Publications

You can alternatively find my publications on:

1. Google Scholar
2. ResearchGate

Doctoral thesis

• ‘Data Driven Surrogate Frameworks for Computational Mechanics: Bayesian and Geometric Deep Learning Approaches’. Received the Excellent Thesis Award (see here).
  [PDF, Presentation, Slides]

Journal papers

• ‘MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations’. Engineering Applications of Artificial Intelligence (EAAI) 2024.
  Saurabh Deshpande, Stéphane P.A. Bordas and Jakub Lengiewicz.
  [PDF] [DOI] [Code][Presentation]

• ‘Convolution, aggregation and attention based deep neural networks for accelerating simulations in mechanics’. Frontiers in Materials 2023.
  Saurabh Deshpande, Raúl I. Sosa, Stéphane P.A. Bordas and Jakub Lengiewicz.
  [PDF] [DOI] [Code]

• ‘Probabilistic Deep Learning for Real-Time Large Deformation Simulations’. Computer Methods in Applied Mechanics and Engineering (CMAME) 2022.
  Saurabh Deshpande, Jakub Lengiewicz and Stéphane P.A. Bordas.
  [PDF] [DOI]

Conferences

• ‘Novel Geometric Deep Learning Surrogate Framework for Non-Linear Finite Element Simulations’. 14th International Conference of Computational Methods (ICCM), 2023 .
  Saurabh Deshpande, Raúl I. Sosa, Stéphane P.A. Bordas and Jakub Lengiewicz.
  [PDF]

• ‘Real Time Hyper-elastic Simulations with Probabilistic Deep Learning’. 15th World Congress on Computational Mechanics (WCCM), 2022.
  Saurabh Deshpande, Jakub Lengiewicz and Stéphane P.A. Bordas.
  [PDF] [Video]

• ‘Real-Time Large Deformation Simulations Using Probabilistic Deep Learning Framework’. The Platform for Advanced Scientific Computing (PASC), 2022.
  Saurabh Deshpande, Jakub Lengiewicz and Stéphane P.A. Bordas.
  [Poster] [Video]

• ‘Towards realtime patient-specific breast simulations: from full-field information to surrogate model’. 9th World Congress of Biomechanics (WCB), 2022.
  Arnaud Mazier, Thomas Lavigne, Jakub Lengiewicz, Saurabh Deshpande, Stéphane Urcun and Stéphane Bordas

• ‘Real-time large deformations: A probabilistic deep learning approach’. 18th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), 2022.
  Saurabh Deshpande, Jakub Lengiewicz and Stéphane P.A. Bordas.
  [PDF]

• ‘Data Driven Surgical Simulations’. 14th World Congress on Computational Mechanics (WCCM), 2020.
  Saurabh Deshpande, Stéphane Bordas, Lars Beex, Stéphane Cotin and Anina Glumac.
  [PDF]

Review activities for journals

• Applied Mathematical Modelling
• Scientific Reports - Nature