Software Development for Automated Material Property Prediction and Business Intelligence Tools

Chemia is developing an online platform that helps R&D engineers and scientists find, compare, and design better materials for their products using a comperehsnive database of materials, their properties and scientific validation tools. We primarily focus on inorganic materials in areas like clean energy and electronics. This project will enhance the material intelligence, innovation, and integration features of our platform, making them more complete, up to date, and intelligent. The main objective is to automatically add new data from trusted and commercially compliant sources and improve our property prediction tools using AI and first principles calculation tools along with experimentations and experimental data. With a more comprehensive database and integrated validation tools, companies will be able to explore more material options, shorten development cycles, and make better decisions when selecting or designing viable materials.

Faculty Supervisor:

Alex Hernandez-Garcia

Student:

Partner:

Chemia Discovery Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program: