Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images

Boiling processes are notoriously difficult to analyze visually due to the complex interactions between vapor bubbles and the surface. To aid in the quantitative analysis of these phenomena, this repository provides the high-speed videos, manually annotated pool boiling images, and MATLAB analysis toolkit associated with the study \"Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images\" (International Journal of Heat and Mass Transfer, 255 (2026) 127894). The dataset comprises experiments conducted with different working fluids (water and HFE-7100) and heater surfaces (plain and microstructured copper and silicon) to investigate the effect on bubble morphology. Conventional physical descriptors, such as bubble size, bubble count, and vapor area fraction, as well as the descriptors derived from Principal Component Analysis (PCA), were extracted from the abovementioned dataset. The results demonstrate strong positive correlations between the ..., This repository provides a comprehensive dataset and a MATLAB-based analysis toolkit designed for quantitative analysis of pool boiling phenomena.
Dataset Information
The root directory contains separate folders for each experimental dataset (PCu-H2O, FCu-H2O, PSi-HFE, and SSi-HFE). Each of these folders contains the experimental data as downsized high-speed videos (.mp4) captured at various heat loads. For quantitative analysis, a manually annotated subset of randomly selected high-speed image frames (.jpg) is provided in an annotatedBubbles subfolder, along with a structured JSON (.json) file containing the corresponding bubble contour coordinates. This JSON data is organized as a structure where each image entry contains a FileName and a Bubbles object, which in turn holds the x and y coordinates for each individually labeled contour (e.g., b0001, b0002, etc.).
Image Analysis Toolkit
The DataProcessTools folder, also located under the root directory, contains the MATLAB analysis tool..., # Pool Boiling High-Speed Video Datasets and Analysis Toolkit

## Overview

This repository contains four high-speed video datasets of pool boiling phenomena and a suite of MATLAB scripts for quantitative image analysis. Detailed information about the experimental methods, datasets, and analysis methodologies can be found in our publication:

> L. Zhang, et al., \"Generalizable physical descriptors of pool boiling heat transfer from unsupervised learning of images,\" *International Journal of Heat and Mass Transfer*, 255 (2026) 127894.

The core of this work demonstrates that new descriptors extracted via Principal Component Analysis (PCA), namely the **Dominant Amplitude ($D_a$)** and **Dominant Frequency ($D_f$)**, show strong positive correlations with conventional, manually measured parameters like bubble size and count. This unsupervised approach offers a robust and efficient alternative to traditional, labor-intensive image analysis.

## Datasets Information

The experimental datase...,