Ben Snow profile photo

Ben Snow

EngD Researcher | Computational Physicist

bensnows@gmail.com | LinkedIn | GitHub

About Me

I am an EngD candidate at Griffon Marine, focusing on amphibious simulations for pilot training (Advisor: Prof. Jian Chang). My academic background includes an MPhys from the University of Manchester, where I researched two-dimensional materials for graphene spintronics (Advisor: Dr. Ivan Vera-Marun), and a year abroad at the University of Maryland College Park.

Education

Papers & Publications

Magnetotransport in Thin Cobalt Films for Spintronics Applications

Fabrication and measurement of nanodevices for studying resistivity, anisotropic magnetoresistance, and thermopower in cobalt films on hBN and SiO₂. Results have implications for graphene-based spintronic devices.

Magnetoresistance and Magneto-Thermoelectric Transport in a Thin Cobalt Film on Hexagonal Boron Nitride and Silicon Dioxide Substrates

Investigates the electrical and thermal properties of thin cobalt films on different substrates, focusing on magnetoresistance and thermopower. Device fabrication, experimental setup, and implications for spintronics are discussed.

Neutrinoless Double Beta Decay and the Theory Behind the Possible Majorana Nature of the Neutrino

Explores theoretical and experimental aspects of neutrinoless double beta decay, focusing on the distinction between Dirac and Majorana neutrinos and the implications for particle physics.

Supporting Inclusive Debate on Advanced Air Mobility: An Evaluation

Evaluates public engagement strategies for advanced air mobility technologies, including the use of VR to communicate drone and eVTOL concepts. Focuses on inclusivity, public perception, and the challenges of community representation.

Navigating the Skies: A Serious Game for Exploring Drone Energy Consumption, Flight Risk, and Societal Impact in Logistics

Describes the design and implementation of a serious game to engage the public in drone logistics, focusing on energy use, flight risk, and societal impact. Developed with Unity3D, the game integrates real-world data for route planning.

A Finite Difference Approach to Solving the Navier-Stokes Equations for the 2-D Lid Driven Cavity Problem

A computational physics project modeling fluid flow in a square cavity using finite difference methods to solve the Navier-Stokes equations. Explores boundary conditions, numerical stability, and visualizes pressure/velocity fields.

Past Projects