# \#optimization

**URL:** https://si-tesseract.discourse.group/tag/optimization/5.md

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## [Inside Ferrumizer: Physics & Inference](https://si-tesseract.discourse.group/t/inside-ferrumizer-physics-inference/168)

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**Author:** [@riot](https://si-tesseract.discourse.group/u/riot)\
**Replies:** 0\
**Last updated:** [September 15, 2026, 5:22am UTC](https://si-tesseract.discourse.group/t/inside-ferrumizer-physics-inference/168 "2026-09-15T05:22:05Z")

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It’s been a couple of weeks since I shipped Ferrumizer. Building a differentiable physics engine that simulates industrial steel hardening forced me to bridge my degree in Metallurgical Engineering with modern software…

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## [TessScope: Closed-loop microscopy with exact gradients across JAX, SciPy and PyTorch - Tesseract Hackathon 2026](https://si-tesseract.discourse.group/t/tessscope-closed-loop-microscopy-with-exact-gradients-across-jax-scipy-and-pytorch-tesseract-hackathon-2026/165)

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**Author:** [@raj](https://si-tesseract.discourse.group/u/raj)\
**Replies:** 1\
**Last updated:** [September 6, 2026, 7:52pm UTC](https://si-tesseract.discourse.group/t/tessscope-closed-loop-microscopy-with-exact-gradients-across-jax-scipy-and-pytorch-tesseract-hackathon-2026/165 "2026-09-06T19:52:21Z")

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Can one exact gradient teach a microscope to refocus itself and improve the biological analysis at the end of the pipeline? Hii guys… I’m Raj Patil, For the Tesseract Hackathon 2026, Track 05: Differentiable graphics a…

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## [Normax: Backpropagating through structural engineering standards](https://si-tesseract.discourse.group/t/normax-backpropagating-through-structural-engineering-standards/161)

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**Author:** [@arpastrana](https://si-tesseract.discourse.group/u/arpastrana)\
**Replies:** 0\
**Last updated:** [September 1, 2026, 1:17am UTC](https://si-tesseract.discourse.group/t/normax-backpropagating-through-structural-engineering-standards/161 "2026-09-01T01:17:59Z")

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What if we could backpropagate through the law? :oncoming\_police\_car: This is the research question behind #normax, my entry to the 2026 Tesseract Hackathon by Pasteur Labs. Engineering lightweight structures remains l…

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## [Injecting True Physics into Kirigami Generative Design](https://si-tesseract.discourse.group/t/injecting-true-physics-into-kirigami-generative-design/139)

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**Author:** [@jkloers](https://si-tesseract.discourse.group/u/jkloers)\
**Replies:** 2\
**Last updated:** [June 16, 2026, 8:43pm UTC](https://si-tesseract.discourse.group/t/injecting-true-physics-into-kirigami-generative-design/139 "2026-06-16T20:43:27Z")

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Hi everyone, I’ve been building an end-to-end differentiable pipeline that designs kirigami — a variant of origami with cuts instead of folds — by gradient descent in JAX. It works very well, but it had a blind spot. E…

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## [Inverse Burgers with Tesseract: Solver Adjoints, Swappable PINNs, and Amortized Posteriors](https://si-tesseract.discourse.group/t/inverse-burgers-with-tesseract-solver-adjoints-swappable-pinns-and-amortized-posteriors/136)

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**Author:** [@julian8897](https://si-tesseract.discourse.group/u/julian8897)\
**Replies:** 2\
**Last updated:** [June 16, 2026, 6:29pm UTC](https://si-tesseract.discourse.group/t/inverse-burgers-with-tesseract-solver-adjoints-swappable-pinns-and-amortized-posteriors/136 "2026-06-16T18:29:58Z")

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This is a follow-up to my Tesseract hackathon honourable mention, tesseract-pinn-inverse-burgers. The original project demonstrated swapping one PINN between JAX and PyTorch. I’ve since rebuilt it around a broader use of…

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## [Optimizing the Universe with Tesseract + Disco-DJ](https://si-tesseract.discourse.group/t/optimizing-the-universe-with-tesseract-disco-dj/125)

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**Author:** [@EpicentreOZ](https://si-tesseract.discourse.group/u/EpicentreOZ)\
**Replies:** 3\
**Last updated:** [May 31, 2026, 7:38pm UTC](https://si-tesseract.discourse.group/t/optimizing-the-universe-with-tesseract-disco-dj/125 "2026-05-31T19:38:17Z")

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I put together a Tesseract + Disco-DJ (GitHub - cosmo-sims/DISCO-DJ: DISCO-DJ: DIfferentiable Simulations for COsmology - Done with Jax · GitHub) demo showing how to solve a field-level inverse problem in cosmology with …

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## [Parametric Shape Optimization of Rocket Fins with Ansys SpaceClaim, PyAnsys, and Tesseract](https://si-tesseract.discourse.group/t/parametric-shape-optimization-of-rocket-fins-with-ansys-spaceclaim-pyansys-and-tesseract/109)

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**Author:** [@andrinr](https://si-tesseract.discourse.group/u/andrinr)\
**Replies:** 0\
**Last updated:** [November 28, 2025, 4:42pm UTC](https://si-tesseract.discourse.group/t/parametric-shape-optimization-of-rocket-fins-with-ansys-spaceclaim-pyansys-and-tesseract/109 "2025-11-28T16:42:02Z")

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Parametric Shape Optimization of Rocket Fins with Ansys SpaceClaim and PyAnsys This showcase demonstrates how to perform gradient-based shape optimization using PyAnsys, Ansys SpaceClaim, and Tesseracts. All relevant cod…

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## [Gradient-based optimization of fluid flows](https://si-tesseract.discourse.group/t/gradient-based-optimization-of-fluid-flows/97)

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**Author:** [@Alessandro](https://si-tesseract.discourse.group/u/Alessandro)\
**Replies:** 0\
**Last updated:** [July 11, 2025, 8:42am UTC](https://si-tesseract.discourse.group/t/gradient-based-optimization-of-fluid-flows/97 "2025-07-11T08:42:50Z")

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We wrote a Tesseract-JAX demo on using differentiable programming to optimize fluid simulations. The goal is to find initial conditions that evolve into a target pattern (the Pasteur Labs logo) using JAX-CFD and gradient…

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## [Parametric Shape Optimization with Differentiable FEM](https://si-tesseract.discourse.group/t/parametric-shape-optimization-with-differentiable-fem/98)

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**Author:** [@Alessandro](https://si-tesseract.discourse.group/u/Alessandro)\
**Replies:** 0\
**Last updated:** [July 11, 2025, 9:55am UTC](https://si-tesseract.discourse.group/t/parametric-shape-optimization-with-differentiable-fem/98 "2025-07-11T09:55:26Z")

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Shape optimization is a natural application of many of the ideas which went into building the Tesseract framework. We wrote a demo where we solve an optimization problem to find structural configurations that minimize co…

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## [Thomson scattering diagnostic parameter optimization](https://si-tesseract.discourse.group/t/thomson-scattering-diagnostic-parameter-optimization/45)

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**Author:** [@andrinr](https://si-tesseract.discourse.group/u/andrinr)\
**Replies:** 1\
**Last updated:** [April 29, 2025, 2:39pm UTC](https://si-tesseract.discourse.group/t/thomson-scattering-diagnostic-parameter-optimization/45 "2025-04-29T14:39:24Z")

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Thomson scattering diagnostic parameter optimization Background The Thomson Scattering diagnostic is used to infer plasma conditions in fusion-relevant experiments at LLE, ZAP Energy, among others. It is a model-based di…

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## [PyTorch-based Rosenbrock function minimization](https://si-tesseract.discourse.group/t/pytorch-based-rosenbrock-function-minimization/44)

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**Author:** [@matteo.salvador](https://si-tesseract.discourse.group/u/matteo.salvador)\
**Replies:** 0\
**Last updated:** [February 26, 2025, 1:24pm UTC](https://si-tesseract.discourse.group/t/pytorch-based-rosenbrock-function-minimization/44 "2025-02-26T13:24:32Z")

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Overview This example explains how to implement a PyTorch-based Tesseract for the Rosenbrock function and use it in an optimization loop to find the global minima starting from a random initial guess. This Tesseract pro…

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## [JAX Auto-diff templates: Gaussian radial basis function fitting](https://si-tesseract.discourse.group/t/jax-auto-diff-templates-gaussian-radial-basis-function-fitting/51)

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**Author:** [@JonathanBrodrick](https://si-tesseract.discourse.group/u/JonathanBrodrick)\
**Replies:** 0\
**Last updated:** [February 26, 2025, 2:44pm UTC](https://si-tesseract.discourse.group/t/jax-auto-diff-templates-gaussian-radial-basis-function-fitting/51 "2025-02-26T14:44:06Z")

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Tesseract “recipes” provide ready-to-go templates that simplify the writing of API files and automate the generation of auto-diff endpoints using powerful third party frameworks such as JAX. This example demonstrates how…

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## [JAX-based Rosenbrock function minimization](https://si-tesseract.discourse.group/t/jax-based-rosenbrock-function-minimization/48)

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**Author:** [@Niklas](https://si-tesseract.discourse.group/u/Niklas)\
**Replies:** 0\
**Last updated:** [February 26, 2025, 2:11pm UTC](https://si-tesseract.discourse.group/t/jax-based-rosenbrock-function-minimization/48 "2025-02-26T14:11:33Z")

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This example demonstrates how to: Create a Tesseract that wraps the Rosenbrock function, a non-convex function that is commonly used to test optimization algorithms. Use the tesseract with Scipy’s minimize routine …
