Following the success of series of roundtable held online in 2022 and in person at FEMS EUROMAT 2023, FEMS SAG (Strategic Advisory Group) will organise an online meeting for industry stakeholders, part of AI 4 Digital Materials.

The online event aims to enhance discoveries in materials science by refining automated designs for both structural and electronic material models in engineering. It will focus on improving trans-operability among material databases and reverse materials engineering.

Findings from this event will be further discussed at the in-person meeting to be held at the AI 4 Digital Materials 2025 session during FEMS EUROMAT 2025 (Granada, 14-18 September).

Programme & speakers tbc

Speakers

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Prof Lorenz Romaner

Leveraging Machine Learning for Advancements in Computational Materials Design

Development of future high-performance materials requires reliable process-structure-property relationships. Computational materials science has used physical laws for this purpose and many successful material calculation tools on different length scales are available nowadays. Recently, machine learning (ML) approaches have entered this research field providing new opportunities for computational design in several respects. First of all, ML methods can replace and accelerate physics based simulations with surrogate models. In this talk it will be shown how ML algorithms can be trained to atomistic simulations to extended their predictions to large portions of the periodic table in a particular efficient manner. Furthermore, multi-physics simulations on the macro scale can be accelerated by several orders of magnitude. Second, it will be shown how Bayesian inference can be used to calibrate physics based models to provide uncertainty quantification and guided acquisition of new experimental data points which are typically expensive in materials design.

Register to attend

(After registering, you will receive a confirmation email containing information about joining the meeting)

About AI 4 Digital Materials

An interdisciplinary international event that bring together top experts from industry and research institutions utilizing artificial intelligence.