The second edition of our lecture book Deep Learning in Computational Mechanics is now published at Springer. The book introduces fundamental concepts of Machine Learning, (physics informed) Neural Networks, and Machine Learning in Computational Mechanics. It then proceeds to those applications we currently find most promising in the intersection of Deep Learning and Computational Mechanics: Constitutive Modeling, Generative Artificial Intelligence and Inverse Problems. The didactic concept of the lecture book is to provide the theory along with minimal working examples that are yet able to highlight both advantages and drawbacks of the presented approaches compared to classical procedures. The accompanying material of the book includes lecture slides, solutions to the exercises, and coded examples all of which are published free of charge at http://www.deeplearningincomputationalmechanics.com . This additional material is designed to help interested researchers and practitioners to jumpstart their own endeavor.
We welcome Marchellino Ghorayeb as a new scientific staff member.
Mr. Ghorayeb will be involved in research and teaching in the field of deep learning.
Welcome to the team!
His doctoral thesis investigates how deep learning can be used beneficially in computational mechanics. The thesis can be viewed here: https://mediatum.ub.tum.de/?id=1755147
We congratulate you, Leon, are proud of you and look forward to working with you in the future.
On March 31 and April 01 in 2025, the scientific symposium of the Collaborative Research Center Transregio 277 Additive Manufacturing in Construction (AMC) will take place at the Bauhaus-Universität Weimar under the title
Building the Future - From Bauhaus's 'Form Follows Function' to 'Form Follows Material'
in the Maurice-Halbwachs-Auditorium (Audimax) Steubenstraße 6, House F, Weimar.
(Presentations Open to the Public)
Our professorship has a new vacancy for a research assistant (m/f/d) with the aim of promoting further academic qualifications.
This is a full-time position with a weekly working time of 40 hours.
The position is initially limited until 31.08.2028.
An extension is possible in accordance with the applicable regulations of the Wissenschaftszeitvertragsgesetz (WissZeitVG).
The job advertisement (German) can be found here.
The job advertisement (English) can be found here.
We welcome Leon Herrmann as a new scientific staff member.
Mr. Herrmann will be involved in research and teaching in the field of deep learning.
Welcome to the team!
The Chair of Data Science in Civil Engineering is co-organizing the conference Simulation for Additive Manufacturing, SIM-AM 2025, which will take place from 9-11 September 2025 in Pavia, Italy. It traditionally deals with the simulation of additive manufacturing processes in mechanical engineering. This year, however, with Prof. Kloft as plenary speaker and at least one dedicated mini-symposium, it will also be adressing scientific topics in additive manufacturing in construction. The deadline for submitting abstracts is currently April 7, 2025
The Chair of Data Science in Civil Engineering is co-organizer of the first ECCOMAS thematic conference in Artificial Intelligence and Computational Methods. It will be co-hosted with the IACM Digital Twins in Engineering Conference (DTE 2025) from February 17-21, 2025 in Paris. Abstract submission is still open until the 31st of October 2025.
We welcome Matti Christmann as successor to Mr. Oztoprak, who will continue his career after his doctorate with a position at a large software company in Munich.
Mr. Christmann will work in the DFG Transregio 277 'Additive Manufacturing in Construction' and will work in project C01 on the prediction of the load-bearing capacity of additively manufactured components from image data. We are looking forward to further developing numerical methods together with him.
Welcome to the team!
Zum Ende des Sommersemesters 2024 veranstaltet die Professur Data Engineering im Bauwesen erneut den "DEiB-Programmierwettbewerb" für Bauinformatik-Nachwuchstalente, diesmal zum Thema "Kostenkalkulation für Baumaschinen", bei dem die Belegarbeit um interessante Funktionalitäten erweitert werden kann. Der Kreativität sind dabei keine Grenzen gesetzt! Möglich wäre zum Beispiel eine Modifikation hinsichtlich
Teilnahmeberechtigt sind alle Studierenden, die im aktuellen Sommersemester den Beleg „Informatik für Ingenieure, Teil 1“ erfolgreich bearbeitet haben. Es sind Gruppen von 1-2 Studierenden zulässig. Es winken nicht nur Ruhm und Ehre, sondern auch Büchergutscheine oder Sachpreise. Einsendeschluss ist der 08. August 2024. Weitere Informationen finden Sie hier.
Our chair is presenting two research projects as part of the science mile Q3 of the summaery 2024 at the Coudraystaße.
We welcome Oguz Oztoprak as a new scientific staff member.
Mr. Oztoprak follows Prof. Kollmannsberger as a doctoral candidate from TUM to our professorship and will support the professorship in the DFG Transregio 277 'Additive Manufacturing in Construction' and will work on project C01 for a transitional period of five months.
Welcome to the team!
We welcome Dr. Philipp Kopp as a new scientific staff member.
Mr Kopp received his doctorate in engineering from the Technical University of Munich (TUM) and will support the professorship in research and teaching.
We are very pleased that we have been able to recruit him for our team.
On 08 April 2024 11.00 a.m. the course "Engineering Informatics" ("Informatik für Ingenieure") starts with the first lecture by Prof. Dr.-Ing. habil. Stefan Kollmannsberger in lecture hall B, Marienstr. 13c in presence.
The moodle course is:
"Informatik für Ingenieure - Vorlesung SoSe2024" .
We would like to welcome Prof. Dr. Stefan Kollmannsberger at the Chair of Data Sciene in Engineering and are looking forward to working with him.
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