Acoustic Absorption Predictor
A free, browser-based tool implementing seven acoustic models for porous material characterisation โ no installation, no sign-up required.
From simple empirical models (Delany-Bazley, Miki) to full Biot poroelastic theory and Transfer Matrix Method for layered systems.
Automatically computes Noise Reduction Coefficient at 250, 500, 1000, and 2000 Hz with performance rating.
Overlay multiple models and configurations on a single chart to compare predictions side by side.
Download full frequency-resolved absorption data for all active curves for further analysis in Excel or Python.
Chain two material layers using the Transfer Matrix Method to simulate multilayer absorber configurations.
Runs entirely in your browser. No dependencies, no account, no data sent to any server.
@misc{olajide2026alphaporous,
author = {Olajide, Jimmy Lolu},
title = {AlphaPorous: A Browser-Based Tool
for Acoustic Absorption Prediction},
year = {2026},
institution = {University of South Africa (UNISA),
Department of Mechanical, Bioresources
and Biomedical Engineering},
note = {Open-access web tool. Available at:
https://alphaporous.com},
}
Olajide, J. L. (2026). AlphaPorous: A browser-based tool for acoustic absorption prediction [Web application]. University of South Africa (UNISA), Department of Mechanical, Bioresources and Biomedical Engineering. https://alphaporous.com
TY - COMP
AU - Olajide, Jimmy Lolu
TI - AlphaPorous: A Browser-Based Tool for Acoustic Absorption Prediction
PY - 2026
PB - University of South Africa (UNISA)
CY - Florida, South Africa
AB - A free browser-based tool implementing seven acoustic models for predicting
sound absorption coefficients of porous materials.
UR - https://alphaporous.com
ER -
Computational Materials Scientist ยท Postgraduate Researcher
Department of Mechanical, Bioresources and Biomedical Engineering
University of South Africa (UNISA) ยท Florida Campus
This tool was developed to support research and education in acoustic materials science. It provides a fast, accessible way to predict sound absorption behaviour of porous materials using established theoretical and empirical models โ useful for material design, experimental validation, and academic study.