Nonconvex Energy Minimization and Relaxation in Computational Material Science

2003 ◽  
pp. 3-20 ◽  
Author(s):  
C. Carstensen
Keyword(s):  
Energy Minimization ◽  
Material Science ◽  
Computational Material Science ◽  
Nonconvex Energy ◽  
Computational Material

VLab: collaborative Grid services and portals to support computational material science

2007 ◽  
Vol 19 (12) ◽  
pp. 1717-1728 ◽  
Author(s):  
Mehmet A. Nacar ◽  
Mehmet S. Aktas ◽  
Marlon Pierce ◽  
Zhenyu Lu ◽  
Gordon Erlebacher ◽  
...  
Keyword(s):  
Material Science ◽  
Grid Services ◽  
Computational Material Science ◽  
Computational Material

COMPUTATIONAL MATERIAL SCIENCE: Roughing It

Science ◽  
1997 ◽  
Vol 277 (5326) ◽  
pp. 647-647 ◽  
Author(s):  
M. Marder
Keyword(s):  
Material Science ◽  
Computational Material Science ◽  
Computational Material

scholarly journals Using virtualization to protect the proprietary material science applications in volunteer computing

2018 ◽  
Vol 8 (1) ◽  
pp. 57-60
Author(s):  
Nikolay P. Khrapov ◽  
Valery V. Rozen ◽  
Artem I. Samtsevich ◽  
Mikhail A. Posypkin ◽  
Vladimir A. Sukhomlin ◽  
...  
Keyword(s):  
Energy Minimization ◽  
Material Science ◽  
Material Design ◽  
Volunteer Computing ◽  
Desktop Grid ◽  
Computational Material ◽  
Original Approach ◽  
Machine Image ◽  
Virtual Machine Image ◽  
Simulation Package

Abstract USPEX is a world-leading software for computational material design. In essence, USPEX splits simulation into a large number of workunits that can be processed independently. This scheme ideally fits the desktop grid architecture. Workunit processing is done by a simulation package aimed at energy minimization. Many of such packages are proprietary and should be protected from unauthorized access when running on a volunteer PC. In this paper we present an original approach based on virtualization. In a nutshell, the proprietary code and input files are stored in an encrypted folder and run inside a virtual machine image that is also password protected. The paper describes this approach in detail and discusses its application in USPEX@home volunteer project.

scholarly journals Virtual Reality in the Computational Material Science.

1993 ◽  
Vol 32 (1) ◽  
pp. 1-5
Author(s):  
Yuji Tateizumi ◽  
Ryoichi Yamamoto ◽  
Toru Matumiya ◽  
Atutugu Nogami
Keyword(s):  
Virtual Reality ◽  
Material Science ◽  
Computational Material Science ◽  
Computational Material

Application of electron holography to material science studies on magnetic domain states of small particles

1993 ◽  
Vol 51 ◽  
pp. 1028-1029
Author(s):  
T. Hirayama ◽  
Q. Ru ◽  
T. Tanji ◽  
A. Tonomura
Keyword(s):  
Magnetic Field ◽  
Material Science ◽  
Science Studies ◽  
Phase Distribution ◽  
Carbon Film ◽  
Objective Lens ◽  
Electron Holography ◽  
Transform Method ◽  
Transmission Electron ◽  
Thin Carbon

The observation of small magnetic materials is one of the most important applications of electron holography to material science, because interferometry by means of electron holography can directly visualize magnetic flux lines in a very small area. To observe magnetic structures by transmission electron microscopy it is important to control the magnetic field applied to the specimen in order to prevent it from changing its magnetic state. The easiest method is tuming off the objective lens current and focusing with the first intermediate lens. The other method is using a low magnetic-field lens, where the specimen is set above the lens gap.Figure 1 shows an interference micrograph of an isolated particle of barium ferrite on a thin carbon film observed from approximately [111]. A hologram of this particle was recorded by the transmission electron microscope, Hitachi HF-2000, equipped with an electron biprism. The phase distribution of the object electron wave was reconstructed digitally by the Fourier transform method and converted to the interference micrograph Fig 1.

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