Thu, 16 September, 2021
The FORGE consortium is pleased to announce the publication of the 2nd issue of its Newsletter. Click here to download the issue and find out more about:
PAVING THE WAY FOR HIGH-ENTROPY ALLOY MACHINE LEARNING
The FORGE project will train a machine learning (ML) model with the ultimate goal to develop a machine learning based decision support system to help material scientists and engineers discover novel Compositionally complex alloys (CCAs) with targeted properties with a minimum number of trial and errors. Read More
HIGH-THROUGHPUT SCREENING: CALPAHD FOR MATERIAL DESIGNS
Integration of CALculation of PHAse Diagrams (CALPHAD) method into Integrated Computational Materials Engineering (ICME) approach tends to accelerate discovery of novel materials via high-throughput screening, which is a promising method for processing and calculating vast volume of datasets in a good efficiency. Read More
XAI GUIDED DESIGN AND EXPLORATION SYSTEM FOR CCAS & CCCS
Machine learning (ML) methods (specifically, Artificial Neural Networks or Deep Learning, DL) have proven to be well suited to handle large data set with large number input parameter space in order to capture underlying features of a problem at hand. The FORGE project partners will produce a large volume of experimentally measured dataset on CCA properties (Corrosion resistance, H2-embrittlement, Wear /Hardness) and CCC properties (Coefficient of thermal Expansion (CTE), Corrosion Rate) from a selected element pool. This will allow development of ML/DL models that learns general features of the CCA/CCC compositions and their properties. Read more
FORGE EXPLORES COMPOSITIONALLY COMPLEX CERAMICS
Due to the wide field of possible compositions, CCCs are a promising field to develop new materials with excellent and precisely adjusted properties. In project Forge, CCC coating materials will be developed. The properties of the CCC coatings, such as corrosion resistance, coefficient of thermal expansion, etc., will be adjusted in such a way that the service life of refractories in ceramic kilns will be significantly increased. Read More
COMPOSITIONALLY COMPLEX ALLOYS – AN OVERVIEW
The near-infinite composition map provided by compositionally complex alloy strategy enables the design of alloys with various properties for specific applications. Read more
Previous issues
FORGE Newsletter Issue 1