Quantitative Data Analysis for spectroscopic LEEM
PLEASE: The Python Low-energy Electron Analysis SuitE - Enabling rapid analysis and visualization of LEEM and LEED Data.
Explore, analyze, visualize Angle Resolved Photoemission Spectroscopy (ARPES) data.
Python project to produce STM data from the linear-scaling, local orbital DFT code CONQUEST
First order Temperature Programmed Desorption analysis package
Versatile Python toolkit for RHEED image analysis
Free, cross-platform XPS (X-ray photoelectron spectroscopy) peak-fitting app with a built-in fit auditor and a citation-backed reference database — the modern XPSPEAK 4.1 replacement. macOS & Windows, GPLv3.
Automated MD pipeline for wetting simulations on Graphene, Graphite, Structured Graphite, and MXenes. Contact angle extraction via least-squares fitting of density profiles.
Web App for the Metal Input Line Entry System (MILES) – a comprehensive framework for describing surface properties using a standardized line notation format. MILES strings can be converted to numerical representations suitable for machine learning models in materials science applications.
Periodic DFT workflow (GPAW + ASE) for surface slab modeling and site-dependent adsorption energetics on Pt(111).
Physics-based microkinetic and surrogate modeling framework linking periodic DFT energetics to regime-dependent catalytic performance, apparent activation energy, and extrapolation-aware rate control analysis.
python code for counting molecules in STM images
Time-of-Flight and King & Wells Data Analysis of In-Situ Molecular Beam Experiments
Une théorie unifiée de l'électrification de contact régie par la frustration géométrique et les états électroniques exotiques (Wigner/Pinball)
Project from Team 7 - Surface Science Syndicate; developed in competition for the 2024 Acceleration Consortium Bayesian Optimization Hackathon. Achieved 3rd place out of 44 competitors.
XPS / UPS spectra GUI tool with deep-learning auto peak fitting. CNN1Dv2 + lmfit refinement for C 1s / N 1s / O 1s / S 2p / F 1s, with spin-orbit doublet constraint.
Official website of Interliant Technologies, LLC.
First-principles theory of near-universal nanofabrication: physical limits, thermodynamics, information theory, fault tolerance, transport, and programmable matter.
A quantitative research program for universal nanofabrication under known physics-mapping fundamental limits, atomic-precision manufacturing barriers, decisive experiments, scaling laws, architectures, and the shortest credible path to general-purpose molecular manufacturing.
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