A CNN-LSTM neural network trained on converged short-time non-Markovian stochastic Schrödinger equation data can predict long-time low-temperature quantum dynamics with far fewer trajectories.
The Journal of Physical Chemistry Letters 2022, 13, 6037–6041, PMID: 35749307
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Enhancing Open Quantum Dynamics Simulations Using Neural Network-Based Non-Markovian Stochastic Schr\"odinger Equation Method
A CNN-LSTM neural network trained on converged short-time non-Markovian stochastic Schrödinger equation data can predict long-time low-temperature quantum dynamics with far fewer trajectories.