A newer version of the Gradio SDK is available: 6.12.0
metadata
title: ECFlow
emoji: ⚡
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: mit
short_description: Bayesian inference for CV & TPD analysis
ECFlow — Amortized Bayesian Inference for Electrochemistry & Catalysis
Upload cyclic voltammetry (CV) or temperature-programmed desorption (TPD) data to automatically:
- Identify the reaction mechanism from 6 candidates per domain
- Infer kinetic parameters with full Bayesian posterior uncertainty
Inference takes ~50 ms on CPU. Accepts CSV files or plot images.
Supported Mechanisms
Electrochemistry (CV): Nernst, Butler-Volmer, Marcus-Hush-Chidsey, Adsorption, EC, Langmuir-Hinshelwood
Catalysis (TPD): First-order, Second-order, LH Surface, Mars-van Krevelen, Coverage-dependent, Diffusion-limited
Citation
[Citation to be added upon publication]