Graduation assignment: Investigate molecular dynamics for calculations between surfaces in vacuum
||Research & Development
||Mathematics Physics Mechanics
This is a graduation assignment for a master's student in Applied Mathematics, Physics or Mechanical Engineering who has focused on working with molecular dynamics simulations, has experience with LAMMPS software and is interested in investigating molecur dynamics simulations for calculations of effective sheer strength between surfaces in vacuum.
ASML is constantly pushing the limits of technology into areas where nobody has gone before. Within ASML the Research Department is responsible for innovation and improvement of ASML machines. The Tribology project team within the Flow and Temperature group is in charge of the development of fundamental knowledge in friction and wear and consequent optimization of tribological performance of ASML machine parts.
Currently, comparison of experimental measurements and theoretical simulations shows that there is a direct relation between friction, effective shear strength and the contact area. Information on the contact area can be obtained from the Atomic Force Microscope measurements and Boundary Element Method simulations. The effective shear strength can be calculated using Density Functional Theory (DFT) based Molecular Dynamic (MD) simulations, however, this is a time consuming process. The goal of the project is to access the feasibility of using the classical Molecular Dynamic simulations instead of DFT to calculate the effective shear strength between surfaces in vacuum.
There are two main goals of the project:
- The first is to perform a literature search for existing potentials for a specified pair of materials.
- The second goal is to apply selected potentials using classical MD simulation to predict the effective shear strength in the contact. This will be compared to the values obtained in an experiment.
You are a master’s student in Applied Mathematics, Physics or Mechanical Engineering with a focus on molecular dynamics simulations. You have experience with LAMMPS software and your communication skills in English are excellent.
This is a graduation internship for 5 days a week with a minimum duration of 8 months. The start date is as soon as possible.
Please keep in mind that we can only consider students (who are enrolled at a school during the whole internship period) for our internships and graduation assignments.
What ASML offers
Your internship will be in one of the leading Dutch corporations, gaining valuable experience in a highly dynamic environment. You will receive a monthly internship allowance of 500 euro (maximum), plus a possible housing or travel allowance. In addition, you’ll get expert, practical guidance and the chance to work in and experience a dynamic, innovative team environment.
ASML: Be part of progress
We make machines that make chips – the hearts of the devices that keep us informed, entertained and safe; that improve our quality of life and help to tackle the world’s toughest problems.
We build some of the most amazing machines that you will ever see, and the software to run them. Never satisfied, we measure our performance in units that begin with pico or nano.
We believe we can always do better. We believe the winning idea can come from anyone. We love what we do – not because it’s easy, but because it’s hard.
Students: Getting ready for real-world R&D
Pushing technology further is teamwork, and our R&D team is more than 5,500 people strong, with major sites on three continents. Dozens of diverse, interdisciplinary teams work in parallel to meet a challenging development schedule.
In such an environment, your colleagues may be sitting next door, or they could be thousands of kilometers away in a different country, or even working for a different company.
An internship at ASML is your opportunity to get to know this world of industrial-strength R&D and get a feel for that excites you most. Will you design a part of the machine, or make sure it gets built to the tightest possible specifications? Will you write software that drives the system to its best performance, or work side-by-side with the engineers of our customers in a fab, optimizing a system to the requirements of the customer?
How will you be part of progress?