Integrated Computational Materials, Process and Product Engineering – IC-MPPE 2022

Machine learning (ML) has become a standard tool for accelerating innovation in the materials industry. A particularly well-suited ML application is materials design, wherein a user specifies a number of target properties and constraints (e.g., cost, manufacturability, etc.), and then uses ML to identify materials candidates most likely to meet those requirements. However, a number of key...

The digital transformation of materials science and engineering is driven by societal needs to develop novel materials which are compatible with a circular economy, save resource while they are produced and have extended lifetimes until they are re- or upcycled. Materials platforms help to share the tremendous effort within the community. The platforms are built to offer prototypical...

The development of new and improved materials and the use of existing materials in new applications across different industries are a significant innovation driver and a key factor for the success and sustainability of industry and European society in general.
Today, many more large and small companies rely on numerical simulations to effectively and efficiently design and engineer new...

To cope with the ever-growing needs for high-performance materials, a strong ongoing trend exists worldwide towards installation of material development and processing platforms termed materials acceleration platforms (MAPs). A common element of these initiatives is the transition from stand-alone simulation and characterization tools towards integrated environments combining databases,...