Atomistic simulation of nanostructured materials

Aiichiro Nakano; Martina E. Bachlechner; Timothy J. Campbell; Rajiv K. Kalia; Andrey Omeltchenko; Kenji Tsuruta; Priya Vashishta; Shuji Ogata; Ingvar Ebbsjo; Anupam Madhukar

doi:10.1109/99.735897

Atomistic simulation of nanostructured materials

Aiichiro Nakano, Martina E. Bachlechner, Timothy J. Campbell, Rajiv K. Kalia, Andrey Omeltchenko, Kenji Tsuruta, Priya Vashishta, Shuji Ogata, Ingvar Ebbsjo, Anupam Madhukar

Research output: Contribution to journal › Article

14 Citations (Scopus)

Abstract

Materials and devices with microstructures on the nanometer scale are revolutionizing technology, but until recently simulation at this scale has been problematic. Developments in parallel computing are now allowing atomistic simulation using multiresolution algorithms, such as fast multipole methods. With these algorithms, researchers may soon be able to simulate applications up to one billion atoms.

Original language	English
Pages (from-to)	68-78
Number of pages	11
Journal	IEEE computational science & engineering
Volume	5
Issue number	4
DOIs	https://doi.org/10.1109/99.735897
Publication status	Published - Oct 1 1998
Externally published	Yes

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/99.735897

Fingerprint Dive into the research topics of 'Atomistic simulation of nanostructured materials'. Together they form a unique fingerprint.

Cite this

Nakano, A., Bachlechner, M. E., Campbell, T. J., Kalia, R. K., Omeltchenko, A., Tsuruta, K., Vashishta, P., Ogata, S., Ebbsjo, I., & Madhukar, A. (1998). Atomistic simulation of nanostructured materials. IEEE computational science & engineering, 5(4), 68-78. https://doi.org/10.1109/99.735897

Atomistic simulation of nanostructured materials. / Nakano, Aiichiro; Bachlechner, Martina E.; Campbell, Timothy J.; Kalia, Rajiv K.; Omeltchenko, Andrey; Tsuruta, Kenji; Vashishta, Priya; Ogata, Shuji; Ebbsjo, Ingvar; Madhukar, Anupam.

In: IEEE computational science & engineering, Vol. 5, No. 4, 01.10.1998, p. 68-78.

Research output: Contribution to journal › Article

@article{3a5529b6827d4b5a8de65a6ce7d2d94a,

title = "Atomistic simulation of nanostructured materials",

abstract = "Materials and devices with microstructures on the nanometer scale are revolutionizing technology, but until recently simulation at this scale has been problematic. Developments in parallel computing are now allowing atomistic simulation using multiresolution algorithms, such as fast multipole methods. With these algorithms, researchers may soon be able to simulate applications up to one billion atoms.",

author = "Aiichiro Nakano and Bachlechner, {Martina E.} and Campbell, {Timothy J.} and Kalia, {Rajiv K.} and Andrey Omeltchenko and Kenji Tsuruta and Priya Vashishta and Shuji Ogata and Ingvar Ebbsjo and Anupam Madhukar",

year = "1998",

month = oct,

day = "1",

doi = "10.1109/99.735897",

language = "English",

volume = "5",

pages = "68--78",

journal = "Computing in Science and Engineering",

issn = "1521-9615",

publisher = "IEEE Computer Society",

number = "4",

}

TY - JOUR

T1 - Atomistic simulation of nanostructured materials

AU - Nakano, Aiichiro

AU - Bachlechner, Martina E.

AU - Campbell, Timothy J.

AU - Kalia, Rajiv K.

AU - Omeltchenko, Andrey

AU - Tsuruta, Kenji

AU - Vashishta, Priya

AU - Ogata, Shuji

AU - Ebbsjo, Ingvar

AU - Madhukar, Anupam

PY - 1998/10/1

Y1 - 1998/10/1

N2 - Materials and devices with microstructures on the nanometer scale are revolutionizing technology, but until recently simulation at this scale has been problematic. Developments in parallel computing are now allowing atomistic simulation using multiresolution algorithms, such as fast multipole methods. With these algorithms, researchers may soon be able to simulate applications up to one billion atoms.

AB - Materials and devices with microstructures on the nanometer scale are revolutionizing technology, but until recently simulation at this scale has been problematic. Developments in parallel computing are now allowing atomistic simulation using multiresolution algorithms, such as fast multipole methods. With these algorithms, researchers may soon be able to simulate applications up to one billion atoms.

UR - http://www.scopus.com/inward/record.url?scp=0032178979&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0032178979&partnerID=8YFLogxK

U2 - 10.1109/99.735897

DO - 10.1109/99.735897

M3 - Article

AN - SCOPUS:0032178979

VL - 5

SP - 68

EP - 78

JO - Computing in Science and Engineering

JF - Computing in Science and Engineering

SN - 1521-9615

IS - 4

ER -