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
N1 - Funding Information:
This work was supported by the US Department of Energy (grant DE-FG02-96ER-45570), NSF (DMR-977 1903, GER-93550007, ASC-9701504, INT-9603264), US Air Force Office of Scientific Research (F9620-98-1-0086), joint University of Southern California and Louisiana State University Multidisciplinary University Research Initiative (F49620-95-1 -0452), US Army Research Office (DAAH04-96- 1 - 0393), Petroleum Research Fund (3 1659-AC9), NASA (NAC2-12 12, NAG2-1248), Louisiana Education Quality Support Fund (LEQSF) (96-99-RD-A- 1 0), and Austrian Fonds zur Mrderung der wissenschaftlichen Forschung (107 146-PHY I01444-PHY). Simulations at the US Department of Defense’s Major Shared Resource Ce,vters were made possible through a DoD Challenge Applications Award. The computing facilities in the (Con- current Computing Laboratory for Materials Simulations at Louisiana State University were acquired with the Equipment Enhancement Grants from the LEQSF.
PY - 1998/10
Y1 - 1998/10
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.
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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 -