Dear i-pi developers,
I performed machine learning potential accelerated (32 beads) PIMD simulations for liquid water with time-step values of 0.5 fs, 0.25 fs, and 0.1 fs, respectively, based on the enclosed input file, using the pile_g thermostat with a time constant of 100 fs. The total simulation times were 100 ps, 100 ps, and 50 ps, respectively.
I found that the average quantum kinetic energy values derived from these three simulations differed considerably. For H, the values from the simulations with time-step values of 0.5 fs, 0.25 fs, and 0.1 fs are 232032.0 K (1929.2 kJ/mol), 228334.7 K (1898.5 kJ/mol), and 227490.5 K (1891.5 kJ/mol), respectively. This discrepancy leads to different <exp(-beta*sc)> values (calculated using the direct scaled-coordinate estimator) for H, i.e., 9.51, 8.91, and 8.80, respectively.
I am not sure whether the quantum kinetic energy should depend on the time-step, or if there might be some issues with my input file. Could anyone kindly provide some guidance? Thank you in advance!
Sincerely,
Xu