Saurabh Balkrishna Tandale

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RWTH Aachen University

Germany

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A new neural network enhanced Finite Element approach

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Articles (10)

Year:

2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

Collaborators (3)

Marcus Stoffel

GERMANY

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Bernd Markert

Institute Director, Professor

RWTH Aachen University

GERMANY

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Franz Bamer

GERMANY

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Saurabh Balkrishna Tandale

Research Interests

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Articles (10)

Physics‐Based Spiking Neural Network as a Surrogate Model for Viscoplastic Material Law in Impulsively Loaded Beams

Cell‐preserving scheme for mechanobiological research on dedifferentiation of chondrocytes

Spiking neural networks for nonlinear regression of complex transient signals on sustainable neuromorphic processors

Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis

Physics-Based Self-Learning Spiking Neural Network enhanced time-integration scheme for computing viscoplastic structural finite element response

Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics

Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates

Prediction of Temperature and Loading History Dependent Lumbar Spine Biomechanics Under Cyclic Loading Using Recurrent Neural Networks

Physics-Based Self-Learning Recurrent Neural Network enhanced time integration scheme for computing viscoplastic structural finite element response

Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis

Collaborators (3)

Marcus Stoffel

Bernd Markert

Franz Bamer

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