29 Jan 2025

Materials Informatics Will Revolutionize Battery Development
The battery industry is facing increasing pressure to develop new chemistries and materials to keep up with rising energy density and sustainability demands. The traditional materials discovery process is both expensive and time-consuming. Machine learning methods, specifically materials informatics, could provide a necessary avenue for accelerating the battery development process.
Update
4 Nov 2024

Eonix Energy: ATLAS
Introducing Eonix Energy's high-throughput machine learning-assisted cell development platform, ATLAS.
Update interview
28 Oct 2024

Schrödinger Update: Batteries and Materials Informatics
IDTechEx interviewed Mat Halls, Senior Vice President of Materials Science at Schrödinger, to discuss the company's materials informatics platform, especially regarding discovery and screening of battery materials.
Included are:
6 Aug 2020

AI Accelerates Materials Science From the Lab to Market
Nearly every sector is proposing the use of artificial intelligence. Materials science R&D is relatively late to this trend, and there are many industry-specific hurdles, but the opportunities are beginning to be realized and the potential impact is significant.
Full profile interview
19 May 2020

Schrödinger
Schrödinger provides physics-based computer modelling, machine learning approaches, and comprehensive informatics to accelerate life science and materials science R&D. IDTechEx spoke with Dr Mathew Halls (Vice President, Materials Science) about their work in materials informatics.
Included are:
3 Jan 2018

Paving the way for a non-electric battery to store solar energy
Materials chemists have been trying for years to make a new type of battery that can store solar or other light-sourced energy in chemical bonds rather than electrons, one that will release the energy on demand as heat instead of electricity - addressing the need for long-term, stable, efficient storage of solar power.