A deep learning approach for designed diffraction-based acoustic patterning in microchannels
© 2020, The Author(s). Acoustic waves can be used to accurately position cells and particles and are appropriate for this activity owing to their biocompatibility and ability to generate microscale force gradients. Such fields, however, typically take the form of only periodic one or two-dimensional...
Main Authors: | Raymond, Samuel J, Collins, David J, O’Rorke, Richard, Tayebi, Mahnoush, Ai, Ye, Williams, John |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2021
|
Online Access: | https://hdl.handle.net/1721.1/133101 |
Similar Items
-
Acoustic fields and microfluidic patterning around embedded micro-structures subject to surface acoustic waves
by: Collins, David J., et al.
Published: (2019) -
Self-Aligned Acoustofluidic Particle Focusing and Patterning in Microfluidic Channels from Channel-Based Acoustic Waveguides
by: O’Rorke, Richard, et al.
Published: (2018) -
A computational design framework for two-layered elastic stamps in nanoimprint lithography and microcontact printing
by: Taylor, Hayden, et al.
Published: (2019) -
Bioinspired fibrillar adhesives: a review of analytical models and experimental evidence for adhesion enhancement by surface patterns
by: O’Rorke, Richard D., et al.
Published: (2017) -
Capillary filling in microchannels patterned by posts.
by: Mognetti, B, et al.
Published: (2009)