most citedA review of cultural heritage inspection: Toward terahertz from mid-infrared region

1 citations · 2 across the 16 of their papers we have counts for

collaborators

21 papers

physics.app-ph2026

Orbital-coherence memory in electrical transport and its self-consistent Maxwell response

Pengfei Zhu

An internal electronic coherence changes electrical transport only when it feeds back on the physical current. We develop a reduced description of this feedback and distinguish its…

cs.LG2026

Can Deep Learning Achieve Cross-Physics Mapping?

Pengfei Zhu, Julien Lecompagnon, Mathias Ziegler

Can deep learning translate physical fields governed by fundamentally different equations? We address this question by introducing Cross-Physics Mapping (CPM), an operator-learning…

physics.app-ph2026

Quantitative Infrared Thermographic Assessment of Hand Cooling Dynamics During Controlled Contact with Metal Plates

Pengfei Zhu, Hai Zhang, Stefano Sfarra +4

This study investigates the spatiotemporal thermal response of human hands during controlled contact cooling using short wave infrared (SWIR), mid wave infrared (MWIR), and long wa…

physics.app-ph2026

Structured Illumination Scanning Thermography (SISTER)

Pengfei Zhu, Julien Lecompagnon, Philipp Daniel Hirsch +1

Conventional non-invasive photothermal imaging techniques are fundamentally constrained by the diffusive nature of heat transport, which causes severe energy dissipation during sub…

physics.app-ph2026

Generalized Virtual-Wave Theory for Photothermal Coherence Tomography under Arbitrary Excitation Toward Non-Contact Industrial Inspection of Composite Materials

Pengfei Zhu, Julien Lecompagnon, Philipp Daniel Hirsch +1

Photothermal imaging is a powerful noncontact and nondestructive technique for subsurface inspection of composite materials, yet its performance is fundamentally limited by the dif…

math-ph2026

A Unified Framework for Virtual Wave Transform: From Generalized Formulation to Excitation-Specific Projection

Pengfei Zhu, Julien Lecompagnon, Philipp Daniel Hirsch +1

We present a unified theoretical framework for the mapping between diffusive and wave-like dynamics, formulated as a spectral integral operator acting on temporal fields. By introd…

physics.app-ph2026

Analytic Continuation Between Real- and Imaginary-Time Quantum Dynamics and the Fundamental Instability of Inverse Reconstruction

Pengfei Zhu

We develop a unified spectral-semigroup framework that connects real-time and imaginary-time quantum dynamics through analytic continuation. Within this formulation, evolution is e…

physics.optics2026

Non-Hermitian Exceptional Dynamics in First-Order Heat Transport

Pengfei Zhu

Heat transport exhibits distinct regimes ranging from ballistic propagation to diffusive relaxation, traditionally described by disparate theoretical frameworks. Here, we introduce…

physics.optics2026

The Spectral Domain Snell Law in Diffusion-Wave Fields

Pengfei Zhu, Julien Lecompagnon, Philipp Daniel Hirsch +2

Snell law is traditionally regarded as a hallmark of phase-propagating phenomena such as optical, acoustic, elastic, electromagnetic, and quantum waves. In contrast, purely diffusi…

physics.app-ph2026

Generalized virtual wave reconstruction for vibrothermography: Overcoming the wavefront-free behavior and quantification challenges in the diffusion-wave field

Pengfei Zhu, Julien Lecompagnon, Mathias Ziegler +2

Wavefront-free behavior and the resulting quantification difficulties are intrinsic limitations of vibrothermography due to the diffusive nature of thermal fields. This work propos…

cs.CV2026

Principal Component Analysis-Based Terahertz Self-Supervised Denoising and Deblurring Deep Neural Networks

Pengfei Zhu, Stefano Sfarra, Hai Zhang +4

Terahertz (THz) systems inherently introduce frequency-dependent degradation effects, resulting in low-frequency blurring and high-frequency noise in amplitude images. Conventional…

physics.app-ph2026

Field-material coupled neural network: A novel prior-free and data-free inverse problem solver for extracting complex dielectric constant in terahertz band

Pengfei Zhu, Stefano Sfarra, Elena Pivarciova +2

Accurate extraction of the complex dielectric constant in the terahertz (THz) band is essential for material characterization and non-destructive evaluation yet remains challenging…

eess.IV2026

Non-Invasive Diagnosis for Clubroot Using Terahertz Time-Domain Spectroscopy and Physics-Constrained Neural Networks

Pengfei Zhu, Jiaxu Wu, Alyson Deslongchamps +2

Clubroot, a major soilborne disease affecting canola and other cruciferous crops, is characterized by the development of large galls on the roots of susceptible hosts. In this stud…

physics.optics2025★ 1 cited

A review of cultural heritage inspection: Toward terahertz from mid-infrared region

Pengfei Zhu, Hai Zhang, Stefano Sfarra +2

This review explores non-invasive imaging (NII) methods covering the mid- and far-infrared to the terahertz spectral regions (up to approximately 1000 um) for the detection and ana…

physics.optics2025

Modeling Terahertz Propagation via Frequency-Domain Physics-Informed Neural Networks

Pengfei Zhu, Hai Zhang, Stefano Sfarra +3

Terahertz time-domain spectroscopy (THz-TDS) provides a non-invasive and label-free method for probing the internal structure and electromagnetic response of materials. Numerical s…

physics.optics2025

THz-PINNs: Time-Domain Forward Modeling of Terahertz Spectroscopy with Physics-Informed Neural Networks

Pengfei Zhu, Xavier Maldague

Terahertz time-domain spectroscopy (THz-TDS) is a powerful tool for extracting optical and electrical parameters, as well as probing internal structures and surface morphology of m…

physics.app-ph2025

Thermal diffusivity measurement based on evaporative cryocooling excitation: Theory and experiments

Pengfei Zhu, Hai Zhang, Stefano Sfarra +4

Photo-thermal methods for measuring thermal diffusivity inherently pose an ill-posed inverse problem, affected by factors such as sample thickness, heating or cooling time, and exc…

physics.app-ph2025★ 1 cited

Real-Time Super-Resolution Imaging System Based on Zero-Shot Learning for Infrared Non-Destructive Testing

Pengfei Zhu, Ziang Wei, Ahmad Osman +4

Infrared thermography (IRT) and photothermal coherence tomography (PCT) exhibit potential in non-destructive testing and biomedical fields. However, the inevitable heat diffusion s…

physics.app-ph2025

Thermal diffusivity characterization of impacted composites using evaporative cryocooling excitation and inverse physics-informed neural networks

Pengfei Zhu, Hai Zhang, Stefano Sfarra +5

The thermal diffusivity measurement of impacted composites using pulsed methods presents an ill-posed inverse problem influenced by multiple factors such as sample thickness, cooli…

physics.app-ph2025

A novel IR-SRGAN assisted super-resolution evaluation of photothermal coherence tomography for impact damage in toughened thermoplastic CFRP laminates under room temperature and low temperature

Pengfei Zhu, Hai Zhang, Stefano Sfarra +4

Evaluating impact-induced damage in composite materials under varying temperature conditions is essential for ensuring structural integrity and reliable performance in aerospace, p…

physics.app-ph2025

Making neural networks understand internal heat transfer using Fourier-transformed thermal diffusion wave fields

Pengfei Zhu, Hai Zhang, Clemente Ibarra-Castanedo +2

Heat propagation is governed by phonon interactions and mathematically described by partial differential equations (PDEs), which link thermal transport to the intrinsic properties…