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Saurabh Balkrishna Tandale
Saurabh Balkrishna Tandale
Scientific Researcher, RWTH Aachen University
在 iam.rwth-aachen.de 的电子邮件经过验证 - 首页
标题
引用次数
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Physics-based self-learning recurrent neural network enhanced time integration scheme for computing viscoplastic structural finite element response
SB Tandale, F Bamer, B Markert, M Stoffel
Computer Methods in Applied Mechanics and Engineering 401, 115668, 2022
142022
Intelligent stiffness computation for plate and beam structures by neural network enhanced finite element analysis
S Balkrishna Tandale, B Markert, M Stoffel
International Journal for Numerical Methods in Engineering 123 (17), 4001-4031, 2022
142022
Development of convolutional neural networks for recognition of tenogenic differentiation based on cellular morphology
G Dursun, SB Tandale, R Gulakala, J Eschweiler, M Tohidnezhad, ...
Computer Methods and Programs in Biomedicine 208, 106279, 2021
142021
Smart stiffness computation of one-dimensional finite elements
SB Tandale, B Markert, M Stoffel
Mechanics Research Communications 119, 103817, 2022
132022
Spiking recurrent neural networks for neuromorphic computing in nonlinear structural mechanics
SB Tandale, M Stoffel
Computer Methods in Applied Mechanics and Engineering 412, 116095, 2023
102023
Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder–decoder architecture versus LSTM versus GRU versus TCN topologies to …
SB Tandale, M Stoffel
Computational Mechanics 72 (4), 765-786, 2023
72023
Recognition of tenogenic differentiation using convolutional neural network
G Dursun, S Balkrishna Tandale, J Eschweiler, M Tohidnezhad, B Markert, ...
Current Directions in Biomedical Engineering 6 (3), 200-204, 2020
52020
Physically constrained deep recurrent neural network for stiffness computation of plate structures
SB Tandale, B Markert, M Stoffel
PAMM 22 (1), e202200068, 2023
32023
Prediction of temperature and loading history dependent lumbar spine biomechanics under cyclic loading using recurrent neural networks
N Blomeyer, SB Tandale, LF Nicolini, P Kobbe, T Pufe, B Markert, ...
Annals of Biomedical Engineering 51 (6), 1244-1255, 2023
22023
Brain-inspired spiking neural networks in Engineering Mechanics: a new physics-based self-learning framework for sustainable Finite Element analysis
SB Tandale, M Stoffel
Engineering with Computers, 1-36, 2024
2024
Physics-Based Self-Learning Spiking Neural Network enhanced time-integration scheme for computing viscoplastic structural finite element response
SB Tandale, M Stoffel
Computer Methods in Applied Mechanics and Engineering 422, 116847, 2024
2024
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