Quantitative Data Analysis for spectroscopic LEEM
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Updated
Feb 17, 2022 - Jupyter Notebook
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.
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.
Automated MD pipeline for wetting simulations on Graphene, Graphite, Structured Graphite, and MXenes. Contact angle extraction via least-squares fitting of density profiles.
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)
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.
A Python package for encoding and decoding MILES (Material Input Line Entry System) strings - a standardized notation system for describing comprehensive material properties in a compact, machine-readable format.
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