Post, August 7, 2026 • (University of Illinois at Urbana-Champaign) This project explores the design and implementation of digital twin models for the continuous monitoring and performance prediction of precast concrete (PC) bridges. Leveraging NVIDIA Omniverse, a cutting-edge 3D modeling platform, the research establishes a streamlined methodology for rapidly prototyping digital twin models using engineering...
Simulation & Synthetic Data
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Kimberlina 1.2 CCUS Geophysical Models and Synthetic Data Sets
Post, August 7, 2026 • (Lawrence Berkeley National Laboratory, National Energy Technology Laboratory, Los Alamos National Laboratory, Colorado School of Mines) This synthetic multi-scale and multi-physics data set was produced in collaboration with teams at the Lawrence Berkeley National Laboratory, National Energy Technology Laboratory, Los Alamos National Laboratory, and Colorado School of Mines through the...
Revised Kimberlina Groundwater Simulations
Post, August 7, 2026 • (Lawrence Livermore National Laboratory) Kimberlina Groundwater Qaulity Simulations (Version 3: 2015 October) by Lawrence Livermore National Laboratory. Submitted to the EDX team at the National Energy Technology Laboratory for research use. This dataset contains 562 updated groundwater quality simulations based on the Kimberlina site. It is a six-layer model including...
Simantha: Simulation for Manufacturing
Post, August 7, 2026 • (National Institute of Standards and Technology) Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in...