Cutting material development time by 90%
From ICME towards MAPs
Materials innovation is entering a new era. This white paper introduces how moving from Integrated Computational Materials Engineering (ICME) towards Materials Acceleration Platforms (MAPs) is fast-tracking the discovery of high-performance, sustainable materials.
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About the content
In this white paper, we explore how computational material modelling, AI and high-throughput experimentation are converging into Materials Acceleration Platforms (MAPs). These platforms are redefining how we design, test and deploy materials, slashing development timelines by up to 90%.
You'll learn how VTT’s modelling capabilities, such as ProperTune®, and AI4M (AI for materials) expertise are already enabling breakthroughs in fields like high entropy alloys, bio-based alternatives, functional materials and more. The publication also includes future-facing insights into quantum integration, generative AI and next-generation metamaterials.
Who is this for?
This white paper is essential reading for
R&D and innovation leaders working with advanced materials
Sustainability professionals replacing fossil-based materials
Industry experts seeking to accelerate material development
Decision-makers exploring AI- and modelling-driven solutions
Why this white paper?
Global demand for better-performing, more sustainable materials is rising rapidly. Traditional development methods are no longer fast or flexible enough to keep up. This white paper explains how VTT’s Materials Acceleration Platforms (MAPs) combine modelling, AI and high-throughput experimentation to drastically cut development time and cost.
Whether you're navigating new regulations, facing supply chain pressures or exploring new material applications, this is your guide to a faster, smarter way forward.