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Adam J Wachtor

Showing results (1-10 of 4) with videos related to

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Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 4, 2014
Estimating the effective Reynolds number in implicit large-eddy simulationYe Zhou, Fernando F Grinstein, Adam J Wachtor, et al.
The Journal of Microwave Power and Electromagnetic Energy : a Publication of the International Microwave Power Institute|May 1, 2014
Buoyancy driven mixing of miscible fluids by volumetric energy deposition of microwavesAdam J Wachtor, Veronika Mocko, Darrick J Williams, et al.
Ultrasonics|February 17, 2022
Predicting local material thickness from steady-state ultrasonic wavefield measurements using a convolutional neural networkJoshua D Eckels, Erica M Jacobson, Ian T Cummings, et al.
Scientific Reports|June 11, 2024
Deep learning with mixup augmentation for improved pore detection during additive manufacturingBulbul Ahmmed, Elisabeth G Rau, Maruti K Mudunuru, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|March 4, 2014
Estimating the effective Reynolds number in implicit large-eddy simulationYe Zhou, Fernando F Grinstein, Adam J Wachtor, et al.
The Journal of Microwave Power and Electromagnetic Energy : a Publication of the International Microwave Power Institute|May 1, 2014
Buoyancy driven mixing of miscible fluids by volumetric energy deposition of microwavesAdam J Wachtor, Veronika Mocko, Darrick J Williams, et al.
Ultrasonics|February 17, 2022
Predicting local material thickness from steady-state ultrasonic wavefield measurements using a convolutional neural networkJoshua D Eckels, Erica M Jacobson, Ian T Cummings, et al.
Scientific Reports|June 11, 2024
Deep learning with mixup augmentation for improved pore detection during additive manufacturingBulbul Ahmmed, Elisabeth G Rau, Maruti K Mudunuru, et al.
Pageof 1