2 citations · 2 across the 2 of their papers we have counts for
3 papers
FlashCart: Fast Cartesian Tensor Products for Equivariant Interatomic Potentials
Viktor Zaverkin, Payman Goodarzi, Sergey V. Sukhomlinov +4
Machine-learned interatomic potentials extend atomistic simulations beyond the length- and timescales accessible to electronic-structure methods. However, the computational cost of…
Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios
Payman Goodarzi, Andreas Schütze, Tizian Schneider
This study extensively compares conventional machine learning methods and deep learning for condition monitoring tasks using an AutoML toolbox. The experiments reveal consistent hi…
Deep convolutional neural networks for cyclic sensor data
Payman Goodarzi, Yannick Robin, Andreas Schütze +1
Predictive maintenance plays a critical role in ensuring the uninterrupted operation of industrial systems and mitigating the potential risks associated with system failures. This…