Projects for 2017 are posted below; new projects will continue to be posted through February. To learn more about the type of research conducted by undergraduates, view the 2016 Research Symposium Abstracts.
This is a list of research projects that may have opportunities for undergraduate students. Please note that it is not a complete list of every SURF project. Undergraduates will discover other projects when talking directly to Purdue faculty.
You can browse all the projects on the list, or view only projects in the following categories:
Material Science and Engineering
Center for Materials Under Extreme Environment (CMUXE) - Undergraduate research opportunities
|Research categories:||Bioscience/Biomedical, Computational/Mathematical, Material Science and Engineering, Nanotechnology, Physical Science|
|Desired experience:||Minimum GPA 3.5|
|Number of positions:||3-4|
The Center for Materials Under Extreme Environment (CMUXE) is looking for undergraduate research students for the following areas:
1. Ion beams and plasma interaction with materials for various applications
2. Magnetic and Inertial Nuclear Fusion
3. Laser-produced plasma (LPP) and Discharge-produced plasma (DPP)
4. Nanostructuring of material by ion and laser beams
5. High energy density physics applications
6. Laser-induced breakdown spectroscopy (LIBS)
7. Plasma for biomedical applications
8. Extreme ultraviolet (EUV) lithography
9. Computational physics for nuclear fusion, lithography, and other applications
Research of undergraduate students at CMUXE during previous SURF programs has resulted in students acquiring new knowledge in different areas and led to several joint publications, participation in national and international conferences, seminars, and provided experience in collaborative international research.
Several undergraduate and graduate students working in CMUXE have won national and international awards and have presented their work in several countries including Australia, China, Germany, Ireland, Japan, and Russia.
Position is open to undergraduates in all engineering and science disciplines. High level commitment and participation in group meetings are compulsory. Interested candidates are encouraged to visit the center website below for further information.
Heterogeneous Deformation and Strain Localization as a Precursor to Failure in Aerospace Materials
|Research categories:||Aerospace Engineering, Computational/Mathematical, Material Science and Engineering|
|Preferred major(s):||AAE, MSE, ME, CS|
|Number of positions:||1|
The research we do is building relationships between the material's microstructure and the subsequent performance of the material, in terms of fatigue, fracture, creep, delamination, corrosion, plasticity, etc. The majority of our group’s work has been on advanced alloys and composites. Both material systems have direct applications in Aerospace Engineering, as we work closely with these industries.
We are looking for a motivated, hard-working student interested in research within the field of experimental mechanics of materials. The in situ experiments include advanced materials testing, using state-of-the-art 3d strain mapping. We deposit self-assembled sub-micron particles on the material’s surface and track their displacement as we deform the specimen. Coupled with characterization of the materials microstructure, we can obtain strain localization as a precursor to failure. Specific projects look at increasing the structural integrity of additive manufactured materials and increasing fidelity of lifing analysis to introduce new light weight materials into applications.
Network for Computational Nanotechnology (NCN) / nanoHUB
|Research categories:||Computational/Mathematical, Computer Engineering and Computer Science, Electronics, Material Science and Engineering, Nanotechnology, Other|
|Preferred major(s):||Electrical, Computer, Materials, or Mechanical Engineering; Chemistry; Physics; Computer Science|
|Desired experience:||Serious interest in and enjoyment of programming; programming skills in any language. Physics coursework.|
|Number of positions:||16-20|
NCN is looking for a diverse group of enthusiastic and qualified students with a strong background in engineering, chemistry or physics who can also code in at least one language (such as C or MATLAB) to work on research projects that involve computational simulations. Selected students will typically work with a graduate student mentor and faculty advisor to create or improve a simulation tool that will be deployed on nanoHUB. To learn about this year’s research projects along with their preferred majors and requirements, please go to website noted below.
If you are interested in working on a nanoHUB project in SURF, you will need to follow the instructions below and be sure you talk about specific NCN projects directly on your SURF application, in the text box for projects that most interest you.
1) Carefully read the NCN project descriptions (website available below) and select which project(s) you are most interested in and qualified for. It pays to do a little homework to prepare your application.
2) Select the Network for Computational Nanotechnology (NCN) / nanoHUB as one of your top choices.
3) In the text box that asks about your “understanding of your role in a project that you have identified”, you may discuss up to three NCN projects that most interest you. For each NCN project, be sure to tell us why you are interested in the project and how you meet the required skill and coursework requirements.
Faculty advisors for summer 2017 include: Arezoo Ardekani, Peter Bermel, Ilias Bilionis, Marcial Gonzalez, Marisol Koslowski, Peilin Liao, Guang Lin, Lyudmila Slipchenko, Alejandro Strachan, Janelle Wharry, and Pablo Zavattieri. These faculty represent a wide range of departments: ECE, ME, Civil E, MSE, Nuclear E, Chemistry and Math, and projects may be multidisciplinary.
Examples of previous student work can be found here:https://nanohub.org/groups/ncnsurf.
Purdue AirSense: Creating a State-of-the-Art Air Pollution Monitoring Network for Purdue
|Research categories:||Agricultural, Aerospace Engineering, Bioscience/Biomedical, Chemical, Civil and Construction, Computational/Mathematical, Computer Engineering and Computer Science, Educational Research/Social Science, Electronics, Environmental Science, Industrial Engineering, Innovative Technology/Design, Life Science, Material Science and Engineering, Mechanical Systems, Nanotechnology, Physical Science|
|Preferred major(s):||Any engineering, science or human health major.|
|Desired experience:||Motivation to learn about, and solve, environmental, climate, and human health issues facing our planet. Past experience: working in the lab, analytical chemistry, programming (Matlab, Python, Java, LabVIEW, HTML), electronics/circuits, sensors.|
|Number of positions:||1-2|
Air pollution is the largest environmental health risk in the world and responsible for 7 million deaths each year. Poor air quality is a serious issue in rapidly growing megacities and inside the homes of nearly 3 billion people that rely on solid fuels for cooking and heating. Join our team and help create a new, multidisciplinary air quality monitoring network for Purdue - Purdue AirSense. You will have the opportunity to work with state-of-the-art air quality instrumentation and emerging sensor technologies to monitor O3, CO, NOx, and tiny airborne particulate matter across the campus. We are creating a central site to track these pollutants in real-time on the roof-top of Hampton Hall, as well as a website to stream the data to the entire Purdue community for free. 4-5 students will be recruited to work as a team on this project, which is led by Profs. Brandon Boor (CE) & Greg Michalski (EAPS).
Thermodynamics of Coherent Structures near Phase Transitions
|Research categories:||Computational/Mathematical, Material Science and Engineering, Physical Science|
|Preferred major(s):||Engineering, Physics or Mathematics (any subareas of each)|
|Desired experience:||Knowledge of programming in MATLAB and/or a MATLAB-like high-level language (such as python). Experience writing own computer code and analyzing the numerical output. Basic understanding of partial differential equations. Basic understanding of thermodynamics and classical physics.|
|Number of positions:||1|
Many phenomena in physics, engineering and material science can be addressed by "simple" mathematical models capturing only the essential behavior. Coherent structures are common to all areas of science, from synchronized oscillations of fireflies to Jupiter's red spot. "Simple" (also called phenomenological) models of phase transitions (abrupt changes in system behavior) also exhibit coherent structures and self-organized behavior. When large numbers of coherent structures interact in the presence of noise and/or external driving forces, a thermodynamic limit can be taken, describing the complex system by a single nonlinear partial differential equation for the "field" of coherent structures.
This project is aimed at numerically confirming analytical results obtained recently about such systems. The SURF student will work with the faculty member to further develop simple numerical simulations of partial differential equations using standard software such a MATLAB or Python tools such as numpy and scipy. The SURF student will generate simulations spanning a large parameter space and of sufficient size and accuracy to compute long-time (thermodynamic) averages suitable for comparison to the theory. If successful, the theory-numerics comparison will yield an important journal publication.