Comp. Physics Grad Schools

In summary: However, if they were to use chem/biochem methods to measure this, they would use an analytical technique like UV-Vis which is not applicable to their work. So, having a strong physics background is essential for this area of research.
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cscott
782
1
Comp. Physics and Nanotechnology Grad Schools

What do grad schools look for when picking up students in computational physics? Do they expect a degree in computer science with a minor in physics or the other way around? Either?

Same with Nanotechnology: Is physics the standard route? Should you be taking lots of chem classes as well?
 
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Good question. I wonder if a double major in physics and math would work as well.
 
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For computational physics you are a physicist first, not a computer scientist. The majority of a comp sci program is not applicable to computer modeling in physics. You could take a look at Bowers's book "Numerical Modeling in Applied Physics and Astrophysics", its the only decent book I've found on the subject. Applied math classes would be useful, but first and foremost is the physics. Maybe a computer science minor as a physics major, but more comp sci than that is not really helpful for working in computational physics.

The professor who runs our nanotech lab generally recommends large amounts of biochemistry and molecular biology, but they're working on guided self-assembly. I'm not sure if those subjects would be as useful for other facets of nanotechnology.
 
  • #4
franznietzsche said:
For computational physics you are a physicist first, not a computer scientist. The majority of a comp sci program is not applicable to computer modeling in physics. You could take a look at Bowers's book "Numerical Modeling in Applied Physics and Astrophysics", its the only decent book I've found on the subject. Applied math classes would be useful, but first and foremost is the physics. Maybe a computer science minor as a physics major, but more comp sci than that is not really helpful for working in computational physics.

Thanks for this!

franz said:
The professor who runs our nanotech lab generally recommends large amounts of biochemistry and molecular biology, but they're working on guided self-assembly. I'm not sure if those subjects would be as useful for other facets of nanotechnology.

I assume this means in conjunction with being a physics major? Also, does large amounts mean a minor in say biochem, or is that too specific?

What the main reason behind needing all the bio/chem anyway? What specifics do you get that you wouldn't get as a physics major?

Lastly, why is physics the standard route for nanotech over chemistry?

Thanks again.
 
  • #5
cscott said:
Thanks for this!



I assume this means in conjunction with being a physics major? Also, does large amounts mean a minor in say biochem, or is that too specific?

What the main reason behind needing all the bio/chem anyway? What specifics do you get that you wouldn't get as a physics major?

Lastly, why is physics the standard route for nanotech over chemistry?

Thanks again.


Yeah, the students in the lab are physics majors that take chem/biochem classes.

In their case, they are working on guided-self assembly, using custom engineered DNA as a sort of velcro to attach and arrange polystyrene microspeheres into predetermined structures, so chem/biochem is pretty applicable. However, most of their lab work is more physics based. For example, the way they measure their yields is they use a flourescent molecule on the end of the DNA strand, pass light through the solution and measure the amount of light the DNA gives off to determine how much of the DNA is correctly binding to their microspeheres.
 

1. What is computational physics?

Computational physics is a branch of physics that uses computer simulations, numerical methods, and algorithms to study and solve problems in physics. It combines principles of physics, mathematics, and computer science to model and analyze complex physical systems.

2. What are some potential career options for graduates of computational physics programs?

Graduates of computational physics programs can pursue careers in a variety of fields, such as research and development, software development, data analysis, and consulting. They can work in industries such as aerospace, energy, finance, and healthcare, or in academic and government research institutions.

3. What are the key skills and prerequisites for applying to a computational physics graduate program?

Some key skills for a successful career in computational physics include a strong background in mathematics, programming, and physics, as well as critical thinking, problem-solving, and data analysis skills. Prerequisites for applying to a graduate program may vary, but typically include a bachelor's degree in physics or a related field, strong academic performance, and letters of recommendation.

4. What are some highly ranked computational physics graduate programs?

Some highly ranked computational physics graduate programs include the University of California, Berkeley, Massachusetts Institute of Technology, Princeton University, and University of Illinois at Urbana-Champaign. Other programs to consider may include those at top research universities or those with a specific focus on a particular area of computational physics.

5. What are some factors to consider when choosing a computational physics graduate program?

When choosing a computational physics graduate program, some factors to consider may include the program's curriculum, research opportunities, faculty expertise, resources and facilities, location, and financial aid options. It is also important to consider the program's reputation and alumni success in the field, as well as your own career goals and interests.

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