---
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:

1. **Identify the reaction mechanism** from 6 candidates per domain
2. **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]
```