating petrochemicals and gases, mimicking DNA, producing hydrogen, and removing heavy metals, fluoride anions, and even gold from water are just a few examples. MOFs are the … Continue reading Machine Learning Predicts Metal-Organic Framework Heat Capacities