<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Kenyi Takagui-Perez</title><description>Applied AI engineer &amp; physicist — agents, ML, and quantum matter</description><link>https://taogenna.github.io/</link><item><title>Representing Atomic Environments for ML Potentials</title><link>https://taogenna.github.io/blog/atomic-environments-mlip/</link><guid isPermaLink="true">https://taogenna.github.io/blog/atomic-environments-mlip/</guid><description>A survey of how local atomic environments are represented in machine-learning interatomic potentials, from Behler-Parrinello symmetry functions to CACE.</description><pubDate>Sat, 12 Apr 2025 00:00:00 GMT</pubDate></item><item><title>The Self-Consistent Hartree-Fock Method</title><link>https://taogenna.github.io/blog/hartree-fock-method/</link><guid isPermaLink="true">https://taogenna.github.io/blog/hartree-fock-method/</guid><description>Self-consistent unrestricted Hartree-Fock for Majorana zero modes in a quantum-dot–superconducting-nanowire hybrid, the method behind my master&apos;s thesis.</description><pubDate>Tue, 28 Jan 2025 00:00:00 GMT</pubDate></item><item><title>Measuring the non-Markovianity of a Quantum System</title><link>https://taogenna.github.io/blog/non-markovianity/</link><guid isPermaLink="true">https://taogenna.github.io/blog/non-markovianity/</guid><description>Characterizing non-Markovianity in open quantum systems via canonical decoherence rates and the trace-distance measure of information flow.</description><pubDate>Wed, 26 Jul 2023 00:00:00 GMT</pubDate></item><item><title>PPCA: The Minimal Generative Model</title><link>https://taogenna.github.io/blog/ppca/</link><guid isPermaLink="true">https://taogenna.github.io/blog/ppca/</guid><description>Deriving probabilistic PCA as the maximum-likelihood solution of a linear-Gaussian latent-variable model, and how it reduces to classical PCA.</description><pubDate>Mon, 20 Oct 2025 00:00:00 GMT</pubDate></item></channel></rss>