RetNeXt: Pretrained Model for MOF Adsorption Modeling

RetNeXt is a pretrained, multi-task transfer learning model designed for predicting gas adsorption properties across the vast chemical space of Metal-Organic Frameworks (MOFs). It utilizes 3D potential energy surface images and convolutional neural networks to improve sample efficiency in data-scarce adsorption modeling.