Follow
Daniel Stoecklein
Title
Cited by
Cited by
Year
Nonlinear microfluidics
D Stoecklein, D Di Carlo
Analytical chemistry 91 (1), 296-314, 2018
1632018
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 (1), 46368, 2017
792017
A case study of deep reinforcement learning for engineering design: Application to microfluidic devices for flow sculpting
XY Lee, A Balu, D Stoecklein, B Ganapathysubramanian, S Sarkar
Journal of Mechanical Design 141 (11), 111401, 2019
682019
Shaped 3D microcarriers for adherent cell culture and analysis
CY Wu, D Stoecklein, A Kommajosula, J Lin, K Owsley, ...
Microsystems & nanoengineering 4 (1), 21, 2018
542018
Micropillar sequence designs for fundamental inertial flow transformations
D Stoecklein, CY Wu, K Owsley, Y Xie, D Di Carlo, ...
Lab on a Chip 14 (21), 4197-4204, 2014
522014
Optimization of micropillar sequences for fluid flow sculpting
D Stoecklein, CY Wu, D Kim, D Di Carlo, B Ganapathysubramanian
Physics of Fluids 28 (1), 2016
392016
Hierarchical feature extraction for efficient design of microfluidic flow patterns
KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar
Feature Extraction: Modern Questions and Challenges, 213-225, 2015
352015
A deep learning framework for causal shape transformation
KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar
Neural Networks 98, 305-317, 2018
302018
Optimized design of obstacle sequences for microfluidic mixing in an inertial regime
M Antognoli, D Stoecklein, C Galletti, E Brunazzi, D Di Carlo
Lab on a Chip 21 (20), 3910-3923, 2021
282021
Flow shape design for microfluidic devices using deep reinforcement learning
XY Lee, A Balu, D Stoecklein, B Ganapathysubramanian, S Sarkar
arXiv preprint arXiv:1811.12444, 2018
232018
Automated design for microfluid flow sculpting: multi-resolution approaches, efficient encoding, and CUDA implementation
D Stoecklein, M Davies, N Wubshet, J Le, B Ganapathysubramanian
Journal of Fluids Engineering, 2016
16*2016
FlowSculpt: Software for efficient design of inertial flow sculpting devices
D Stoecklein, M Davies, JM de Rutte, CY Wu, D Di Carlo, ...
Lab on a Chip 19 (19), 3277-3291, 2019
122019
uFlow: software for rational engineering of secondary flows in inertial microfluidic devices
D Stoecklein, K Owsley, CY Wu, D Di Carlo, B Ganapathysubramanian
Microfluidics and Nanofluidics 22, 1-12, 2018
122018
Scanning two-photon continuous flow lithography for the fabrication of multi-functional microparticles
S Chizari, S Udani, A Farzaneh, D Stoecklein, D Di Carlo, JB Hopkins
Optics Express 28 (26), 40088-40098, 2020
72020
Shape design for stabilizing microparticles in inertial microfluidic flows
A Kommajosula, D Stoecklein, D Di Carlo, B Ganapathysubramanian
Journal of Fluid Mechanics 886, A14, 2020
72020
Kin Gwn Lore, Michael Davies, Soumik Sarkar, and Baskar Ganapathysubramanian. Deep learning for flow sculpting: Insights into efficient learning using scientific simulation data
D Stoecklein
Scientific reports 7, 46368, 2017
62017
Flow sculpting enabled anaerobic digester for energy recovery from low-solid content waste
S Ghanimeh, C Abou Khalil, D Stoecklein, A Kommasojula, ...
Renewable energy 154, 841-848, 2020
42020
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
Pre-arranged sequences of micropillars for passive mixing control of water and ethanol
M Antognoli, L Donato, C Galletti, D Stoecklein, D Di Carlo, E Brunazzi
Chemical Engineering Journal 461, 141851, 2023
22023
Micropillar sequence design for inertial fluid flow sculpting
D Stoecklein, B Ganapathysubramanian, CY Wu, D Di Carlo
Bulletin of the American Physical Society 60, 2015
12015
The system can't perform the operation now. Try again later.
Articles 1–20