GitHub

Hansen Solubility Parameters in Python.

HSPiPy is a Python library designed for calculating and visualizing Hansen Solubility Parameters (HSP). It provides machine-learning–friendly estimators, convenient data import, and plotting tools for ...
IEEE

Generating Room Impulse Responses Using Neural Networks Trained with Weighted Combinations of Acoustic Parameter Loss Functions

Abstract: This paper investigates loss functions based on room acoustic parameters for training conditional generative adversarial networks (CGANs) used for generating room impulse responses (RIRs) at ...
GitHub

Pyvisco is a Python library that supports the identification of Prony series parameters for Generalized Maxwell models describing linear viscoelastic materials.

The mechanical response of linear viscoelastic materials is often described with Generalized Maxwell models. The necessary material model parameters are typically identified by fitting a Prony series ...