Projects in Physics and Technology

PHYS 440
Closed
Concordia University
Montreal, Quebec, Canada
RM
Assistant Professor
2
General
  • Undergraduate; 4th year, 3rd year
  • 15 learners; teams of 4
  • 50 hours per learner
  • Dates set by experience
  • Learners self-assign
Preferred companies
  • 3 projects wanted
  • Anywhere
  • Academic experience
  • Any
  • Agriculture, Manufacturing, Science, Telecommunications, Technology, Environment, Energy, Any, Automotive, Non-profit, philanthropic & civil society, Hospital, health, wellness & medical, It & computing, Airlines, aviation & aerospace, Construction, engineering & trades, Defense & security, Mining, forestry & fishery
Categories
General Data analysis Product or service launch
Skills
writing coding data analysis research physics
Project timeline
  • September 14, 2021
    Experience start
  • October 1, 2021
    Project Scope Meeting
  • October 29, 2021
    Checkpoint Demo
  • November 26, 2021
    Final Presentation
  • December 17, 2021
    Experience end
Overview
Details

Does your organization have a physics-related industrial problem? Our students are excited to help your industry look for solutions via computer modelling and literature reviews of the underlying physics associated with your problem.

Our students are 3rd and 4th years doing projects in our newly revamped Computational Physics course. This is a 1 semester course where students work on individual projects to develop their skills in computational physics. We are particularly looking focusing on projects involving computer modelling, simulation or data analysis. Students would generally work in small groups consulting regularly with members of your team.

Learner skills
Writing, Coding, Data analysis, Research, Physics
Deliverables

The final project deliverables will include:

  1. Documentation for the design of the experiment or software
  2. A midterm writeup on background and experiment or software methods plan
  3. A final presentation and a final report
Project Examples

Students will have had experience in Python and will be developing further skills in machine learning, deep learning, OOF2, LAMMPs, and Quantum Espresso.

Each individual student may have additional skillsets given their own interests and are able to learn related programs.

The project should be self-contained and moderately challenging, while being able to be completed within the 3 month timescale. It should have a strong physics/engineering component.

Potential project examples

  • Running short molecular dynamics simulations of small chemical molecules to answer questions about ligands and binding or protein conformations
  • Simple finite element analysis for initial materials assessment
  • Building a Python tool to model a system of numerical equations
  • Building a machine learning model to classify or make predictions on extant data
Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.

Be willing to read and comment on the student's final presentation.