| Precursor-mediated crystallization in suspensions of hard spheres T Schilling, H Schope, M Oettel, G Opletal, I Snook Physical Review Letters 105 (2), 1-4, 2010 | 229* | 2010 |
| Study of the Initial Stage of Solid Electrolyte Interphase Formation upon Chemical Reaction of Lithium Metal and N-Methyl-N-Propyl-Pyrrolidinium-Bis … A Budi, A Basile, G Opletal, AF Hollenkamp, AS Best, RJ Rees, AI Bhatt, ... The Journal of Physical Chemistry C 116 (37), 19789-19797, 2012 | 216 | 2012 |
| Hybrid approach for generating realistic amorphous carbon structure using metropolis and reverse Monte Carlo G Opletal, T Petersen, B O'Malley, I Snook, DG McCulloch, NA Marks, ... Molecular Simulation 28 (10-11), 927-938, 2002 | 172 | 2002 |
| Nanoinformatics, and the big challenges for the science of small things AS Barnard, B Motevalli, AJ Parker, JM Fischer, CA Feigl, G Opletal Nanoscale 11 (41), 19190-19201, 2019 | 83 | 2019 |
| Microstructure of an industrial char by diffraction techniques and Reverse Monte Carlo modelling T Petersen, I Yarovsky, I Snook, DG McCulloch, G Opletal Carbon 42 (12-13), 2457-2469, 2004 | 82 | 2004 |
| Structural analysis of carbonaceous solids using an adapted reverse Monte Carlo algorithm T Petersen, I Yarovsky, I Snook, DG McCulloch, G Opletal Carbon 41 (12), 2403-2411, 2003 | 81 | 2003 |
| Structural modelling of silicon carbide-derived nanoporous carbon by hybrid reverse Monte Carlo simulation AH Farmahini, G Opletal, SK Bhatia The Journal of Physical Chemistry C 117 (27), 14081-14094, 2013 | 69 | 2013 |
| The structure of disordered carbon solids studied using a hybrid reverse Monte Carlo algorithm G Opletal, TC Petersen, DG McCulloch, IK Snook, I Yarovsky Journal of Physics: Condensed Matter 17 (17), 2605, 2005 | 63 | 2005 |
| HRMC: Hybrid Reverse Monte Carlo method with silicon and carbon potentials G Opletal, TC Petersen, B O'Malley, IK Snook, DG McCulloch, I Yarovsky Computer Physics Communications 178 (10), 777-787, 2008 | 51 | 2008 |
| Crystallization in suspensions of hard spheres: a Monte Carlo and molecular dynamics simulation study T Schilling, S Dorosz, HJ Schöpe, G Opletal Journal of Physics: Condensed Matter 23 (19), 194120, 2011 | 48 | 2011 |
| Classification of platinum nanoparticle catalysts using machine learning AJ Parker, G Opletal, AS Barnard Journal of Applied Physics 128 (1), 2020 | 43 | 2020 |
| HRMC_2. 0: Hybrid Reverse Monte Carlo method with silicon, carbon and germanium potentials G Opletal, TC Petersen, IK Snook, SP Russo Computer Physics Communications 184 (8), 1946-1957, 2013 | 38 | 2013 |
| Dynamic self-assembly of detonation nanodiamond in water SLY Chang, P Reineck, D Williams, G Bryant, G Opletal, SA El-Demrdash, ... Nanoscale 12 (9), 5363-5367, 2020 | 36 | 2020 |
| Predicting structure/property relationships in multi-dimensional nanoparticle data using t-distributed stochastic neighbour embedding and machine learning AS Barnard, G Opletal Nanoscale 11 (48), 23165-23172, 2019 | 36 | 2019 |
| Simulating the fabrication of aluminium oxide tunnel junctions MJ Cyster, JS Smith, N Vogt, G Opletal, SP Russo, JH Cole npj quantum information 7 (1), 12, 2021 | 33 | 2021 |
| Chiminey: Reliable computing and data management platform in the cloud II Yusuf, IE Thomas, M Spichkova, S Androulakis, GR Meyer, DW Drumm, ... 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering 2 …, 2015 | 31 | 2015 |
| Stability and transformations of heated gold nanorods G Opletal, G Grochola, YH Chui, IK Snook, SP Russo The Journal of Physical Chemistry C 115 (11), 4375-4380, 2011 | 31 | 2011 |
| Selecting machine learning models for metallic nanoparticles AS Barnard, G Opletal Nano Futures 4 (3), 035003, 2020 | 30 | 2020 |
| HRMC_2. 1: Hybrid Reverse Monte Carlo method with silicon, carbon, germanium and silicon carbide potentials G Opletal, TC Petersen, SP Russo Computer Physics Communications 185 (6), 1854-1855, 2014 | 26 | 2014 |
| Modeling of structure and porosity in amorphous silicon systems using Monte Carlo methods G Opletal, TC Petersen, IK Snook, DG McCulloch The Journal of chemical physics 126 (21), 2007 | 25 | 2007 |
Salvy RussoProfessor of Applied Physics, School of Science , RMIT University確認したメール アドレス: rmit.edu.au