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NTHRYSPhD AssistanceComputational Chemistry

Computational Chemistry

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Computational Chemistry

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Research Frontiers in Quantum Monte Carlo Methods Development

Development of advanced QMC algorithms for accurate ground state energies and properties of molecular systems.

Stochastic Sampling of Excited Electronic States
Fixed-Node Approximation Beyond Nodal Surfaces
Machine Learning Acceleration of Walkers Dynamics
Quantum Correlations in Diffusion Monte Carlo
Variational Monte Carlo for Strongly Correlated Materials
Fermion Sign Problem in Path Integral Methods
Gaussian Process Potentials in Quantum Monte Carlo
Green's Function Monte Carlo for Molecular Geometry
Hybrid Classical-Quantum Sampling Frameworks
Real-Space Correlation Functions via Ensemble Methods

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