AI Driven Materials Discovery Tools - MOFevaluator: A Cloud-Based Platform for Process-Informed Discovery of MOF for Carbon Capture and Beyond - PSDI Webinar

The Physical Sciences Data Infrastructure (PSDI) aims to accelerate research in the physical sciences by providing a data infrastructure that brings together and builds upon the various data systems researchers currently use. Our webinar series provide updates on our exploratory pathfinder work, and on relevant tools and technologies that have been developed by members of our community.

PSDI is pleased to launch a new webinar series entitled “From Project to Platform: New Resources on PSDI”. This series aims to showcase the high-quality tools and resources developed through the funding call 2025, introduce them to a broader community, and foster engagement with relevant user groups. 

This record contains a more detailed version of the presentation that was presented at the session "AI Driven Materials Discovery Tools" - "MOFevaluator: A Cloud-Based Platform for Process-Informed Discovery of MOF for Carbon Capture and Beyond" on 30th April 2026. 

Dr Peter McCallum and Professor Susana Garcia (Heriot-Watt University) presented MOFevaluator, a cloud-based platform built on the PrISMa framework. The system integrates process modelling, techno-economic analysis, and life-cycle assessment to support system-level evaluation of MOFs for carbon capture and other gas separation applications. The talk also demonstrated how the platform enables interactive exploration of MOF data through web interfaces and APIs.