Michael Davies
Title
Cited by
Cited by
Year
Deep learning for flow sculpting: Insights into efficient learning using scientific simulation data
D Stoecklein, KG Lore, M Davies, S Sarkar, B Ganapathysubramanian
Scientific reports 7, 46368, 2017
322017
Hierarchical feature extraction for efficient design of microfluidic flow patterns
KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar
Proceedings of The 1st International Workshop on “Feature Extraction: Modern …, 2015
232015
A deep learning framework for causal shape transformation
KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar
Neural Networks 98, 305-317, 2018
182018
Automated design for microfluid flow sculpting: multiresolution approaches, efficient encoding, and CUDA implementation
D Stoecklein, M Davies, N Wubshet, J Le, B Ganapathysubramanian
Journal of Fluids Engineering 139 (3), 2017
102017
Optimizing isotope substitution in graphene for thermal conductivity minimization by genetic algorithm driven molecular simulations
M Davies, B Ganapathysubramanian, G Balasubramanian
Applied Physics Letters 110 (13), 133107, 2017
72017
Deep action sequence learning for causal shape transformation
KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar
arXiv preprint arXiv:1605.05368, 2016
32016
ARMOR: A Recompilation and Instrumentation-Free Monitoring Architecture for Detecting Memory Exploits
A Grieve, M Davies, PH Jones, J Zambreno
IEEE Transactions on Computers 67 (8), 1092-1104, 2018
12018
Deep Learning for Engineering Big Data Analytics
KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar
Big Data Analytics, 151-166, 2017
2017
Deep Learning for Engineering Big Data Analytics
KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar
Big Data Analytics, 151-166, 2017
2017
Space-Time Finite Elements
M Davies
2017
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