The main idea of this thematic conference is to examine recent advances from mechanics and applied mathematics in a currently very active research domain of multi-scale modeling and computations in application to solids, fluids, structures, systems and different multi-physics problems. One of the motivations for this workshop is to investigate the complementarity of classical multi-physics/multi-scale approaches and model building approaches based on the use of machine learning algorithms. The knowledge accumulated through the long-term efforts of computational mechanics experts provides an a priori selection of efficient reduced models built with appropriate assumptions and kinematic constraints. Classical structural models are also proving to be very useful for building relevant multi-scale and multi-physics models. In parallel, there are many advances in the use of Artificial Intelligence and statistical data analysis algorithms, or machine learning approach to building models for mechanics. How can such approaches be developed in synergy? Can they benefit from each other’s advances? Can model building skills be reduced to the application of artificial intelligence algorithms? It is an explicit goal of this thematic conference, in the true spirit of CEACM, to bring these different communities together, and thus provide a sound basis for a fruitful exchange of ideas among them. The conference seeks also to provide a platform for learning from some of the worlds’ leading specialists coming from aerospace, civil and mechanical engineering, material science, and in the design and analysis of numerical algorithms from applied mathematics.
TOPICS
List of General Topics/Mini-Symposia (MS)
MS-1: Synergy between Engineering Modeling and Machine Learning
Ibrahimbegovic A., Matthies H.G.
MS-2: Methods for Identification, Bayesian Inversion for model calibration and digital twinning in engineering
Kucerova A., Friedman N., Najm H.
MS-3: Modeling and Artificial Intelligence Decision Support for Bioengineering and Bio-fluids
Filipovic N., Kojic M., Kaoui B.
MS-4: Reduced Order Models of Coupled Systems Machine Learning and Uncertainty Quantification
DeVuyst F., Farhat C.
MS-5: Engineering Software and Machine Learning
Korelc J., Patzak B.
MS-6: Multiscale Modeling of Materials and Machine Learning
Zeman J., Doškář M.
MS-7: Multibody Systems and Machine Learning
Polach P., Hajžman M., Šika Z.
MS-8: Probabilistic Modeling and Computations
Sudret B.
MS-9: Inelastic Behavior of Materials and Machine Learning
Meschke G.
MS-10: Fatigue Behavior of Materials and Machine Learning
Vorechovsky M.
MS-11 Honoring Prof. Zdenek Bittnar Contributions
Smilauer V., Máca J.
MS-12: Structure Failure - Instability and Machine Learning
Daniel Straub, Oindrila Kanjilal, Kai Cheng, Iason Papaioannou
According to the preliminary program, the introductory keynote lectures of each day of this conference should set the contents and the boundaries as well as indicate the main issues concerning issues in multi-physics, multi-scale, machine learning applied to different domains of computational mechanics. A number of organized sessions (containing 4-6 papers) will be scheduled at the conference.
The Conference topics to be addressed include:
- Heterogeneous materials
- Complex structures
- Multibody Systems
- Machine Learning
- Biomechanics
- Material and structure failures
- Adaptive modeling
- Mechanics of porous media
- Fluid-structure interaction
- Multi-phase flows
- Wave propagation
- Stochastic Processes
- Uncertainty Propagation
All accepted papers will be published in the form of extended abstracts in a book of Proceedings, along with the textbook containing the selected full-size contributed papers and keynote lectures. A special issue of the scientific Journal of Coupled Systems Mechanics is also planned for publication of selected papers.
MINI-SYMPOSIA
We would like you to contribute to the success of this meeting between different scientific communities in seeking to create a synergy between engineering models (requiring advanced Multiphysics/multiscale) and statistical models (requiring Machine learning).
We can start a Mini-Symposium with at least four lectures (one keynote and three standard lectures) on any topic that fits broad fields of engineering science and applied mathematics.
For a Mini-symposia submission, send an email with
- title
- names and affiliations of organizers
- keywords
- short description of your MS (max 1000 characters)
to ceacm@ceacm.net (MS or PDF files).
Please send us your proposals no later than November 30, 2023.
REGISTRATION
CEACM S4ML 2024 registration package, with early registration paid before March 15, 2024 (cost 600 Euros), includes the proceedings of the keynote and selected lectures and abstracts of other participants, admission to complete the scientific program, welcome reception, lunches, coffee breaks and a visit with a banquet in the old city of Prague.
Late registration fees include a penalty (cost 600+100=700 Euros). The late registration fees paid before May 31, 2024, will guarantee a place in the CEACM S4ML 2024 Final Program. For any later arrival, the presentation place is not guaranteed.
The potential participants are asked to register by filling in the registration form (available at CEACM S4ML 2024 website) and pay the fees according to the calendar. Invoices for payment of the registration fees will be sent to the author after the online registration has been conducted.
Pre-conference course participants' early registration is before March 15, 2024 (costs 350 Euros, including course textbooks). The courses, held June 17-18, 2024, run just before the conference CEACM S4ML 2024. The students are expected to attend one short course (among several offered) if they plan to participate and present at CEACM S4ML 2024.
PAPERS
Authors are invited to submit an abstract of 2 to 4 pages by using the template file on the conference website by December 31, 2023, containing the title of the proposed paper, the full address (including E-mail) and the name of the corresponding author. The authors should indicate to which MS or main conference topic their paper should be related.
Templates can be downloaded here.
For abstract submission please visit: https://ceacm.net/abstract-submission/
Unlocking the Synergy between Multiphysics/Multiscale Modeling and Machine Learning
Venue Information
Are you a current graduate student with a passion for the latest developments in multiphysics, multiscale modeling, and machine learning? If so, the Short Course at the CEACM S4ML 2024 Conference is the perfect opportunity for you. Hosted by the Central European Association for Computational Mechanics (CEACM), this course offers you a unique chance to delve into cutting-edge research in these exciting fields. By enrolling, you'll not only gain access to invaluable knowledge but also become a part of the esteemed CEACM scientific community.
When and Where?
The course is scheduled to run for two days, from June 17th to June 18th, 2024. This perfectly aligns with the CEACM S4ML 2024 Conference, taking place from June 19th to June 21st, 2024. The location is none other than the enchanting city of Prague, situated at the Faculty of Civil Engineering CTU (Czech Technical University). Prague, the historical capital of Bohemia, is a cultural treasure trove with its Romanesque, Gothic, Renaissance, and Baroque architecture. As a pivotal political, cultural, and economic hub in central Europe, it carries a rich history and has played a significant role in European affairs throughout the ages.
Course Objectives
Our primary aim is to provide graduate students and researchers with a comprehensive review of numerical models for multiphysics and multiscale problems. Furthermore, we will explore the latest advancements in machine learning, particularly concerning model reduction, probability aspects, and uncertainty quantification. The course will illuminate the current state-of-the-art in finite element, finite volume, and discrete element modeling of nonlinear problems in computational mechanics, coupled with the latest machine learning research. This will be a vital asset for anyone interested in aerospace, civil and mechanical engineering, and material science.
COURSE PROGRAM OUTLINE
Day I: June 17th, 2024, 14h-18h Basics/ Identification
Multi-physics/Multi-scale 14h-15h (Instructor: Adnan Ibrahimbegovic)
Inverse Problems/Machine Learning 15h-16h (Instructor: Hermann Matthies)
Identification 16h-18h (Instructors: Anna Kucerova, Noemi Friedman)
Day II June 18th, 2024, 9h-18h Applications:
Materials/Multiscale 9h-11h (Instructors: Jan Zeman, Martin Doškář)
Computer Software 11h-12h (Instructor: Bořek Patzák)
Multibody Dynamics 13h-16h (Instructors: Pavel Polach, Michal Hajžman, Zbyněk Šika)
Bioengineering 16h-18h (Instructor: Nenad Filipovic)
Registration
The course registration fee is 350 Euros if paid before March 31, 2024, with a cost increase to 450 Euros after that date. Due to limited availability, early registration is highly recommended. You can register online via the CEACM S4ML 2024 website.
All course participants are also eligible to participate in the CEACM S4ML 2024 Conference, allowing you to experience the full spectrum of scientific advancements and innovation in the field.
Join us in Prague for an unforgettable learning experience at the intersection of multiphysics, multiscale modeling, and machine learning. Expand your horizons, connect with experts, and embrace the future of computational mechanics and scientific innovation. We look forward to welcoming you in 2024!
All the details about the course can be found here.
VENUE INFORMATION
The Conference venue is Prague. Prague (/prɑːɡ/ PRAHG; Czech: Praha [ˈpraɦa] (listen); German: Prag, pronounced [pʁaːk] (listen); Latin: Praga) is the capital and largest city of the Czech Republic and the historical capital of Bohemia. Prague is a political, cultural, and economic hub of central Europe, with a rich history and Romanesque, Gothic, Renaissance and Baroque architectures. It was the capital of the Kingdom of Bohemia and the residence of several Holy Roman Emperors, most notably Charles IV (r. 1346–1378). Prague was an important city to the Habsburg monarchy and the Austro-Hungarian Empire. The city played major roles in the Bohemian and the Protestant Reformations, the Thirty Years' War and in 20th-century history as the capital of Czechoslovakia between the World Wars and the post-war Communist era. It is home to a number of well-known cultural attractions, many of which survived the violence and destruction of 20th-century Europe. Prague is classified as an "Alpha-" global city. Its rich history makes it a popular tourist destination, and as of 2017, the city receives more than 8.5 million international visitors annually.
Prague is also a very pleasant place to spend some leisure time. On the Vltava River, Prague is home to about 1.3 million people. The city has a temperate oceanic climate, with relatively warm summers and chilly winters. The month of June is the best period for a visit, just before the massive arrival of tourists in summer.
Conference venue address:
Prague, Faculty of Civil Engineering
Address: Thákurova 2077/7, 160 00 Prague 6 - Dejvice
https://www.cvut.cz/en/welcome-to-ctu
Travel / Hotels: Prague can easily be reached by a direct flight from most European capitals. The city of Prague provides a wide variety of accommodations.
SOCIAL PROGRAM
Optional excursions for registered participants and accompanying persons will be organized during CEACM S4ML 2024.
The excursions will be organized either in Prague, a city with a rich cultural life, or a number of tourist attractions within easy reach from Prague.
More information will be given in the Final Announcement and through the web page of the conference. Pre-registration for participants and accompanying persons is required.
Conference Website:
https://ceacm.net/s4ml-2024
For further information contact:
CEACM S4ML 2024 Organizers E-mail: ceacm@ceacm.net
Adnan IBRAHIMBEGOVIC
UT Compiègne – Alliance Sorbonne Univ., France
E-mail: adnan.ibrahimbegovic@utc.fr
Anna KUCEROVA
CTU Prague, Czech Republic
E-mail: anna.kucerova@cvut.cz
