Michelle Kuchera

<i>Colloquium</i>: Machine learning in nuclear physics

A. Boehnlein, Markus Diefenthaler, N. Sato et al. · Reviews of Modern Physics · 2022 · 211 citations · Full text

Precision studies of QCD in the low energy domain of the EIC

Volker Burkert, L. Elouadrhiri, Andrei Afanasev et al. · Progress in Particle and Nuclear Physics · 2023 · 69 citations · Full text

Engineering, Physics, Low Energy Domain +7

Commissioning of the Active-Target Time Projection Chamber

J. Bradt, D. Bazin, Faisal Abu-Nimeh et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2017 · 50 citations

Engineering, Aerospace Engineering, Calibration +5

A.I. for nuclear physics

Paulo F. Bedaque, A. Boehnlein, M. Cromaz et al. · The European Physical Journal A · 2021 · 39 citations · Full text

Experimental Nuclear Physics, Nuclear Physics, Physics +6

Machine learning methods for track classification in the AT-TPC

Michelle Kuchera, R.V. Ramanujan, J.Z. Taylor et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2019 · 32 citations · Full text

Machine Vision, Machine Learning, Engineering +9