<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>derivon — scientific ML notebooks and engineering</title><link>https://derivon.ai</link><description>Reproducible scientific machine learning workflows from Derivon and omnibias.</description><language>en</language><atom:link href="https://derivon.ai/feed.xml" rel="self" type="application/rss+xml"/><item><title>A fourth-order beam PINN in PyTorch</title><link>https://derivon.ai/blog/fourth-order-pinn-beam/</link><guid isPermaLink="true">https://derivon.ai/blog/fourth-order-pinn-beam/</guid><description>Solve a clamped Euler–Bernoulli beam with a nonuniform load, forward Taylor jets, exact boundary conditions, and independent solution checks.</description><pubDate>Mon, 05 Oct 2026 00:00:00 +0400</pubDate></item><item><title>A Poisson PINN without a full Hessian</title><link>https://derivon.ai/blog/poisson-pinn-direct-laplacian/</link><guid isPermaLink="true">https://derivon.ai/blog/poisson-pinn-direct-laplacian/</guid><description>Train a two-dimensional Poisson PINN using direct Laplacian contraction, then inspect solution error, boundary error, and residual error separately.</description><pubDate>Mon, 05 Oct 2026 00:00:00 +0400</pubDate></item><item><title>Train differentiable regions and local experts</title><link>https://derivon.ai/blog/differentiable-regional-models/</link><guid isPermaLink="true">https://derivon.ai/blog/differentiable-regional-models/</guid><description>Learn a soft split and two regional regressors together, validate held-out predictions, and measure what changes when routing is hardened.</description><pubDate>Mon, 05 Oct 2026 00:00:00 +0400</pubDate></item><item><title>Calibrate a scientific model with Gauss–Newton</title><link>https://derivon.ai/blog/scientific-model-calibration/</link><guid isPermaLink="true">https://derivon.ai/blog/scientific-model-calibration/</guid><description>Recover amplitude, decay rate, and offset in a nonlinear least-squares inverse problem using a verified residual Jacobian and functional Gauss–Newton steps.</description><pubDate>Mon, 05 Oct 2026 00:00:00 +0400</pubDate></item></channel></rss>
