Package containing several workflows to compute molecular properties for nanomaterials
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Updated
Jun 28, 2024 - Python
Package containing several workflows to compute molecular properties for nanomaterials
Collection of ASE (Atomic Simulation Environment) Scripts for Bimetallic Nanoparticles
Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning
Computation and filtering of molecular properties
Python web application developed for nanomaterials course project
Characterization of a single meta-atom pillar under local phase approximation demonstrating high transmission and linear phase shift.
HyCAN is an open-source platform that accelerates clean hydrogen energy research. It combines machine learning, bioinformatics, and advanced materials science to optimize catalysts, simulate hydrogen production, and explore nanomaterials.
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