Matthew Fu, Ph.D.
Ph.D. with expertise in sensors and diverse start-up experience
Research Expertise
Publications
Turbulent drag reduction over air- and liquid- impregnated surfaces
Physics of Fluids / Jan 01, 2016
Rosenberg, B. J., Van Buren, T., Fu, M. K., & Smits, A. J. (2016). Turbulent drag reduction over air- and liquid- impregnated surfaces. Physics of Fluids, 28(1). https://doi.org/10.1063/1.4939272
Fully resolved measurements of turbulent boundary layer flows up to
Journal of Fluid Mechanics / Jul 20, 2018
Samie, M., Marusic, I., Hutchins, N., Fu, M. K., Fan, Y., Hultmark, M., & Smits, A. J. (2018). Fully resolved measurements of turbulent boundary layer flows up to. Journal of Fluid Mechanics, 851, 391–415. https://doi.org/10.1017/jfm.2018.508
Liquid-infused surfaces as a passive method of turbulent drag reduction
Journal of Fluid Mechanics / Jul 10, 2017
Fu, M. K., Arenas, I., Leonardi, S., & Hultmark, M. (2017). Liquid-infused surfaces as a passive method of turbulent drag reduction. Journal of Fluid Mechanics, 824, 688–700. https://doi.org/10.1017/jfm.2017.360
An energy-efficient pathway to turbulent drag reduction
Nature Communications / Oct 04, 2021
Marusic, I., Chandran, D., Rouhi, A., Fu, M. K., Wine, D., Holloway, B., Chung, D., & Smits, A. J. (2021). An energy-efficient pathway to turbulent drag reduction. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-26128-8
Effect of Reynolds number and saturation level on gas diffusion in and out of a superhydrophobic surface
Physical Review Fluids / Dec 26, 2017
Ling, H., Katz, J., Fu, M., & Hultmark, M. (2017). Effect of Reynolds number and saturation level on gas diffusion in and out of a superhydrophobic surface. Physical Review Fluids, 2(12). https://doi.org/10.1103/physrevfluids.2.124005
Comparison between super-hydrophobic, liquid infused and rough surfaces: a direct numerical simulation study
Journal of Fluid Mechanics / Apr 29, 2019
Arenas, I., García, E., Fu, M. K., Orlandi, P., Hultmark, M., & Leonardi, S. (2019). Comparison between super-hydrophobic, liquid infused and rough surfaces: a direct numerical simulation study. Journal of Fluid Mechanics, 869, 500–525. https://doi.org/10.1017/jfm.2019.222
Turbulent nonpremixed cool flames: Experimental measurements, Direct Numerical Simulation, and manifold-based combustion modeling
Combustion and Flame / Nov 01, 2019
Novoselov, A. G., Reuter, C. B., Yehia, O. R., Won, S. H., Fu, M. K., Kokmanian, K., Hultmark, M., Ju, Y., & Mueller, M. E. (2019). Turbulent nonpremixed cool flames: Experimental measurements, Direct Numerical Simulation, and manifold-based combustion modeling. Combustion and Flame, 209, 144–154. https://doi.org/10.1016/j.combustflame.2019.07.034
Elastic filament velocimetry (EFV)
Measurement Science and Technology / Dec 20, 2016
Fu, M. K., Fan, Y., Byers, C. P., Chen, T.-H., Arnold, C. B., & Hultmark, M. (2016). Elastic filament velocimetry (EFV). Measurement Science and Technology, 28(2), 025301. https://doi.org/10.1088/1361-6501/28/2/025301
Investigation of the atmospheric surface layer using a novel high-resolution sensor array
Experiments in Fluids / Mar 23, 2021
Huang, K. Y., Brunner, C. E., Fu, M. K., Kokmanian, K., Morrison, T. J., Perelet, A. O., Calaf, M., Pardyjak, E., & Hultmark, M. (2021). Investigation of the atmospheric surface layer using a novel high-resolution sensor array. Experiments in Fluids, 62(4). https://doi.org/10.1007/s00348-021-03173-z
Development of a nanoscale hot-wire probe for supersonic flow applications
Experiments in Fluids / Sep 09, 2019
Kokmanian, K., Scharnowski, S., Bross, M., Duvvuri, S., Fu, M. K., Kähler, C. J., & Hultmark, M. (2019). Development of a nanoscale hot-wire probe for supersonic flow applications. Experiments in Fluids, 60(10). https://doi.org/10.1007/s00348-019-2797-z
Experimental investigations of liquid-infused surface robustness under turbulent flow
Experiments in Fluids / May 27, 2019
Fu, M. K., Chen, T.-H., Arnold, C. B., & Hultmark, M. (2019). Experimental investigations of liquid-infused surface robustness under turbulent flow. Experiments in Fluids, 60(6). https://doi.org/10.1007/s00348-019-2747-9
Design and validation of a nanoscale cross-wire probe (X-NSTAP)
Experiments in Fluids / May 27, 2019
Fu, M. K., Fan, Y., & Hultmark, M. (2019). Design and validation of a nanoscale cross-wire probe (X-NSTAP). Experiments in Fluids, 60(6). https://doi.org/10.1007/s00348-019-2743-0
A Soft Material Flow Sensor for Micro Air Vehicles
Soft Robotics / Apr 01, 2021
Sundin, J., Kokmanian, K., Fu, M. K., Bagheri, S., & Hultmark, M. (2021). A Soft Material Flow Sensor for Micro Air Vehicles. Soft Robotics, 8(2), 119–127. https://doi.org/10.1089/soro.2019.0130
Turbulent drag reduction by spanwise wall forcing. Part 2. High-Reynolds-number experiments
Journal of Fluid Mechanics / Jul 28, 2023
Chandran, D., Zampiron, A., Rouhi, A., Fu, M. K., Wine, D., Holloway, B., Smits, A. J., & Marusic, I. (2023). Turbulent drag reduction by spanwise wall forcing. Part 2. High-Reynolds-number experiments. Journal of Fluid Mechanics, 968. https://doi.org/10.1017/jfm.2023.498
Development of instrumentation for measurements of two components of velocity with a single sensing element
Measurement Science and Technology / Jan 18, 2018
Byers, C. P., Fu, M. K., Fan, Y., & Hultmark, M. (2018). Development of instrumentation for measurements of two components of velocity with a single sensing element. Measurement Science and Technology, 29(2), 025304. https://doi.org/10.1088/1361-6501/aa99c1
Turbulent drag reduction by spanwise wall forcing. Part 1. Large-eddy simulations
Journal of Fluid Mechanics / Jul 28, 2023
Rouhi, A., Fu, M. K., Chandran, D., Zampiron, A., Smits, A. J., & Marusic, I. (2023). Turbulent drag reduction by spanwise wall forcing. Part 1. Large-eddy simulations. Journal of Fluid Mechanics, 968. https://doi.org/10.1017/jfm.2023.499
SerialTrack: ScalE and rotation invariant augmented Lagrangian particle tracking
SoftwareX / Jul 01, 2022
Yang, J., Yin, Y., Landauer, A. K., Buyukozturk, S., Zhang, J., Summey, L., McGhee, A., Fu, M. K., Dabiri, J. O., & Franck, C. (2022). SerialTrack: ScalE and rotation invariant augmented Lagrangian particle tracking. SoftwareX, 19, 101204. https://doi.org/10.1016/j.softx.2022.101204
A single-camera, 3D scanning velocimetry system for quantifying active particle aggregations
Experiments in Fluids / Jul 19, 2021
Fu, M. K., Houghton, I. A., & Dabiri, J. O. (2021). A single-camera, 3D scanning velocimetry system for quantifying active particle aggregations. Experiments in Fluids, 62(8). https://doi.org/10.1007/s00348-021-03256-x
Examining the inertial subrange with nanoscale cross-wire measurements of turbulent pipe flow at high Reynolds number near the centreline
Journal of Fluid Mechanics / May 26, 2021
Byers, C. P., Hultmark, M., Marusic, I., & Fu, M. K. (2021). Examining the inertial subrange with nanoscale cross-wire measurements of turbulent pipe flow at high Reynolds number near the centreline. Journal of Fluid Mechanics, 919. https://doi.org/10.1017/jfm.2021.382
Experimental Investigation of the Stabilization and Structure of Turbulent Cool Diffusion Flames
2018 AIAA Aerospace Sciences Meeting / Jan 07, 2018
Reuter, C. B., Yehia, O., Won, S. H., Fu, M., Kokmanian, K., Hultmark, M., & Ju, Y. (2018, January 7). Experimental Investigation of the Stabilization and Structure of Turbulent Cool Diffusion Flames. 2018 AIAA Aerospace Sciences Meeting. https://doi.org/10.2514/6.2018-0678
Magnetic Signature of Vertically Migrating Aggregations in the Ocean
Geophysical Research Letters / Mar 04, 2023
Fu, M. K., & Dabiri, J. O. (2023). Magnetic Signature of Vertically Migrating Aggregations in the Ocean. Geophysical Research Letters, 50(5). Portico. https://doi.org/10.1029/2022gl101441
Visual anemometry for physics-informed inference of wind
Nature Reviews Physics / Aug 22, 2023
Dabiri, J. O., Howland, M. F., Fu, M. K., & Goldshmid, R. H. (2023). Visual anemometry for physics-informed inference of wind. Nature Reviews Physics, 5(10), 597–611. https://doi.org/10.1038/s42254-023-00626-8
Resonance sonomanometry for noninvasive, continuous monitoring of blood pressure
Dec 28, 2023
Jimenez, R., Yurk, D., Dell, S., Rutledge, A. C., Fu, M. K., Dempsey, W. P., Abu-Mostafa, Y., Rajagopal, A., & Rajagopal, A. B. (2023). Resonance sonomanometry for noninvasive, continuous monitoring of blood pressure. https://doi.org/10.1101/2023.12.24.23300502
Logarithmic scaling of higher-order temperature moments in the atmospheric surface layer
International Journal of Heat and Fluid Flow / Aug 01, 2023
Huang, K. Y., Fu, M. K., Byers, C. P., Bragg, A. D., & Katul, G. G. (2023). Logarithmic scaling of higher-order temperature moments in the atmospheric surface layer. International Journal of Heat and Fluid Flow, 102, 109162. https://doi.org/10.1016/j.ijheatfluidflow.2023.109162
Video: Simultaneous imaging of zooplankton morphology and wakes through 3D scanning particle image velocimetry
74th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion / Nov 21, 2021
Fu, M., Houghton, I., Du Clos, K., Sutherland, K., & Dabiri, J. (2021, November 21). Video: Simultaneous imaging of zooplankton morphology and wakes through 3D scanning particle image velocimetry. 74th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion. https://doi.org/10.1103/aps.dfd.2021.gfm.v0046
Education
Princeton University
Doctor of Philosophy, Mechanical and Aerospace Engineering / September, 2018
California Institute of Technology
Bachelor of Science, Mechanical and Civil Engineering / June, 2013
Experience
California Institute of Technology
Postdoctoral Scholar Research Associate / July, 2020 — Present
Stanford University
Postdoctoral Scholar / October, 2019 — June, 2020
University of Melbourne
Research Fellow in Fluid Mechanics / July, 2019 — September, 2019
Princeton University
Postdoctoral Research Associate / September, 2018 — June, 2019
Links & Social Media
Join Matthew on NotedSource!
Join Now
At NotedSource, we believe that professors, post-docs, scientists and other researchers have deep, untapped knowledge and expertise that can be leveraged to drive innovation within companies. NotedSource is committed to bridging the gap between academia and industry by providing a platform for collaboration with industry and networking with other researchers.
For industry, NotedSource identifies the right academic experts in 24 hours to help organizations build and grow. With a platform of thousands of knowledgeable PhDs, scientists, and industry experts, NotedSource makes connecting and collaborating easy.
For academic researchers such as professors, post-docs, and Ph.D.s, NotedSource provides tools to discover and connect to your colleagues with messaging and news feeds, in addition to the opportunity to be paid for your collaboration with vetted partners.