45 citations · 89 across the 11 of their papers we have counts for
11 papers
Machine Learning-Based Ultrasonic Weld Characterization Using Hierarchical Wave Modeling and Diffusion-Driven Distribution Alignment
Joshua R. Tempelman, Adam J. Wachtor, Eric B. Flynn
Automated ultrasonic weld inspection remains a significant challenge in the nondestructive evaluation (NDE) community to factors such as limited training data (due to the complexit…
Spectral Characterization of Wave Scattering at a Granular-Elastic Solid Interface: From Hyperbolic Wave Propagation to Near-Parabolic Diffusion
Joshua R. Tempelman, Chongan Wang, Alexander F. Vakakis
We present a method based on acoustic wavenumber imaging algorithms to quantify the spectral content of strongly nonlinear energy scattering of a propagating wavefront across the d…
Probabilistic Emissivity Retrieval from Hyperspectral Data via Physics-Guided Variational Inference
Joshua R. Tempelman, Kevin Mitchell, Adam J. Wachtor +1
Recent research has proven neural networks to be a powerful tool for performing hyperspectral imaging (HSI) target identification. However, many deep learning frameworks deliver a…
Subwavelength topological interface modes in a multilayered vibroacoustic metamaterial
Majdi O. Gzal, Joshua R. Tempelman, Kathryn H. Matlack +1
We present a systematic and rigorous analytical approach, based on the transfer matrix methodology, to study the existence, evolution, and robustness of subwavelength topological i…
Physics-Informed Machine Learning for the Inverse Design of Wave Scattering Clusters
Joshua R. Tempelman, Tobias Weidemann, Eric B. Flynn +2
Clusters of wave-scattering oscillators offer the ability to passively control wave energy in elastic continua. However, designing such clusters to achieve a desired wave energy pa…
A Topological Framework for Identifying Phenomenological Bifurcations in Stochastic Dynamical Systems
Sunia Tanweer, Firas A. Khasawneh, Elizabeth Munch +1
Changes in the parameters of dynamical systems can cause the state of the system to shift between different qualitative regimes. These shifts, known as bifurcations, are critical t…
Wavenumber Scattering and Inter-band Targeted Energy Transfer in Phononic Lattices with Local Vibro-Impact Nonlinearities
Joshua R. Tempelman, Kathryn H. Matlack, Alexander F. Vakakis
We propose a method for manipulating wave propagation in phononic lattices by employing local vibro-impact (VI) nonlinearities to \textit{scatter} energy across the underling linea…
A Modal Decomposition Approach to Topological Wave Propagation
Joshua R Tempelman, Alexander F Vakakis, Kathryn H Matlack
The characteristics of topologically protected wave propagation is typically predicted via the band structure of the primitive unit cell, using Berry curvature to predict localized…
Topological Protection in a Strongly Nonlinear Interface Lattice
Joshua R. Tempelman, Kathryn H. Matlack, Alexander F. Vakakis
Mechanical topological insulators are well understood for linear and weakly nonlinear systems, however traditional analysis methods break down for strongly nonlinear systems since…
Effects of Correlated Noise on the Performance of Persistence Based Dynamic State Detection Methods
Joshua Tempelman, Audun Myers, Jeffrey Scruggs +1
The ability to characterize the state of dynamic systems has been a pertinent task in the time series analysis community. Traditional measures such as Lyapunov exponents are often…
A Look into Chaos Detection through Topological Data Analysis
Joshua R. Tempelman, Firas A. Khasawneh
Traditionally, computation of Lyapunov exponents has been the marque method for identifying chaos in a time series. Recently, new methods have emerged for systems with both known a…