David Rubín de Celis Leal
David Rubín de Celis Leal
Associate Research Fellow
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
Rapid Bayesian optimisation for synthesis of short polymer fiber materials
C Li, DR de Celis Leal, S Rana, S Gupta, A Sutti, S Greenhill, T Slezak, ...
Scientific reports 7 (1), 5683, 2017
64*2017
Study of oxygen plasma pre-treatment of polyester fabric for improved polypyrrole adhesion
T Mehmood, A Kaynak, XJ Dai, A Kouzani, K Magniez, DR de Celis, ...
Materials Chemistry and Physics 143 (2), 668-675, 2014
622014
Improving the mechanical properties of epoxy using multiwalled carbon nanotubes functionalized by a novel plasma treatment
Z Chen, XJ Dai, K Magniez, PR Lamb, DR de Celis Leal, BL Fox, X Wang
Composites Part A: Applied Science and Manufacturing 45, 145-152, 2013
602013
Practical Amine Functionalization of Multi‐Walled Carbon Nanotubes for Effective Interfacial Bonding
Z Chen, XJ Dai, PR Lamb, DR de Celis Leal, BL Fox, Y Chen, J du Plessis, ...
Plasma processes and polymers 9 (7), 733-741, 2012
272012
Efficient and selectable production of reactive species using a nanosecond pulsed discharge in gas bubbles in liquid
XJ Dai, CS Corr, SB Ponraj, M Maniruzzaman, AT Ambujakshan, Z Chen, ...
Plasma Processes and Polymers 13 (3), 306-310, 2016
262016
Accelerating experimental design by incorporating experimenter hunches
C Li, S Rana, S Gupta, V Nguyen, S Venkatesh, A Sutti, D Rubin, T Slezak, ...
arXiv preprint arXiv:1907.09065, 2019
132019
Coating and Functionalization of Carbon Fibres Using a Three‐Step Plasma Treatment
Z Chen, XJ Dai, PR Lamb, J du Plessis, DR de Celis Leal, K Magniez, ...
Plasma processes and polymers 10 (12), 1100-1109, 2013
92013
Process-constrained batch Bayesian optimisation
P Vellanki, S Rana, S Gupta, D Rubin, A Sutti, T Dorin, M Height, ...
Advances in Neural Information Processing Systems, 3414-3423, 2017
42017
Bayesian functional optimisation with shape prior
P Vellanki, S Rana, S Gupta, DR de Celis Leal, A Sutti, M Height, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33, 1617-1624, 2019
32019
Supplementing Cold Plasma with Heat Enables Doping and Nano‐Structuring of Metal Oxides
D Rubín de Celis, Z Chen, MM Rahman, T Tao, DG McCulloch, MR Field, ...
Plasma processes and polymers 11 (9), 897-902, 2014
32014
Optimizing a High-Entropy System: Software-Assisted Development of Highly Hydrophobic Surfaces using an Amphiphilic Polymer
S Subianto, C Li, D Rubin de Celis Leal, S Rana, S Gupta, R He, ...
ACS omega 4 (14), 15912-15922, 2019
12019
Efficient Bayesian Function Optimization of Evolving Material Manufacturing Processes
D Rubín de Celis Leal, D Nguyen, P Vellanki, C Li, S Rana, N Thompson, ...
ACS omega 4 (24), 20571-20578, 2019
2019
Kernel Pre-Training in Feature Space via m-Kernels
A Shilton, S Gupta, S Rana, P Vellanki, C Li, S Venkatesh, L Park, A Sutti, ...
arXiv preprint arXiv:1805.07852, 2018
2018
Covariance Function Pre-Training with m-Kernels for Accelerated Bayesian Optimisation
A Shilton, S Gupta, S Rana, P Vellanki, C Li, L Park, S Venkatesh, A Sutti, ...
arXiv preprint arXiv:1802.05370, 2018
2018
Doped nanostructured semiconductors produced by cold plasma combined with heat
D Rubin De Celis Leal
Deakin Univeristy, 2016
2016
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Articles 1–15