Data-driven search for functional materials

Lead Research Organisation: University of Cambridge
Department Name: Physics

Abstract

The project utilises and augments the chemistry-aware natural language processing toolkit, ChemDataExtractor, in order to automatically generate a database of seminal properties for functional materials. This database will be analysed using machine learning algorithms in order to discover underlying trends and make predictions which aim to streamline the process of novel materials discovery.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R513180/1 30/09/2018 29/09/2023
2437634 Studentship EP/R513180/1 30/09/2020 31/03/2024 Odysseas Sierepeklis
EP/T517847/1 30/09/2020 29/09/2025
2437634 Studentship EP/T517847/1 30/09/2020 31/03/2024 Odysseas Sierepeklis