This project is still in the early stages of development. The API is subject to change, and some features may not be fully implemented. I appreciate your patience and understanding as work to improve ...

Typical quests in materials science, as for instance finding stable compositions of an alloy and its properties, or determining the conditions for molecular adsorption on a surface, involve ...

Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...

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Various pre-trained deep learning models for the segmentation of bioimages have been made available as developer-to-end-user solutions. They are optimized for ease of use and usually require neither ...

Deep learning has been transformative in many fields, motivating the emergence of various optical computing architectures. Diffractive optical network is a recently introduced optical computing ...