Novikov : Research

Current Projects:

• Applied Nuclear Physics
• Fundamental symmetry violations in neutron physics
  • NOPTREX experiment
  • Nab experiment
  • n3He experiment
  • NPDG experiment
• High-energy nuclear reactions: Glauber theory
• Stochastic Resonance
• Machine Learning for Scent Verbal Description

Publication list is available at my Google scholar profile or at Research Gate

List of projects for new Undergraduate and Gatton Academy students:

We are always looking for new students to work with us. Below is the list of projects you can immediately contribute to. I believe that as a result you will be able to present at the KY Academy of Science Annual Meeting, Southeast Section of APS meeting, Poster at the Capitol event and other appropriate conferences.

• Damped driven harmonic oscillator
  • We have a modified experimental setup by PASCO which can be used to experimentally measure bifurcations. We are looking for a student(s) who would be interested in taking and analyze data.
  • What you will learn: Classical mechanics, Python programming, data analysis techniques
  • Requirements: time (crucial), University Physics I or equivalent (desired)
• Rolling Can Experiment:
  • I am interested to experimentally and numerically study rolling motion dynamics of partially filled with liquid cylinder along incline.
    • We will study experimentally and numerically how the rolling dynamics is affected by liquid viscosity
  • You can find a brief discussion of a possible experiment in It's in the can: a study of moment of inertia and viscosity of fluids, Stanley J Micklavzina, Physics Education, 39, 1, 2004
  • What you will learn: Classical mechanics, Python programming, experimental technique, data analysis
  • Requirements: time (crucial), University Physics I or equivalent (desired)
• Use of Deep Learning (DL) technique for particle track classification:
  • We use existing Cloud Chamber to observe particle tracks and build DL algorithm to classified particle tracks
  • Various groups are developing a similar approach for a particle classification for various High Energy Physics experiments.
  • What you will learn: Nuclear and particle physics, Python programming, DL data analysis techniques
  • Requirements: time (crucial), some background in programming (desired), Modern Physics or equivalent (desired)
• Computations with GPU:
  • We are looking for student to learn CUDA C to implement various algorithms on NVIDIA 1080Ti GPU or at WKU HPCC
  • What you will learn: CUDA C/C++ programming, Monte Carlo technique
  • Requirements: time (crucial), some background in programming (crucial), background in C or C++ (desired)