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ExaDigiT/RAPS is a simulator for replaying or modeling workloads on supercomputers and predicting the resulting power consumption.

PyARC repository is the runtime environment for the ANL ARC Code System for Analysis of Nuclear Reactors.

Only preparatory logic is contained in this repository in order to streamline analysts pipelines.

Solves multi-constrained and combinatorial optimization problems using simulated annealing with multifidelity model support.

ORNL mirror of https://github.com/mantidproject/mantid

Protein-ligand contrastive learning

Documentation and code for the Proxy App I/O project

This projects store all files and attachments relevant to CIS-PD support, e.g. those related to user stories.

Python utilities for creating and checking ORIGEN reactor libraries

ExaDigiT/AutoCSM is a template system-of-systems modeling approach for automating the development, deployment, and integration of cooling system models (CSMs) for supercomputing facilities within the ExaDigiT framework. AutoCSM is a Python-based framework to assist in CSM developers in accelerating the creation and deployment of system-level thermal-hydraulic CSMs. The intention is for this tool specifically to help standardize digital twin workflows for ExaDigiT. However, this tool can be used independent of ExaDigiT (and even other systems besides CSMs).

ExaDigiT/exadigitUE5 is an UnrealEngine5 based Augmented Reality Visual Analytics tool for modeling and visualizing supercomputers as a digital twin; it includes real-time interaction with telemetry and simulations, which are part of the larger ExaDigiT project.