Rick Archibald

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Anne GelbJohn G. Kemeny Parents Professor of Mathematics, Dartmouth CollegePatvirtintas el. paštas math.dartmouth.edu
Sergei V. KalininWeston Fulton Chair Professor, UT Knoxville. Chief Scientist, AI/ML for Physical Sciences, PNNLPatvirtintas el. paštas utk.edu
Stephen JesseOak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov
Feng BaoAssociate Professor of Mathematics, Florida State UniversityPatvirtintas el. paštas math.fsu.edu
Bobby G. SumpterOak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov
Kate EvansOak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov
Alex BelianinovR&D Principal ScientistPatvirtintas el. paštas sandia.gov
Albina BorisevichOak Ridge National laboratoryPatvirtintas el. paštas ornl.gov
Eirik EndeveOak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov
Rama VasudevanR&D Staff, Center for Nanophase Materials Sciences at Oak Ridge NationalPatvirtintas el. paštas ornl.gov
Christopher T. SymonsLirioPatvirtintas el. paštas lirio.co
Mathieu DoucetSenior Research Scientist, Oak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov
Suhas SomnathResearch Staff, National Center for Computational Science, Oak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov
Panos G. DatskosNational Renewable Energy LaboratoryPatvirtintas el. paštas nrel.gov
Scott KlaskyOak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov
Qian GongOak Ridge National Lab, Fermilab, Duke UniversityPatvirtintas el. paštas ornl.gov
Kody J. H. LawProfessor at the University of Manchester and AI Research Scientist at MetaPatvirtintas el. paštas meta.com
Benjamin R. BetzlerOak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov
Cory HauckOak Ridge National Laboratory, University of TennesseePatvirtintas el. paštas ornl.gov
William T. HellerGroup Leader; Oak Ridge National LaboratoryPatvirtintas el. paštas ornl.gov

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Rick Archibald

ORNL

Patvirtintas el. paštas ornl.gov - Pagrindinis puslapis

Applied Mathematics & High Performance Computing


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Big–deep–smart data in imaging for guiding materials design SV Kalinin, BG Sumpter, RK Archibald Nature Materials 14, 973--980, 2015	384	2015
Feature selection and classification of hyperspectral images with support vector machines R Archibald, G Fann IEEE Geoscience and remote sensing letters 4 (4), 674-677, 2007	327	2007
Polynomial fitting for edge detection in irregularly sampled signals and images R Archibald, A Gelb, J Yoon SIAM journal on numerical analysis 43 (1), 259-279, 2005	181	2005
A method to reduce the Gibbs ringing artifact in MRI scans while keeping tissue boundary integrity R Archibald, A Gelb IEEE Transactions on Medical Imaging 21 (4), 305-319, 2002	177	2002
Big, deep, and smart data in scanning probe microscopy SV Kalinin, E Strelcov, A Belianinov, S Somnath, RK Vasudevan, ... Acs Nano 10 (10), 9068-9086, 2016	135	2016
Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets A Belianinov, R Vasudevan, E Strelcov, C Steed, SM Yang, A Tselev, ... Advanced Structural and Chemical Imaging 1, 1-25, 2015	132	2015
Anomalous discharge product distribution in lithium-air cathodes J Nanda, H Bilheux, S Voisin, GM Veith, R Archibald, L Walker, S Allu, ... The Journal of Physical Chemistry C 116 (15), 8401-8408, 2012	101	2012
Dynamic scan control in STEM: spiral scans X Sang, AR Lupini, RR Unocic, M Chi, AY Borisevich, SV Kalinin, ... Advanced Structural and Chemical Imaging 2, 1-8, 2016	94	2016
Characterization of discontinuities in high-dimensional stochastic problems on adaptive sparse grids JD Jakeman, R Archibald, D Xiu Journal of Computational Physics 230 (10), 3977-3997, 2011	83	2011
Improving tissue segmentation of human brain MRI through preprocessing by the Gegenbauer reconstruction method R Archibald, K Chen, A Gelb, R Renaut NeuroImage 20 (1), 489-502, 2003	67	2003
Image reconstruction from undersampled Fourier data using the polynomial annihilation transform R Archibald, A Gelb, RB Platte Journal of Scientific Computing 67 (2), 432-452, 2016	65	2016
Support vector machine-based endmember extraction AM Filippi, R Archibald IEEE Transactions on Geoscience and Remote Sensing 47 (3), 771-791, 2008	65	2008
Discontinuity detection in multivariate space for stochastic simulations R Archibald, A Gelb, R Saxena, D Xiu Journal of Computational Physics 228 (7), 2676-2689, 2009	59	2009
Differentially ligand-functionalized microcantilever arrays for metal ion identification and sensing PJ Chapman, Z Long, PG Datskos, R Archibald, MJ Sepaniak Analytical chemistry 79 (18), 7062-7068, 2007	59	2007
2022 review of data-driven plasma science R Anirudh, R Archibald, MS Asif, MM Becker, S Benkadda, PT Bremer, ... IEEE Transactions on Plasma Science 51 (7), 1750-1838, 2023	54	2023
Determining the locations and discontinuities in the derivatives of functions R Archibald, A Gelb, J Yoon Applied Numerical Mathematics 58 (5), 577-592, 2008	54	2008
Progress towards accelerating HOMME on hybrid multi-core systems I Carpenter, RK Archibald, KJ Evans, J Larkin, P Micikevicius, M Norman, ... The International journal of high performance computing applications 27 (3 …, 2013	47	2013
BraggNet: integrating Bragg peaks using neural networks B Sullivan, R Archibald, J Azadmanesh, VG Vandavasi, PS Langan, ... Applied Crystallography 52 (4), 854-863, 2019	44	2019
Accelerated application development: The ORNL Titan experience W Joubert, R Archibald, M Berrill, WM Brown, M Eisenbach, R Grout, ... Computers & Electrical Engineering 46, 123-138, 2015	42	2015
Uncooled MEMS IR imagers with optical readout and image processing N Lavrik, R Archibald, D Grbovic, S Rajic, P Datskos Infrared Technology and Applications XXXIII 6542, 524-531, 2007	42	2007

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