From Materials Data to AI Accelerated Results, Fast!
Machine Learning & Robotics in New Material Discovery: Innovations, Start-Ups, Applications 2022
15 June 2022
Online
TechBlick Platform
Transforming multi-dimensional, unstructured, and dispersed materials data into AI/ML driven results for R&D, supply chain and manufacturing is a challenge. Doing so rapidly, cost-effectively, and sustainably on a collaborative organizational platform, is an even bigger challenge. Like the “Rolodex-to-CRM” evolution in marketing/sales before it, the Materials Informatics Platform (MIP) is the next organizational platform evolution for materials/products. We will showcase via solid-state batteries and perovskite solar cells from the www.perovskitedatabase.com, although domain agnostic and proven on hydrogen cells, building materials, polymers, 3D printing, alloys, coating, packaging, healthcare products and more.






