MCSC Seminar

Dec
02

Coarse Grained Molecular Dynamics Simulations of Rod-Like Colloids and 3HB DNA nanostructures

  Speaker: Jonathan Adams (MCSC) Room: SHA 356 Abstract: We use Coarse Grained Molecular Dynamics to study two systems. The first is a system of rod-like colloids suspended in a solution of depletants. When a large number of small depeletent particles are in a solution with larger colloids, it is entropically favorable for the colloids […]

By admin |
DETAIL
Nov
18

Price and quality competition while envisioning a quality-related product recall

  Speaker: Amirhossein Ghazi (MCSC), Room: SHA 356, Abstract: Many product recalls are caused by quality-related product failures. When such recalls occur, the effects may not only be limited to the firm selling the product but also to competing firms in the category. This paper analyzes quality and pricing strategies for competing firms facing the […]

By admin |
DETAIL
Nov
04

Solving PDEs with Neural Networks: A Case Study in the Slit-well Microfluidic Device

  Speaker: Andrew Nagel (MCSC) Room: SHA 356 Abstract: Partial differential equations (PDES) are mathematical models that can describe complex phenomena in many scientific disciplines. A new method for solving PDEs, known as the neural network method, is used to approximate solutions with deep neural networks (DNNs) by learning directly from the PDE problem statement. […]

By admin |
DETAIL
Oct
21

Calculating Thermochemical Equilibrium for Multiphysics Simulations of Nuclear Material

  Speaker: Parikshit Bajpai (MCSC) Abstract: Modelling and simulation is playing a key role in design and development of advanced nuclear reactors and computational thermodynamics is an important part of such simulations as it provides the driving forces, material properties and boundary conditions for many physical phenomena such as corrosion. A new equilibrium thermodynamic solver, […]

By admin |
DETAIL
Mar
17
Feb
25
Jan
28
Jan
21

About

The Modelling and Computational Science graduate program offers MSc. and PhD. projects in applied mathematics, physics, computational chemistry, nuclear engineering and marketing and logistics.

Latest News

CONTACT

Email: gradsecretary@science.uoit.ca

Address:

Ontario Tech University
2000 Simcoe Street North
Oshawa, Ontario L1G 0C5
Canada

TOP