Bryan Reynolds

Physics and Astronomy · The Ohio State University

Mid career · publishing since 2013Rising activity

Particle physics theoretical and experimental studies High-Energy Particle Collisions Research Particle Detector Development and Performance Computational Physics and Python Applications Quantum Chromodynamics and Particle Interactions

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2013

Research summary

AI-generated

Bryan Reynolds works on instrumentation and computational methods for physics and space science, including using evolutionary/genetic algorithms to design and optimize scientific instruments such as neutrino-detecting antennas, and contributing to mission concepts for studying Earth's magnetosphere (the magnetic 'bubble' around Earth) and reconnection processes there. The work spans particle physics detector development and space plasma physics, with a strong emphasis on applying computational optimization techniques to hardware design.

Instrumentation design and optimizationGenetic/evolutionary algorithms in scienceNeutrino detector developmentSpace plasma physics and magnetopause reconnectionComputational physics tools

Publication output was minimal before 2021 but increased substantially from 2021 onward, peaking in 2023, with continued but somewhat reduced activity through 2025-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 5.6/year recently

Recent publications

ECLIPSE: An Evolutionary Computation Library for Instrumentation Prototyping in Scientific Engineering
arXiv (Cornell University) · 2026
Compression and Reconnection Investigations of the MagnetoPause (CRIMP) - An Early Career SWMI Mission Concept
2025
Compression and Reconnection Investigations of the MagnetoPause (CRIMP): A Mission Concept to Uncover the Impact of Mesoscale Reconnection and Plasma Outflow Processes at the Dayside Magnetopause
arXiv (Cornell University) · 2025
Using Genetic Algorithms to Optimize Antenna Designs for Improved Sensitivity to Ultra-High Energy Neutrinos
2023

Publishes in

arXiv (Cornell University)×10
DESY Publication Database (PUBDB) (Deutsches Elektronen-Synchrotron)×8
CERN Document Server (European Organization for Nuclear Research)×3
Physics Letters B×2
Physical review. D/Physical review. D.×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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