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20212026
most citedRigorous theory of thin-vapor-layer linear optical properties: The case of quenching of atomic polarization upon collisions of atoms with dielectric walls

8 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.ET2026

Power law scaling for classification accuracy in physical neural networks

Andrei V. Ermolaev, Mathilde Hary, Anas Skalli +7

Physical neural networks (PNNs) harness the intrinsic complexity of physical systems to perform neural computation, potentially at speeds and energy efficiencies inaccessible to co…

physics.optics2025★ 6 cited

Limits of nonlinear and dispersive fiber propagation for an optical fiber-based extreme learning machine

Andrei V. Ermolaev, Mathilde Hary, Lev Leybov +5

We report a generalized nonlinear Schrödinger equation simulation model of an extreme learning machine (ELM) based on optical fiber propagation. Using the MNIST handwritten digit d…

nlin.PS2024

Automating physical intuition in nonlinear fiber optics with unsupervised dominant balance search

Andrei V. Ermolaev, Christophe Finot, Goery Genty +1

Identifying the underlying processes that locally dominate physical interactions is the key to understanding nonlinear dynamics. Machine-learning techniques have recently been show…

nlin.PS2023

Analysis of interaction dynamics and rogue wave localization in modulation instability using data-driven dominant balance

Andrei V. Ermolaev, Mehdi Mabed, Christophe Finot +2

We analyze the dynamics of modulation instability in optical fiber (or any other nonlinear Schrödinger equation system) using the machine-learning technique of data-driven dominant…

physics.optics2021★ 8 cited

Rigorous theory of thin-vapor-layer linear optical properties: The case of quenching of atomic polarization upon collisions of atoms with dielectric walls

Andrei Ermolaev, Tigran Vartanyan

Hot alkali metal vapors enclosed in sub-micron spectroscopic cells provide an ideal system for fundamental studies of the atom-wall and atom-light interactions at nanoscale. Here,…