M⁵

- Micro Mechanics and Multiscale Materials Modeling

News

	14.11.2024	All CMS-students supervised in M⁵ group successfully passed their PPP with fine results - Congratulations! Supervision of CMS-Students in their Personal Programming Project (PPP) by the members of M⁵-group in Summer Semester 2024: M.Sc. Felix-Daniel Rajendran, supervision of: Alfred, Akash Kumar: Chemo-mechanical coupled phase-field model for simulation of stress corrosion cracking Dr. Arun Prakash, supervision of: Vishwanath, Pradyumna Gubbiga:Comparing various atomic descriptors for atomic environment Rao, Sathvik Kangokar Mukesh: XFEM based quasi-static moving dislocation modelling Gopalagowda, Sumanth: Python Implementation of Various Deformation Measures for Atomistic Simulations Prof. Dr. B. Eidel, supervision of: Deshmukh, Aditya:Inverse design of mechanical metamaterials exhibiting nonlinear behavior under tension-to-compression loading via video denoising diffusion models Narkhede, Rahul Vishnu:Multiaxial fatigue life prediction using deep learning Neelakandan, Aagashram: Novel Finite Element Solver for High-Performance FEM-MS Coupling
	22.-27.09.2024	mmm11 in Prag Talk by B. Eidel: "Novel Aspects of Deep Learning in Microstructure-Property Prediction for Elastic Homogenization".
	18.-20.09.2024	IWACOM IV in Kitakyushu Talk by B. Eidel: "Towards Universal Predictors for Microstructure-Property Linkages Through Deep Learning".
	29^th February 2024	Successful defense of Felix-Daniel Rajendran's Master Thesis *"FEniCSx-Implementation of Some Coupled Problems of Computational Materials Science"*. Supervision by Prof. Eidel
	15^th September 2023	New paper published in Acta Materialia: "The origin of deformation induced topological anisotropy in silica glass" by S. Ganisetti, A. Atila, J. Guénolé, A. Prakash, J. Horbach, L. Wondraczek, E. Bitzek.
$Phase Field Modeling of Diffusion-stress-fracture in Li-Ion Battery$	05.-07.09.2023	COMPLAS 2023 in Barcelona: Talk (Keynote) by B. Eidel "Novel Architectures of Deep Neural Networks for Universal Predictions of Elasticity Tensors in Homogenization".
$Phase Field Modeling of Diffusion-stress-fracture in Li-Ion Battery$	30.05.- 03.06.2023	Annual Meeting of the GAMM in Dresden: Talk (topical speaker) by B. Eidel: "Novel Architectures of Deep Homogenization Neural Networks for Universal Predictions".
$Phase Field Modeling of Diffusion-stress-fracture in Li-Ion Battery$	15.06.2023	Successful defense of Felix-Daniel Rajendran's Personal Programming Project "Phase Field Modeling of Diffusion-stress-fracture in Li-Ion Battery". Supervision by Prof. Eidel
	24^th October 2022	Paper accepted for publication in Computer Methods in Applied Mechanics and Engineering: B. Eidel: Deep CNNs as Universal Predictors of Elasticity Tensors in Homogenization
	27^th - 29^th September 2022	MSE Congress in Darmstadt: Talk by B. Eidel: "Deep Learning Predicts Elasticity Tensors And Their Bounds In Homogenization By Links To Microstructure"
	15^th - 19^th August 2022	Annual Meeting of the GAMM in Aachen: Talk by B. Eidel: “Deep CNNs Learn Lessons of Homogenization to Predict Elasticity Tensors With Bounds”
	29^th July 2022	PhD/Postdoc position available: In the Micromechanical Materials Modeling group of Prof. Eidel there is a Postdoc/PhD position available, which is funded by the DFG. Deadline for application is August 22. For further information please follow the contactS.
	1^st February 2022	New Head of Chair of Micromechanical Materials Modelling: Prof. Dr.-Ing. habil. Bernhard Eidel has accepted the call to the professorship/chair "Micromechanical Materials Modelling". He took up this position on 1st February 2022 as the successor to Prof. Dr. Stefan Sandfeld. Until the end of January 2022, he was employed at the University of Siegen as head of the DFG Heisenberg Group at the Institute of Mechanics and as a private lecturer in, among other things, engineering mechanics. We congratulate Prof. Eidel on his appointment to this professorship and wish him every success and pleasure in his new task. For more details please click here.