Leo Beck
Computational Materials Scientist
PhD student in Materials Science & Engineering at CU Boulder, using molecular dynamics and machine learning to study hybrid organic-inorganic semiconductors. More about me →
Projects
Research projects spanning molecular simulation, machine learning, and device fabrication.
Side projects spanning this portfolio website, various numerical methods, and personal interests.
Current Projects
Predicting Stability and Structure of Hybrid Organic Inorganic Perovskites
Using Molecular Dynamics to calculate formation energies and structural features.
Crystal feature extraction and dimensionality prediction in hybrid metal halides
Using the HybriD3 and Cambridge Structural databases to build ML models to predict hybrid metal halide crystal features.
Past Projects
Fabrication of Polypyrrole Electrochemical Memristors
Fabricated 3-terminal thin-film organic memristors, then performed electrical characterization.
Enhancing Dimensionality Prediction in Hybrid Metal Halides
Used the HybriD3 database to build machine learning models to predict hybrid metal halide dimensionality.
Quantifying MXene Interfacial Properties
Used NAMD to simulate dopamine binding on the surface of Ti3C2 MXenes under various surface conditions.
Roadmap: Computational Studies of MXenes
Contributed to computational section of roadmaps paper.
Side Projects
Portfolio Website
This website — a Next.js + Tailwind portfolio, iterated on collaboratively with an AI coding assistant.
Book Ratings
A personal project for tracking and rating the books I read.
Fun Numerics
A collection of miscellaneous numerical methods projects and experiments.
Organization App
A Windows desktop app with a calendar, to-dos, and notes, plus a GitHub-style heatmap for tracking daily productivity.