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Khurrum Saleem Chaudri's Projects

gradient-free-optimizers icon gradient-free-optimizers

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

graphai icon graphai

A graph database for machine learning

gtneut icon gtneut

GTNEUT is a two-dimensional code for the calculation of the transport of neutral particles in fusion plasmas. It is based on the Transmission and Escape Probabilities (TEP) method and can be considered a computationally efficient alternative to traditional Monte Carlo methods. The code has been benchmarked extensively against Monte Carlo and has been used to model the distribution of neutrals in fusion experiments.

hare icon hare

Simple, monoenergetic finite difference transport code

heat-pinn icon heat-pinn

A Physics-Informed Neural Network to solve 2D steady-state heat equation.

heat-pipe-reactor icon heat-pipe-reactor

Neutronics, Thermal-hydraulics and Structure Multi-physics Coupled Simulation of Heat Pipe Reactor

heatconduction icon heatconduction

A 1D heat conduction solver using Finite Difference Method and implicit backward Euler time scheme

helios icon helios

Helios - A C++ Monte Carlo Neutron Transport Code

hpinn icon hpinn

hPINN: Physics-informed neural networks with hard constraints

hybrid icon hybrid

HYBRID is a modeling toolset to assess the integration and economic viability of Integrated Energy Systems (IES).

hydep icon hydep

Library for coupling high-fidelity and reduced-order neutron transport solvers to perform hybrid depletion

hypre icon hypre

Parallel solvers for sparse linear systems featuring multigrid methods.

iapws icon iapws

python libray for IAPWS standard calculation of water and steam properties

ibex icon ibex

Solves neutron transport and heat conduction equations using meshless methods

im3d icon im3d

Yonggang's 3D Monte Carlo radiation damage code

india2019 icon india2019

Enhancements to the Discrete Generalized Multigroup Method

inferxs icon inferxs

Experimental machine learning algorithms for multi-group nuclear cross-section inference from Monte Carlo simulations.

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