skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Principle Vibrational Modes - a New Tool to Visualize the Essence of How Atoms Move in Materials

Abstract

No abstract provided.

Authors:
ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1410630
Report Number(s):
LA-UR-17-30742
DOE Contract Number:
AC52-06NA25396
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
74 ATOMIC AND MOLECULAR PHYSICS

Citation Formats

Rudin, Sven Peter. Principle Vibrational Modes - a New Tool to Visualize the Essence of How Atoms Move in Materials. United States: N. p., 2017. Web. doi:10.2172/1410630.
Rudin, Sven Peter. Principle Vibrational Modes - a New Tool to Visualize the Essence of How Atoms Move in Materials. United States. doi:10.2172/1410630.
Rudin, Sven Peter. Mon . "Principle Vibrational Modes - a New Tool to Visualize the Essence of How Atoms Move in Materials". United States. doi:10.2172/1410630. https://www.osti.gov/servlets/purl/1410630.
@article{osti_1410630,
title = {Principle Vibrational Modes - a New Tool to Visualize the Essence of How Atoms Move in Materials},
author = {Rudin, Sven Peter},
abstractNote = {No abstract provided.},
doi = {10.2172/1410630},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Nov 27 00:00:00 EST 2017},
month = {Mon Nov 27 00:00:00 EST 2017}
}

Technical Report:

Save / Share:
  • Mr. Larry Finer from Wisemer and Becker, Architects, reviews his case of presenting a technology for solar thermal electric generation. His company teamed with the California Department of Water Resources and developed a proposal to present to ERDA for research funds to determine the feasibility of the concept. He said ERDA turned the proposal down without any explanations of what the disadvantages were. The next speaker, Mr. Don Hallister from the Lighting Technology Corporation, told how technology is taken from the laboratory to commercialization. He stressed finding the right people for a management team. The team, he says, must bemore » prepared to present a sound commercialization plan with adequate financing data and make sure your position is secure--keep trade secrets secret. Judy Liersch from the ERDA Office of Commercialization relates its experiences and methods of developing the methodology for looking at projects presented to them. The moderator, Raymond Romatowski, ERDA AA for Administration, then presented his views about commercialization. In summary, his observations were (1) there is no simple and universal answer to energy commercialization; (2) whatever is done will cause pain and hardship to some kind of interest group or some sector of society; and (3) successful approaches today may indeed be failures tomorrow. A question-and-answer period followed. (MCW)« less
  • Reactor core simulations require the construction and mesh generation for core models consisting of lattices of fuel and other rods grouped into assemblies, and lattices of assemblies of several types grouped into a core model. A set of tools has been described for generating assembly and core lattice models. Both rectangular and hexagonal lattices are supported. The tools operate in three stages. First, assembly models of various types can be generated by the AssyGen tool, based on input describing the content of unit cells, the arrangement of unit cells in the lattice, and the extent of the lattice and anymore » surrounding material. After generating the assembly model, the model is meshed with the CUBIT mesh generation toolkit, optionally based on a journal file output by AssyGen. After one or more assembly model meshes have been constructed, they are arranged in a core model using the CoreGen tool. The input for CoreGen is similar to that of AssyGen, with assembly models substituted for unit cells. AssyGen and CoreGen also annotate the models with material and volume groupings necessary for specifying materials and boundary conditions required by the analysis. The AssyGen and CoreGen tools are packaged in the open-source MeshKit library for mesh generation; download and build instructions are included in this document.« less
  • The analytical electron microscope (AEM) is proving to be a powerful tool for the study and characterization of engineering materials including metals, ceramics and polymers. The power of this technique lies in its ability to examine materials at high spatial resolution. High resolution characterization is possible via several techniques including high resolution imaging in which features less than 1 nm can be resolved, high resolution compositional analysis by x-ray energy dispersive spectrometry and electron energy loss spectrometry in which chemical compositions can be determined from volumes less than 50 nm in diameter, and high resolution convergent beam microdiffraction in whichmore » the crystallographic nature of small volumes, less than 50 nm in diameter, of the material can be determined. With these techniques it is possible to characterize reactions within materials and between materials at a spatial scale unattainable by other analytical techniques. The basic principles of AEM are described and several examples of applications to materials discussed. Specific examples include characterization of uranium alloys, analysis of hot-cracking failures in austenitic stainless steel weldment heat affected zones, and diffusion in refractory metal alloys.« less
  • A task force was commissioned in the Spring of Fiscal Year (FY) 1988 to develop a detailed plan for moving the fuel and test article fabrication capabilities from the 308 Building to the Fuels and Materials Examination Facility (FMEF) Fuel Assembly Area (FAA). This report presents that plan. Appendix A lists the task force membership.
  • In the past decade, a great deal of effort has been focused in research and development of versatile robotic ground vehicles without understanding their performance in a particular operating environment. As the usage of robotic ground vehicles for intelligence applications increases, understanding mobility of the vehicles becomes critical to increase the probability of their successful operations. This paper describes a framework based on conservation of energy to predict the maximum mobility of robotic ground vehicles over general terrain. The basis of the prediction is the difference between traction capability and energy loss at the vehicle-terrain interface. The mission success ofmore » a robotic ground vehicle is primarily a function of mobility. Mobility of a vehicle is defined as the overall capability of a vehicle to move from place to place while retaining its ability to perform its primary mission. A mobility analysis tool based on the fundamental principle of conservation of energy is described in this document. The tool is a graphical user interface application. The mobility analysis tool has been developed at Sandia National Laboratories, Albuquerque, NM. The tool is at an initial stage of development. In the future, the tool will be expanded to include all vehicles and terrain types.« less