Vikas Tiwari

MD simulations · Enhanced sampling · Machine learning

I am a computational chemist exploring how molecular simulations, machine learning, and AI can be combined to uncover chemical mechanisms and accelerate discovery. My interests span machine-learned interatomic potentials, enhanced sampling, multiscale modeling, and data-driven drug discovery, with a focus on building predictive models for complex molecular and chemical systems.

Vikas Tiwari

Research Highlights

GNN collective variables
MD simulation | Metadynamics | Self-assembly
Enhanced sampling
QM/MM | OPES | Catalysis
ML potentials
Machine learning | Nucleation | Collective variable

Selected Publications

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Contact information

Atomistic Simulations
Istituto Italiano di Tecnologia
Genoa, Italy
vikas.tiwari@iit.it