Industrial Tech

IBM Japan Pushes AI into Materials R&D, Targets Speed, Risk, and ESG Pressure

IBM Japan has launched a new service called IBM Material DX, aimed squarely at fixing how materials research actually works inside manufacturing firms. The core problem is familiar. Data sits in silos, material design depends heavily on expert intuition, and progress comes through slow trial and error. That model does not survive regulatory pressure, cost constraints, or faster product cycles. Material DX brings together IBM Research technology, consulting, and infrastructure to cover the full materials workflow. Discovery, design, and implementation sit in one loop. At the center is an AI platform pre trained on data covering billions of compounds. This model is used to speed up candidate screening, structural design, and synthesis planning, cutting development time by multiples rather than small gains. Also Read: Spready Uses ANDL Work to Support…