Resources
Lecture notes, courses, and teaching code in chemistry, physics, and AI.
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Time-Dependent Quantum Mechanics and Spectroscopy
Quantum dynamics, correlation functions, response theory, and molecular spectra.
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Greater Boston Area Theoretical Chemistry Summer School
Electronic structure, quantum dynamics, statistical mechanics, and biosimulation.
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Quantum Chemistry & Dynamics
Courses, notes, and teaching codes on electronic structure and quantum dynamics.
Courses — Yuan-Chung Cheng Notes — Zhendong Li Teaching codes — Peng Bao
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Machine Learning & AI
Chemistry and physics tutorials, atomistic modeling recipes, and modern AI systems.
MLChem — Xuhui Huang ML for physicists — Lei Wang Atomistic Cookbook — COSMO / EPFL AI systems — Juncheng Yang
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MPS / DMRG learning notes
Matrix product states and DMRG, from theory to small Python implementations.
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Quantum Learning Theory
Quantum states, many-body learning, classical shadows, and quantum advantage.