Olivier Sauter

2002–2022

A researcher in the Science corpus: 5 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Olivier Sauter's perspective

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

1. Adaptive Control of Parabolic PDEs
2. Predicting disruptive instabilities in controlled fusion plasmas through deep learning (Nature)
3. Matrix computations
4. Acme: A Research Framework for Distributed Reinforcement Learning
5. Physics of plasmas
6. Autonomous navigation of stratospheric balloons using reinforcement learning
7. Handbook of Linear Partial Differential Equations for Engineers and Scientists
8. Mathematical control theory of couple PDEs
9. Control Theory for Partial Differential Equations: Continuous and Approximation Theories
10. Transform Methods for Solving Partial Differential Equations

Their papers

• On the physics guidelines for a tokamak DEMO (2013) — 224 citations
• Magnetic control of tokamak plasmas through deep reinforcement learning (2022) — 923 citations
• Real-time physics-model-based simulation of the current density profile in tokamak plasmas (2011) — 158 citations
• Theory of Fusion Plasmas (2007) — 132 citations
• Erratum: “Neoclassical conductivity and bootstrap current formulas for general axisymmetric equilibria and arbitrary collisionality regime” [Phys. Plasmas 6, 2834 (1999)] (2002) — 203 citations