Sean Paradiso
Sean Paradiso
Citrine Informatics
Verified email at mrl.ucsb.edu
Title
Cited by
Cited by
Year
High-dimensional materials and process optimization using data-driven experimental design with well-calibrated uncertainty estimates
J Ling, M Hutchinson, E Antono, S Paradiso, B Meredig
Integrating Materials and Manufacturing Innovation 6 (3), 207-217, 2017
852017
Block copolymer self assembly during rapid solvent evaporation: insights into cylinder growth and stability
SP Paradiso, KT Delaney, CJ García-Cervera, HD Ceniceros, ...
ACS Macro Letters 3 (1), 16-20, 2014
832014
Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery
B Meredig, E Antono, C Church, M Hutchinson, J Ling, S Paradiso, ...
Molecular Systems Design & Engineering 3 (5), 819-825, 2018
702018
Overcoming data scarcity with transfer learning
ML Hutchinson, E Antono, BM Gibbons, S Paradiso, J Ling, B Meredig
arXiv preprint arXiv:1711.05099, 2017
352017
Swarm intelligence platform for multiblock polymer inverse formulation design
SP Paradiso, KT Delaney, GH Fredrickson
ACS Macro Letters 5 (8), 972-976, 2016
252016
Inverse design of bulk morphologies in multiblock polymers using particle swarm optimization
MR Khadilkar, S Paradiso, KT Delaney, GH Fredrickson
Macromolecules 50 (17), 6702-6709, 2017
222017
Perspective: Materials informatics across the product lifecycle: Selection, manufacturing, and certification
GJ Mulholland, SP Paradiso
Apl Materials 4 (5), 053207, 2016
222016
Cyclic solvent annealing improves feature orientation in block copolymer thin films
SP Paradiso, KT Delaney, CJ García-Cervera, HD Ceniceros, ...
Macromolecules 49 (5), 1743-1751, 2016
212016
Machine learning–based reduce order crystal plasticity modeling for ICME applications
M Yuan, S Paradiso, B Meredig, SR Niezgoda
Integrating Materials and Manufacturing Innovation 7 (4), 214-230, 2018
102018
Machine learning for alloy composition and process optimization
J Ling, E Antono, S Bajaj, S Paradiso, M Hutchinson, B Meredig, ...
Turbo Expo: Power for Land, Sea, and Air 51128, V006T24A005, 2018
92018
Solving industrial materials problems by using machine learning across diverse computational and experimental data
M Hutchinson, E Antono, B Gibbons, S Paradiso, J Ling, B Meredig
APS March Meeting Abstracts 2018, K32. 002, 2018
32018
Cyclic Solvent Vapor Annealing for Rapid, Robust Vertical Orientation of Features in BCP Thin Films
S Paradiso, K Delaney, G Fredrickson
APS March Meeting Abstracts 2015, D42. 007, 2015
2015
Computational Design and Morphology Engineering of Multiblock Polymer Films
SP Paradiso
UC Santa Barbara, 2015
2015
Dynamical SCFT Simulations of Solvent Annealed Thin Films
S Paradiso, K Delaney, H Ceniceros, C Garcia-Cervera, G Fredrickson
APS March Meeting Abstracts 2014, S19. 009, 2014
2014
Evaporation-induced ordering in solution-cast block copolymer thin films
S Paradiso, K Delaney, H Ceniceros, C Garcia-Cervera, G Fredrickson
APS March Meeting Abstracts 2013, T34. 011, 2013
2013
Particle and fluid diffusivity of non-colloidal suspensions
E Filippidi, A Franceschini, CL Cheung, J Tutmaher, S Paradiso, T Jain, ...
APS March Meeting Abstracts 2011, Z9. 015, 2011
2011
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Articles 1–16