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C++
License
MIT License
Created about 7 years ago
Updated almost 7 years ago

ks838

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

TeX

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We use neural network to do nonlinear regression (both interpolation and extrapolation).

Python

HEOM

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

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

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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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ks838/Ring-Polymer-Molecular-Dynamics-in-Python-and-cpp

ks838

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