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Amanda Medina presents at SciTech!
Amanda Medina, a UROP in our group, presented her first-author paper “Wall-Model Effects on RANS for a Fully Developed Channel Flow” at the AIAA SciTech meeting on January 9, 2025. One of the interesting results in her paper shows that a typical equilibrium wall model approach using the velocity off the wall to determine the…
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Lucien Rochery presents Metris paper at SciTech!
Lucien Rochery, a post doc in our group, presented his paper “Metris: An Open-Source High-Order Metric-Based Remesher” describing our new open-source meshing software at the AIAA SciTech meeting in January. Mark Chiriac, a UROP in our group, was a co-author that developed the optimization algorithm to curve the mesh to better match the metric field.
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Emily Williams shares a new paper on physics-informed PDE approximations
Emily uploaded a new paper to arXiv on physics-informed PDE discretization methods. The paper is co-authored with her DOE collaborators Amanda Howard, Brek Meuris, Panos Stinis from the Pacific Northwest National Laboratory. For more on all of Emily’s work, check out her site.
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Cory Frontin publishes paper in JCP!
Cory published another paper from his doctoral research, this one appears in the Journal of Computational Physics and describes a framework for error modeling and identification using small-sample Bayesian inference that allows approximation of the optimal balance between sampling time and discretization precision without the computation of high-cost libraries of reference solutions. The result enables…
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Emily Williams presents two seminars on ML for discretizing PDEs!
Emily presented two talks on her work “Machine-Learning-Based Spectral Methods Toward Reduced-Order Modeling for Partial Differential Equations”. One at the Computational Research in Boston and Beyond Seminars (October 4) and the other at the MIT Center for Computational Science & Engineering Community Seminars (October 11). The work is a collaboration with her DOE collaborators Amanda…
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Renato Trono Figueras presents adaptive method for sonic boom propagation
Renato Trono Figueras presented our paper “Improvements to an Output-Based Adaptive, Higher-Order Finite Element Method for Sonic Boom Propagation” at the 2024 AIAA Aviation. This work shows how space-time adaptive finite element methods can be used to calculate sonic boom propagation and is based upon the Renato’s SM thesis.
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Emily Williams presents at the SIAM Annual Meeting!
Emily Williams presented “Learning Diffusion for Stabilizing Linearized Chaotic Systems” at the 2024 SIAM Annual Meeting. This was work done in collaboration with another group member, Renato Trono Figueras. They show how machine learning can be used to develop a stochastic diffusion model for linearized chaotic systems.
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2024 Common Ground Excellence in Teaching Award
Thank you to Dan Huttonlocher (Dean of the Schwarzman College of Computing (SCC)) for the recognition of my teaching of Introduction to Computational Science & Engineering subject (see the background here). This class was developed with many collaborators across the MIT Center for Computational Science & Engineering (CCSE). With support from the Common Ground for Computing…
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Carmen Ursachi presents and publishes her WMRANS model
Carmen published a paper on her doctoral research on wall-modeling in the AIAA Journal. Unlike typical wall models, Carmen’s approach avoids the need to query the interior solution by utilizing solution information solely at the boundary, making it well-suited for unstructured grids and mesh adaptation. Furthermore, it is formulated to lessen the near-wall grid resolution…
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Marshall promoted!
Congratulations to Marshall on his promotion to principal research engineer! Marshall is a key to the research we do in the group and has a seemingly unlimited bandwidth, energy, and enthusiasm (especially when it comes to helping students). This is a well-deserved promotion that recognizes his contributions as well as his future. Here’s the description…
