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Venkat Kapil's Projects

i-pi icon i-pi

i-PI: a universal force engine

lammps icon lammps

Public development project of the LAMMPS MD software package

mace icon mace

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

mbx-pythonic icon mbx-pythonic

DO NOT CLONE. Currently under development. This code will be able to calculate the energy of a set of systems composed by molecules, each molecule composed by monomers.

ml-quantum-vibrational-spectroscopy icon ml-quantum-vibrational-spectroscopy

Dipole and polarizability models developed using the approach Kapil, V., Kovács, D. P., Csányi, G., & Michaelides, A. (2023). First-principles spectroscopy of aqueous interfaces using machine-learned electronic and quantum nuclear effects. Faraday Discussions, 10.1039.D3FD00113J. https://doi.org/10.1039/D3FD00113J

n2p2 icon n2p2

n2p2 - A Neural Network Potential Package

spyss icon spyss

Stochastic Pythonic Structure Search (SPySS)

unwind icon unwind

Given the parameters of a Generalized Langevin Equation and the vibrational density of states predicts the velocity-velocity autcorrelation obtained by the dynamics. Conversely, given the velocity-velocity autocorrelation function removes the disturbance affected by the thermostat and returns the underlying vibrational density of states.

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