1 citations · 1 across the 3 of their papers we have counts for
5 papers
Symbolic Regression for Interpretable Emulation of Proton Collective Flow in Intermediate-Energy Heavy-Ion Collisions
Nicholas Cox, Xavier Grundler, Bao-An Li
Symbolic regression provides an interpretable machine-learning approach for constructing explicit analytic relations between physical inputs and observables. In this work, we devel…
Nonlinear pluggable optics: Digital signal processing-free Intensity Modulated Direct Detection links using analog photonic Next Generation Reservoir Computing
Nicholas Cox, Joseph Murray, Ross T. Schermer +6
In this work, we propose a Nonlinear Pluggable Optic (NLPO) transceiver that combines the low latency and low power consumption of Linear Pluggable Optics (LPO) with the range and…
A broadband silicon photonic-integrated-circuit based RF spectrum analyzer with 10 MHz spectral resolution
Brandon Redding, Joseph B. Murray, Matthew J. Murray +10
Designing miniaturized optical spectrometers is an increasingly active area of research as spectrometers are crucial components for a wide range of applications including chemical…
Photonic frequency multiplexed next-generation reservoir computer
Nicholas Cox, Joseph Murray, Joseph Hart +1
In this work, we introduce and experimentally demonstrate a photonic frequency-multiplexed next generation reservoir computer (FM-NGRC) capable of performing real-time inference at…
Neural Network Emulation of Flow in Heavy-Ion Collisions at Intermediate Energies
Nicholas Cox, Xavier Grundler, Bao-An Li
Applications of new techniques in machine learning are speeding up progress in research in various fields. In this work, we construct and evaluate a deep neural network (DNN) to be…