Conference
ACTIVE
18th June, 2026
KPT 2027 : KomPlasTech & NeuroMet - Joint conference on computer methods and artificial intelligence in materials technology (ECCOMAS Thematic Conference)
Submission Deadline:
29th January, 2027
— 224 days remaining
About the Conference
Conference topics
- New computational techniques for modelling in control
- Numerical simulations of casting, semi-solid forming, thixoforming, metal forming and heat treatment
- Numerical simulations of heat transfer, microstructure evolution, phase transformations, diffusion and prediction of product properties
- Rheological models and application of inverse analysis to identification of model parameters
- Multiscale material models based on cellular automata, molecular dynamics, Monte Carlo and related methods
- Boundary conditions in modelling of processes in materials engineering
- Computer aided design of tools and technology in materials processing; energy-saving and environment-protecting technologies
- Artificial intelligence and machine learning in materials science and process control
- Databases and knowledge bases in materials engineering
- Digital materials, digital twins, applications of virtual and augmented reality
- Computer systems for the metallurgical and materials industry
- Data analysis and data safety in industry
KomPlasTech was founded in 1993 in Kraków by Professors Maciej Pietrzyk (AGH) and Antoni Piela (Silesian University of Technology) as a national conference on computer methods in metals technology. In the early 2000s its scope widened to all materials and the meeting became international, beginning with the 2007 edition in Zakopane. It brings together researchers in computer methods and materials science with industrial partners, to exchange information and experience on numerical modelling across scales — macro, meso, micro and nano. The 2027 meeting is the thirtieth in the series.
NeuroMet, is a platform for exchanging experience in applying artificial intelligence to the simulation and control of metallurgical processes. Its programme spans machine learning, Industry 4.0, data analysis and optimisation, physics-informed neural networks and large language models.
The conference is as much a meeting place for companies as for academia: a forum where researchers and industry partners exchange ideas, knowledge and experience on the complex problems of materials processing — putting numerical modelling and artificial intelligence in the same room, where they increasingly belong.
The conference is hosted by AGH University of Krakow, the institution that founded the KomPlasTech series in 1993 and remains one of Europe’s leading centres for computational methods in materials engineering.
- New computational techniques for modelling in control
- Numerical simulations of casting, semi-solid forming, thixoforming, metal forming and heat treatment
- Numerical simulations of heat transfer, microstructure evolution, phase transformations, diffusion and prediction of product properties
- Rheological models and application of inverse analysis to identification of model parameters
- Multiscale material models based on cellular automata, molecular dynamics, Monte Carlo and related methods
- Boundary conditions in modelling of processes in materials engineering
- Computer aided design of tools and technology in materials processing; energy-saving and environment-protecting technologies
- Artificial intelligence and machine learning in materials science and process control
- Databases and knowledge bases in materials engineering
- Digital materials, digital twins, applications of virtual and augmented reality
- Computer systems for the metallurgical and materials industry
- Data analysis and data safety in industry
KomPlasTech was founded in 1993 in Kraków by Professors Maciej Pietrzyk (AGH) and Antoni Piela (Silesian University of Technology) as a national conference on computer methods in metals technology. In the early 2000s its scope widened to all materials and the meeting became international, beginning with the 2007 edition in Zakopane. It brings together researchers in computer methods and materials science with industrial partners, to exchange information and experience on numerical modelling across scales — macro, meso, micro and nano. The 2027 meeting is the thirtieth in the series.
NeuroMet, is a platform for exchanging experience in applying artificial intelligence to the simulation and control of metallurgical processes. Its programme spans machine learning, Industry 4.0, data analysis and optimisation, physics-informed neural networks and large language models.
The conference is as much a meeting place for companies as for academia: a forum where researchers and industry partners exchange ideas, knowledge and experience on the complex problems of materials processing — putting numerical modelling and artificial intelligence in the same room, where they increasingly belong.
The conference is hosted by AGH University of Krakow, the institution that founded the KomPlasTech series in 1993 and remains one of Europe’s leading centres for computational methods in materials engineering.
Topics of Interest
4 topicsResearch papers are invited in, but not limited to, the following areas:
Venue Information
Kraków, Poland
Special conference rates often available near the venue.
Comments
Share context, clarifications, or discussion about this CFP.
Please sign in to leave a comment. Sign in
No comments yet. Be the first to start the discussion.