MATERIALS PARK, OH – ASM International has launched Data Ecosystem, which seeks to package digital materials technologies in an all-in-one, convenient platform. The Data Ecosystem Workbench will provide a custom and secure workspace for users to extract value from their analytical work for further discovery or transformation. Data Ecosystem uses advanced analytical tools such as machine learning to accelerate materials and engineering innovation, making the results accessible to the entire STEM community.

The value of the Data Ecosystem starts with collecting and providing relevant materials data. ASM will transform data within its Digital Database products into machine readable formats, as well as form relationships with data contributors to support the industry needs around design simulation and advanced analytics such as machine learning.

The next piece in this initiative is educating users on what can be done and how to do it. Like ASM’s Metallurgy for the Non-Metallurgist course, data management education will be pragmatic. Students will be taught both the “why” and “how” of going faster in a Materials 4.0 business environment. The first two courses will cover heat treat process simulation and materials data management fundamentals.

The last and enabling piece of the Data Ecosystem brings innovative organizations with advanced materials and analytical tools together in one convenient Software as a Service (SaaS) platform — the Data Ecosystem Workbench. This secure platform will provide data structure, storage and computational power for creating advanced analytical work products. ASM will to be working with an initial group of industry-respected Tool Providers for the launch of the Data Ecosystem:

ASCENDS: “The Advanced data SCiENce toolkit for Non-Data Scientists” — a multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) developed an advanced toolkit named ASCENDS to assist scientists or any persons who want to use their data for machine learning.

DANTE Solutions: “A Practical Tool for Heat Treatment Simulation and Thermal Engineering Solutions” - DANTE Solutions maintains an active program of alloy characterization, process modeling consulting, continued innovation in application to new processes (i.e., vacuum carburizing, high pressure gas quenching), and technical support to software licensees.

PANDAT Software: An integrated modeling platform for materials design – CompuTherm is a leading developer of software and databases for thermodynamic and phase diagram calculations as well as kinetic simulations based on the CALPHAD approach.

SMARTUQ: A powerful machine learning and uncertainty quantification (UQ) software tool that incorporates real world variability and probabilistic behavior into engineering and systems analyses. Use of SmartUQ’s easy-to-use tools enables research, manufacturing, and engineering organizations to cut costs, reduce risk, and make better, more informed decisions throughout the product lifecycle.

Key to Metals: ASM will be launching the ASM Global Materials Platform in January 2022 to coincide with the launch of the Data Ecosystem. ASM Global Materials Platform is the result of a collaboration between ASM and Key to Metals around their Total Materia database. The platform will provide the world’s most comprehensive materials database with more than 20 million property records for over 450,000 metallic and non-metallic materials presented in 26 languages and the largest single collection of advanced property data on the planet.

Dr. Ray Fryan, ASM’s Executive Director of Product Development, explained how this platform will fulfill the needs of Industry 4.0 for ASM members. “Data has become the fuel of progress and advanced analytics is the engine that turns data into knowledge and solutions. Whether we’re talking materials design, processing, or performance, Materials 4.0 will accelerate our members’ performance. With our 100+ year history as ‘the materials information society,’ we believe ASM is the logical choice to enable Materials 4.0 for our members. In a nutshell, via Data Ecosystem, we’ll help our members predict more, and experiment less, reuse data more, and recreate data less, and that is a big deal,” said Fryan.