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2010 Summer Meeting

2011 AAPT Summer Meeting
July 30-August 3, 2011
Omaha, Nebraska


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Sessions and Events w/Abstracts

Date: Wednesday, August 03

 

Total Number of Records Found: 3

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GB:   

High Performance Computing
  Location: HC 3028
  Date: Wednesday, Aug.03
  Time: 1:00PM - 2:00PM
  Presider: David Joiner,
  Co-Presiders(s): None
  Equipment: N/A
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GB01:   

High-performance Computing with Undergraduates: From Classrooms to Conferences
  Location: HC 3028
  Date: Wednesday, Aug.03
  Time: 1:00PM - 1:30PM
  Author: Michael W. Roth, University of Northern Iowa
319-273-7336, rothm@uni.edu
  Co-Author(s): None
  Abstract: In the last 20 years, computational physics has become a separate branch of study, right along with theoretical and experimental physics. As our computing resources have advanced, we now rely on massively parallel high-performance computing techniques to simulate and model physical systems. There are many interesting research topics in physics spanning a wide range of length and time scales that are accessible to undergraduate students through direct extension of concepts learned in their sequence of courses. Several such research problems will be discussed in context of their importance and effectiveness in equipping physics undergraduates for success in research environments and promoting interdepartmental collaboration.
  Footnotes: None
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GB02:   

Research with Undergrads in Computational Molecular Biophysics: Successes and Challenges
  Location: HC 3028
  Date: Wednesday, Aug.03
  Time: 1:30PM - 2:00PM
  Author: Patricia Soto, Creighton University
4029807310, PatriciaSoto@creighton.edu
  Co-Author(s): Trang Doan
  Abstract: The computational molecular biophysics group at Creighton University aims at deciphering the biophysics of pathological folding processes of proteins and peptides, a hallmark of neurodegenerative diseases such as Alzheimer's and prion diseases. To this end, high-performance computer (HPC) simulations are implemented in which the motion of individual protein and solvent atoms is mimicked by using techniques from classical statistical mechanics. The multidisciplinary nature of the research appeals to college students from diverse academic backgrounds, each student working on a project tailored to their interests and skills. Students are thus engaged for the very first time and have the opportunity to contribute to a project that utilizes scientific computing to tackle cutting-edge science questions. Remarkably, students build upon their computer literacy and develop enthusiasm in further exploring the HPC technology. A likely explanation of such attitudes is that students are challenged to interact actively with HPC resources and applications. The role as users the students develop empowers them and brings a whole new perspective on the potential use of computing in science, technology, and medicine.
  Footnotes: None
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