| Estimating density, velocity, and pressure fields in supersonic flows using physics-informed BOS JP Molnar, L Venkatakrishnan, BE Schmidt, TA Sipkens, SJ Grauer Experiments in Fluids 64 (1), 14, 2023 | 31 | 2023 |
| Flow field tomography with uncertainty quantification using a Bayesian physics-informed neural network JP Molnar, SJ Grauer Measurement Science and Technology 33 (6), 065305, 2022 | 30 | 2022 |
| Age of information for queues in tandem C Kam, JP Molnar, S Kompella MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 1-6, 2018 | 24 | 2018 |
| Physics-Informed Background-Oriented Schlieren of Turbulent Underexpanded Jets JP Molnar, SJ Grauer, O Léon, D Donjat, F Nicolas AIAA SCITECH 2023 Forum, 2441, 2023 | 7 | 2023 |
| Reconstructing Hypersonic Flow Over a Bluff Body from Experimental Background-Oriented Schlieren Data JP Molnar, EJ LaLonde, CS Combs, SJ Grauer AIAA SCITECH 2024 Forum, 2493, 2024 | 1 | 2024 |
| Forward and inverse modeling of depth-of-field effects in background-oriented schlieren JP Molnar, EJ LaLonde, CS Combs, O Léon, D Donjat, SJ Grauer arXiv preprint arXiv:2402.15954, 2024 | | 2024 |
| Time-resolved WMS tomography with velocimetry for high-enthalpy flows JP Molnar, S Grauer, J France, B Ochs, J Donbar Bulletin of the American Physical Society, 2023 | | 2023 |
| Aggregate Loss Data Assimilation (ALDA) for Supersonic BOS A Singh, JP Molnar, S Grauer, GS Sidharth Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Reconstructing Experimental Measurements of Supersonic Flow via Physics-Informed BOS JP Molnar, S Grauer Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Physics-Informed Flow Field Tomography with UQ using a B-PINN JP Molnar, S Grauer APS Division of Fluid Dynamics Meeting Abstracts, P20. 007, 2021 | | 2021 |
Samuel Jacobi GrauerPenn StateVerified email at psu.edu
