Marcus Stoffel

RWTH Aachen University — Germany

Medicine · Health Sciences

23h-index1.7kcitations184works3.22yr avg
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Research Topics

Osteoarthritis Treatment and Mechanisms(31), Elasticity and Material Modeling(24), Structural Response to Dynamic Loads(24), Spine and Intervertebral Disc Pathology(23), High-Velocity Impact and Material Behavior(23)

Publications184 total

Segmental range of motion of vertebral body tethering: an in-vitro analysis of single-tether, double-tether, and hybrid constructs
Journal of Orthopaedic Surgery and Research·2025Open Access
FPGA-accelerated Binary Neural Networks as a surrogate model for a viscoplastic constitutive law in impulsively loaded beams
Mechanics Research Communications·2025Open Access
Data publishing in mechanics and dynamics: challenges, guidelines, and examples from engineering design
Data-Centric Engineering·2025· 1 citedOpen Access
The impact of AI on engineering design procedures for dynamical systems
arXiv (Cornell University)·2024Open Access
A sustainable neuromorphic framework for disease diagnosis using digital medical imaging
Computer Methods and Programs in Biomedicine Update·2024· 1 citedOpen Access
Physics‐Based Spiking Neural Network as a Surrogate Model for Viscoplastic Material Law in Impulsively Loaded Beams
PAMM·2024Open Access
Developement of Reinforcement Learning based Optimisation Method for Side-Sill Design
arXiv (Cornell University)·2024Open Access
Recurrent neural networks as a physics-based self-learning solver to satisfy plane stress viscoplasticity undergoing isotropic damage
Mechanics Research Communications·2024· 2 citedOpen Access
Data Publishing in Mechanics and Dynamics: Challenges, Guidelines, and Examples from Engineering Design
arXiv (Cornell University)·2024Open Access
Multi‐parameter design optimization of crash box for crashworthiness analysis
PAMM·2024· 1 citedOpen Access
Cell‐preserving scheme for mechanobiological research on dedifferentiation of chondrocytes
PAMM·2024Open Access
Spiking neural networks for nonlinear regression of complex transient signals on sustainable neuromorphic processors
npj Unconventional Computing·2024· 10 citedOpen Access
A generative learning and graph-based framework for computing field variables in Finite Element simulations
Computer Methods in Applied Mechanics and Engineering·2024· 3 citedOpen Access
Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis
Engineering With Computers·2024· 10 citedOpen Access
Physics-Based Self-Learning Spiking Neural Network enhanced time-integration scheme for computing viscoplastic structural finite element response
Computer Methods in Applied Mechanics and Engineering·2024· 10 citedOpen Access
Instabilities of an inflated and extended doubly fiber-reinforced cylindrical membrane under damage processes and different natural configurations of its constituents with application to abnormal artery dilation
Thin-Walled Structures·2024· 10 cited
On the inflation, bulging/necking bifurcation and post-bifurcation of a cylindrical membrane under limited extensibility of its constituents
Mathematics and Mechanics of Solids·2024· 6 cited
Tether pre-tension within vertebral body tethering reduces motion of the spine and influences coupled motion: a finite element analysis
Computers in Biology and Medicine·2023· 6 cited
In vitro study design derived from an in vivo lifting task
PAMM·2023Open Access
Data augmentation for design of concentric tube continuum robots by generative adversarial networks
PAMM·2023· 2 citedOpen Access
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Frequent Co-authors

Bernd Markert(27), Franz Bamer(8), Saurabh Balkrishna Tandale(8), Bei Zhou(6), Rutwik Gulakala(5), Sven Nebelung(5), Agnes Beckmann(5), Dieter Weichert(4), Karsten Gavénis(4), Björn Rath(4), Andreas Prescher(4), Philipp Kobbe(4), Christian Herren(4), Gözde Dursun(4), Ralf Mueller‐Rath(3), Luis Fernando Nicolini(3), Frank Hildebrand(3), Heiko Topol(3), J. Merodio(3), Jan Siewe(3)