polymerscience

Polymer property prediction with GNNs and deep set learning.

Polymer-Oriented LibrarY of Monomer-Expression Rules and In-silico Synthesis Tools

Biopolymer Performance Predictor is a machine-learning pipeline for predicting polymer thermophysical properties directly from molecular structure.

For MATSE 121.02 LAB: This program plots and analyzes instrument data from Shimadzu DSC-60 Series and Shimadzu DTG-60A Series regarding the thermal properties of commercial polyurethane (PU) foam samples. These plots include DSC, TGA, and DTA, respectively.

Follow the flowchart: answer the questions and compare your observations to narrow down possible plastics. You can step back or restart at any moment.

This is a program used for computing mechanical properties of 3D-printed polymers as part of a lab report for MATSE 121.02 LAB VX.