Следене
Prabhav Borate
Prabhav Borate
PhD Candidate, The Pennsylvania State University
Потвърден имейл адрес: psu.edu
Заглавие
Позовавания
Позовавания
Година
Using a physics-informed neural network and fault zone acoustic monitoring to predict lab earthquakes
P Borate, J Rivière, C Marone, A Mali, D Kifer, P Shokouhi
Nature communications 14 (1), 3693, 2023
352023
Data-driven structural health monitoring approach using guided Lamb wave responses
P Borate, G Wang, Y Wang
Journal of Aerospace Engineering 33 (4), 04020033, 2020
282020
Physics informed neural network can retrieve rate and state friction parameters from acoustic monitoring of laboratory stick-slip experiments
P Borate, J Rivière, S Marty, C Marone, D Kifer, P Shokouhi
Scientific reports 14 (1), 24624, 2024
12024
Physics-guided machine learning for laboratory earthquake prediction
P Shokouhi, P Borate, J Riviere, A Mali, D Kifer
EGU General Assembly Conference Abstracts, EGU-15437, 2023
12023
An artificial intelligence based method for performance prediction and inverse design of hydraulic turbochargers
A Thatte, G Vurimi, P Borate, T Javaherchi
Turbo Expo: Power for Land, Sea, and Air 84195, V008T20A027, 2020
12020
A comparative study of hand-crafted, CNN-based, and physics-guided features extraction from time-lapsed active source ultrasonic data for prediction of laboratory earthquakes.
P Borate, J Riviere, D Kifer, P Shokouhi
AGU Fall Meeting Abstracts 2023 (401), S31F-0401, 2023
2023
Understanding elastic wave propagation across rough interfaces in stressed fractured rock through coupled in-situ synchrotron X‑ray imaging and ultrasound
E Bozek, P Borate, M Skiadopoulos, C Williams, CY Ke, C Wood, ...
AGU Fall Meeting Abstracts 2023, MR12A-04, 2023
2023
Understanding contact acoustic nonlinearity through coupled synchrotron x-ray imaging and dynamic acoustoelastic measurements under stress
CY Ke, P Borate, C Wood, M Rivers, J Riviere, P Shokouhi
The Journal of the Acoustical Society of America 153 (3_supplement), A202-A202, 2023
2023
Illuminating Fundamental Processes Governing Evolution of Fault Zone Permeability and Elastodynamic Properties due to Dynamic Stressing using a Coupled X-Ray Imaging and Active …
CY Ke, P Borate, C Marone, D Elsworth, J Riviere, P Shokouhi
AGU Fall Meeting Abstracts 2022, H51F-02, 2022
2022
A Physics-informed Machine Learning (PIML) Model for Lab Earthquake Prediction using Time-lapse Active Source Ultrasonic Data
P Borate, J Riviere, C Marone, A Mali, D Kifer, P Shokouhi
AGU Fall Meeting Abstracts 2022, S55A-08, 2022
2022
Shear Failure Prediction Using a Physics-guided Deep Learning Framework
P Borate, J Riviere, D Kifer, P Shokouhi
AGU Fall Meeting Abstracts 2021, S35D-0247, 2021
2021
Understanding the Seismic Response to Varying CO2 Saturation through Concurrent Ultrasonic Monitoring and X-ray CT Imaging in Laboratory-scale Flow Experiments
P Borate, P Purswani, M Poska, Z Karpyn, S Huang, P Shokouhi
AGU Fall Meeting Abstracts 2021, S25A-0217, 2021
2021
A Novel Structural Health Monitoring System Using Surface Acoustic Sensor Network and Guided Lamb Waves
P Borate, A Thatte
Turbo Expo: Power for Land, Sea, and Air 58677, V006T05A019, 2019
2019
Deep Learning Can Retrieve Rate And State Friction Parameters During Laboratory Seismic Cycles Via Continuous Active-Passive Ultrasonic Monitoring.
P Borate, J Riviere, SB Marty, C Marone, D Kifer, P Shokouhi
AGU24, 0
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