📝 We are a theory-driven experimentation group using first-principles methods, machine learning, and advanced characterization to design and understand quantum materials.
We combine first-principles methods and machine learning to discover quantum materials and build the computational tools driving the future of materials science
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JoeyyHuang/QR2-code
JoeyyHuang/QR2-code PublicAn open-source code to compute the Resonant Raman spectrum including single, double and defect-induced double resonant Raman, based on first-principles calculation
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HyMLRaman
HyMLRaman PublicHybrid Machine Learning-Assisted Raman Spectroscopy with Generative Feature Augmentation for Pharmaceutical Identification
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