Raphaël Pestourie
Assistant Professor
Develops scientific machine learning for inverse design in electromagnetism.
Raphaël Pestourie's lab at Georgia Tech works in AI for Science. 10 papers since 2023, 1 at top venues, mostly Nature Machine Intelligence. 3 PhD students and 2 master's students. 2 alumni. Applications close .
At a glance
- papers, 2023–2026
- 3/ year
- at T1 venues
- 10%
- PhD students
- 3
- MS students
- 2
- alumni listed
- 2
Papers by yearfrom the lab homepage, 2023–2026
- 2 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 0
- 1 papers2024 · T1 0
- 1 papers2023 · T1 1
T1 venuesOtherVenues: Nature Machine Intelligence
Research focuspaper titles that use each topic's words
- inverse3 papers
- develops scientific0 papers
- scientific machine0 papers
- computational science0 papers
- scientific0 papers
Paper list
From the lab homepage.
20262 papers
- IEEE Transactions on Evolutionary ComputationNeural Operator-enabled Topology-informed Evolutionary Strategy for PDE-Constrained Optimization
- Journal of Heat and Mass TransferPhysics Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation
20256 papers
- IEEE Antennas and Propagation MagazineFast approximate solvers for metamaterials design in electromagnetism
- Small MethodsHiLAB: A Hybrid Inverse-Design Framework
- Photonics Insights, 4(4), R10-R10Integrated photonic spectrometers: a critical review
- NanophotonicsInverse design for robust inference in integrated computational spectrometry
- Advanced Optical MaterialsInverse Design in Nanophotonics via Representation Learning
- Physical Review AppliedTime-reversal-symmetry bounds on electromagnetic fields
20241 paper
- Physical Review AppliedMultiplicative resonant enhancement of chemical detection
20231 paper
- Nature Machine Intelligence (T1)Physics-enhanced deep surrogates for partial differential equations
Where alumni went2 listed
Apply to Georgia TechFall 2027
Georgia Tech Computer Science PhD
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- Single round
- Opens
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- GRE
- optional
- English
- TOEFL/IELTS
- Fee
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Not yet confirmed for this intake.
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Data
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- Papers
- The lab homepage
- Members
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