Featured Research Tool


quoFEM APPLICATION: This example illustrates how Python scripting can be used with quoFEM to express general mathematical models without the use of a dedicated finite element analysis engine. View all SimCenter Research Tools


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Upcoming Events


Workshop on Advancement of Computational Wind Engineering
- May 18-19, 2023 - In-person. Register by April 14, 2023

NHERI Graduate Student Council Mini-Conference and Research Challenge
-
May 26, 2023

2023 SimCenter Programming Bootcamp - Save the Date!

  • Session 1 (C / C++) June 5-9
  • Session 2 (Python) June 12-16

2023 International Conference on Resilient Systems - June 28-30, Mexico City
 

NHERI Computational Academy - July 17-20, 2023 - Save the Date!

Recent News


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Postdoctoral Positions open at the SimCenter in Coastal Engineering and Hydrodynamics, Machine Learning and Data Science, Multi-hazard Regional Risk Assessment and Socioeconomic Models and Recovery Simulation.


The paper "Community Perspectives on Simulation and Data Needs for the Study of Natural Hazard Impacts and Recovery" has been selected to be featured in the Editor’s Choice section of the Natural Hazards Review by ASCE publishing.


 

SimCenter special issue article in EESD. SimCenter personnel have published a new article in a special issue of Earthquake Engineering and Structural Dynamics, entitled “Surrogate modeling of structural seismic response using probabilistic learning on manifolds.”


SimCenter Development Team Profile – Spring 2023: Abiy Melaku, Postdoctoral Scholar, Software Developer. Dr. Melaku completed his Ph.D. in Civil Engineering and Scientific Computing from the University of Western Ontario.


SimCenter Leadership Transition. Matthew DeJong, Associate Professor of Structural Engineering at UC Berkeley, heads the SimCenter as PI and co-Director.

 


The SimCenter provides next-generation computational modeling and simulation software tools, user support, and educational materials to the natural hazards engineering research community with the goal of advancing the nation’s capability to simulate the impact of natural hazards on structures, lifelines, and communities.


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