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John Greenhall
John Greenhall
Verified email at lanl.gov
Title
Cited by
Cited by
Year
3D Printing macroscale engineered materials using ultrasound directed self‐assembly and stereolithography
J Greenhall, B Raeymaekers
Advanced Materials Technologies 2 (9), 1700122, 2017
872017
Ultrasound directed self-assembly of user-specified patterns of nanoparticles dispersed in a fluid medium
J Greenhall, F Guevara Vasquez, B Raeymaekers
Applied Physics Letters 108 (10), 2016
652016
Ultrasound directed self-assembly of three-dimensional user-specified patterns of particles in a fluid medium
M Prisbrey, J Greenhall, F Guevara Vasquez, B Raeymaekers
Journal of Applied Physics 121 (1), 2017
582017
Continuous and unconstrained manipulation of micro-particles using phase-control of bulk acoustic waves
J Greenhall, F Guevara Vasquez, B Raeymaekers
Applied Physics Letters 103 (7), 2013
442013
Elastic properties of polyethylene from high pressure sound speed measurements
JL Jordan, RL Rowland, J Greenhall, EK Moss, RC Huber, EC Willis, ...
Polymer 212, 123164, 2021
272021
Ultrasound directed self-assembly processing of nanocomposite materials with ultra-high carbon nanotube weight fraction
J Greenhall, L Homel, B Raeymaekers
Journal of Composite Materials 53 (10), 1329-1336, 2019
262019
Dynamic behavior of microscale particles controlled by standing bulk acoustic waves
J Greenhall, F Guevara Vasquez, B Raeymaekers
Applied Physics Letters 105 (14), 2014
172014
Ultrasonic waves from radial mode excitation of a piezoelectric disc on the surface of an elastic solid
VK Chillara, J Greenhall, C Pantea
Smart Materials and Structures 29 (8), 085002, 2020
112020
Noninvasive acoustic measurements in cylindrical shell containers
J Greenhall, C Hakoda, ES Davis, VK Chillara, C Pantea
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021
92021
Nonlinear acoustic crack detection in thermoelectric wafers
J Greenhall, S Grutzik, A Graham, DN Sinha, C Pantea
Mechanical Systems and Signal Processing 139, 106598, 2020
72020
Data-driven acoustic measurement of moisture content in flowing biomass
J Greenhall, C Pantea, P Vakhlamov, ES Davis, T Semelsberger
Machine Learning with Applications 13, 100476, 2023
22023
Electromechanical response of laterally clamped piezoelectric wafers: Absence of in-plane mechanical resonances in the electromechanical impedance spectrum
VK Chillara, J Greenhall, C Hakoda, C Pantea
Applied Acoustics 188, 108545, 2022
22022
On the bandwidth and beam profile characteristics of a simple low-frequency collimated ultrasound beam source
J Greenhall, VK Chillara, DN Sinha, C Pantea
Journal of Vibration and Acoustics 143 (6), 064501, 2021
22021
Directed self-assembly of three-dimensional user-specified patterns of particles using ultrasound
M Prisbrey, J Greenhall, F Guevara Vasquez, B Raeymaekers
The Journal of the Acoustical Society of America 141 (5_Supplement), 3570-3570, 2017
22017
Acoustics-based noninvasive wafer defect detection
C Pantea, JJ Greenhall, AL Graham, DN Sinha
US Patent 11,879,868, 2024
12024
Genetic algorithm-wavelet transform feature extraction for data-driven acoustic resonance spectroscopy
J Greenhall, DN Sinha, C Pantea
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2023
12023
Noninvasive acoustic time-of-flight measurements in heated, hermetically-sealed high explosives using a convolutional neural network
J Greenhall, D Zerkle, ES Davis, R Broilo, C Pantea
Machine Learning with Applications 9, 100391, 2022
12022
Extracting useful machine learning features from acoustic resonance spectra of coupled multi-body structures
J Greenhall, ES Davis, P Kendall, A Graham, DN Sinha, C Pantea
The Journal of the Acoustical Society of America 151 (4), A232-A232, 2022
12022
Three-Dimensional Printing Engineered Materials via Integration of Ultrasound Directed Self-Assembly with Stereolithography
J Greenhall
The University of Utah, 2017
12017
Measuring thermal profiles in high explosives using neural networks
J Greenhall, DK Zerkle, ES Davis, R Broilo, C Pantea
APL Machine Learning 2 (1), 2024
2024
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