Beijing, China (Presently Cambridge, UK)

Love_Dick_Feynman

Advanced
@ks838

I'm a PhD in quantum dissipative dynamics. My main interests include machine learning, stochastic processes and algorithms.

Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing. Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)

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Ring-Polymer-Molecular-Dynamics-in-Python-and-cpp. In this project, we give python and C++ codes for the Ring Polymer Molecular Dynamics (RMPD) to calculate the time correlation function(TCF) of coordinate <q(0)q(t)>. Two kinds of thermostat have been tested.

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HEOM. We gave derivations of Hierarchical Equations Of Motion, which describe the dissipative propagation of reduced density matrix.

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Neural-Network-nonlinear-regression-spectral-density. We use neural network to do nonlinear regression (both interpolation and extrapolation).

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RNN-LSTM-to-learn-long-time-quantum-dynamics. I use RNN-LSTM to encode the propagation information of a quantum dissipatvie system (or say, quantum process tomography).

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RNN-LSTM-text-generating-tensforflow-Shakespeare. In this project, I did character and word statistics of Shakespeare's complete works. I also used RNN-LSTM to do text generating

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