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Mark Fuge
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Deep learning for molecular design—a review of the state of the art
DC Elton, Z Boukouvalas, MD Fuge, PW Chung
Molecular Systems Design & Engineering 4 (4), 828-849, 2019
3552019
Applying machine learning techniques to predict the properties of energetic materials
DC Elton, Z Boukouvalas, MS Butrico, MD Fuge, PW Chung
Scientific Reports 8 (1), 9059-9070, 2018
1342018
Conceptual design and modification of freeform surfaces using dual shape representations in augmented reality environments
M Fuge, ME Yumer, G Orbay, LB Kara
Computer-Aided Design 44 (10), 1020-1032, 2012
782012
Analysis of collaborative design networks: A case study of openideo
M Fuge, K Tee, A Agogino, N Maton
Journal of Computing and Information Science in Engineering 14 (2), 2014
72*2014
Diverse weighted bipartite b-matching
F Ahmed, JP Dickerson, M Fuge
Proceedings of the 26th International Joint Conference on Artificial …, 2017
692017
Aerodynamic design optimization and shape exploration using generative adversarial networks
W Chen, K Chiu, M Fuge
AIAA Scitech 2019 Forum, 2351, 2019
572019
Machine learning algorithms for recommending design methods
M Fuge, B Peters, A Agogino
Journal of Mechanical Design 136 (10), 101103, 2014
482014
Design manifolds capture the intrinsic complexity and dimension of design spaces
W Chen, M Fuge, J Chazan
Journal of Mechanical Design 139 (5), 2017
442017
Airfoil design parameterization and optimization using bézier generative adversarial networks
W Chen, K Chiu, MD Fuge
AIAA journal 58 (11), 4723-4735, 2020
412020
Automatically Inferring Metrics for Design Creativity
M Fuge, J Stroud, A Agogino
ASME 2013 International Design Engineering Technical Conferences and …, 2013
342013
Synthesizing designs with interpart dependencies using hierarchical generative adversarial networks
W Chen, M Fuge
Journal of Mechanical Design 141 (11), 111403, 2019
332019
Beyond the known: Detecting novel feasible domains over an unbounded design space
W Chen, M Fuge
Journal of Mechanical Design 139 (11), 2017
292017
Pattern analysis of IDEO's human-centered design methods in developing regions
M Fuge, A Agogino
Journal of Mechanical Design 137 (7), 071405, 2015
292015
B\'ezierGAN: Automatic Generation of Smooth Curves from Interpretable Low-Dimensional Parameters
W Chen, M Fuge
arXiv preprint arXiv:1808.08871, 2018
272018
Discovering diverse, high quality design ideas from a large corpus
F Ahmed, M Fuge, LD Gorbunov
International Design Engineering Technical Conferences and Computers and …, 2016
262016
Capturing winning ideas in online design communities
F Ahmed, M Fuge
Proceedings of the 2017 ACM Conference on Computer Supported Cooperative …, 2017
252017
How online design communities evolve over time: the birth and growth of OpenIDEO
M Fuge, A Agogino
International Design Engineering Technical Conferences and Computers and …, 2014
222014
Machine learning for engineering design
JH Panchal, M Fuge, Y Liu, S Missoum, C Tucker
Journal of Mechanical Design 141 (11), 2019
212019
Machine learning of energetic material properties
BC Barnes, DC Elton, Z Boukouvalas, DCE Taylor, WD Mattson, MD Fuge, ...
arXiv preprint arXiv:1807.06156, 2018
202018
Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora
DC Elton, D Turakhia, N Reddy, Z Boukouvalas, MD Fuge, RM Doherty, ...
arXiv preprint arXiv:1903.00415, 2019
172019
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