Raphaël Pestourie

Statistical and Nonlinear Physics · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 8 citations into it; #8,777 of 10,127 by trust here, #6,727 by citations
• Computational Theory and Mathematics — 5 citations into it

Whom Raphaël Pestourie trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. G. Em Karniadakis
2. Ole Sigmund
3. Lu Lu
4. Dimitri P. Bertsekas
5. Joseph W. Goodman
6. Jorge Nocedal
7. James K. Guest
8. Martin P. Bendsøe
9. Jakob S. Jensen
10. Boyan S. Lazarov

Who trusts Raphaël Pestourie overall

1. Lu Lu
2. Shengze Cai
3. Pengzhan Jin

Papers from Raphaël Pestourie's perspective

Ordered by how strongly the researchers Raphaël Pestourie trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. fPINNs: Fractional Physics-Informed Neural Networks
3. A Limited Memory Algorithm for Bound Constrained Optimization
4. DeepXDE: A Deep Learning Library for Solving Differential Equations
5. Numerical optimization
6. Physics-Informed Neural Networks for Cardiac Activation Mapping
7. Spectral/hp Element Methods for Computational Fluid Dynamics
8. Topology optimization for nano‐photonics
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Learning in Modal Space: Solving Time-Dependent Stochastic PDEs Using Physics-Informed Neural Networks

Their papers

• Physics-informed neural networks with hard constraints for inverse design (2021) — 806 citations