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Daniel Stoecklein

Showing results (1-10 of 9) with videos related to

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Analytical Chemistry|December 4, 2018
Nonlinear MicrofluidicsDaniel Stoecklein, Dino Di Carlo
Analytical Chemistry|September 11, 2019
Correction to Nonlinear MicrofluidicsDaniel Stoecklein, Dino Di Carlo
Lab on a Chip|October 12, 2021
Optimized design of obstacle sequences for microfluidic mixing in an inertial regimeMatteo Antognoli, Daniel Stoecklein, Chiara Galletti, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 5, 2018
A deep learning framework for causal shape transformationKin Gwn Lore, Daniel Stoecklein, Michael Davies, et al.
Scientific Reports|April 13, 2017
Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation DataDaniel Stoecklein, Kin Gwn Lore, Michael Davies, et al.
Lab on a Chip|October 1, 2014
Micropillar sequence designs for fundamental inertial flow transformationsDaniel Stoecklein, Chueh-Yu Wu, Keegan Owsley, et al.
Optics Express|December 31, 2020
Scanning two-photon continuous flow lithography for the fabrication of multi-functional microparticlesSamira Chizari, Shreya Udani, Amin Farzaneh, et al.
Microsystems & Nanoengineering|May 7, 2019
Shaped 3D microcarriers for adherent cell culture and analysisChueh-Yu Wu, Daniel Stoecklein, Aditya Kommajosula, et al.
Lab on a Chip|September 5, 2019
FlowSculpt: software for efficient design of inertial flow sculpting devicesDaniel Stoecklein, Michael Davies, Joseph Michael de Rutte, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Analytical Chemistry|December 4, 2018
Nonlinear MicrofluidicsDaniel Stoecklein, Dino Di Carlo
Analytical Chemistry|September 11, 2019
Correction to Nonlinear MicrofluidicsDaniel Stoecklein, Dino Di Carlo
Lab on a Chip|October 12, 2021
Optimized design of obstacle sequences for microfluidic mixing in an inertial regimeMatteo Antognoli, Daniel Stoecklein, Chiara Galletti, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 5, 2018
A deep learning framework for causal shape transformationKin Gwn Lore, Daniel Stoecklein, Michael Davies, et al.
Scientific Reports|April 13, 2017
Deep Learning for Flow Sculpting: Insights into Efficient Learning using Scientific Simulation DataDaniel Stoecklein, Kin Gwn Lore, Michael Davies, et al.
Lab on a Chip|October 1, 2014
Micropillar sequence designs for fundamental inertial flow transformationsDaniel Stoecklein, Chueh-Yu Wu, Keegan Owsley, et al.
Optics Express|December 31, 2020
Scanning two-photon continuous flow lithography for the fabrication of multi-functional microparticlesSamira Chizari, Shreya Udani, Amin Farzaneh, et al.
Microsystems & Nanoengineering|May 7, 2019
Shaped 3D microcarriers for adherent cell culture and analysisChueh-Yu Wu, Daniel Stoecklein, Aditya Kommajosula, et al.
Lab on a Chip|September 5, 2019
FlowSculpt: software for efficient design of inertial flow sculpting devicesDaniel Stoecklein, Michael Davies, Joseph Michael de Rutte, et al.
Pageof 1