A STacked Adaptive Residual PINN (STAR-PINN) Approach to 2D Time-Domain Magnetic Diffusion in Nonlinear Materials by Shayan Dodge, Sami Barmada, Alessandro Formisano

“…This work explores the use of Physics-Informed Neural Networks (PINNs) and a newly proposed approach, called the STacked Adaptive Residual PINN (STAR-PINN), to solve magnetic diffusion problems in the magneto quasi static regime. …”
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A comparative study of classical and innovative lobbed air diffusers using temperature sensors for thermal environment/comfort in vehicle cabins by Danca Paul, Cernei Alexandru

“…Further research on long-term performance and energy efficiency is recommended to fully explore the benefits of innovative air diffusers.…”
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Innovative multi-class segmentation for brain tumor MRI using noise diffusion probability models and enhancing tumor boundary recognition by Zengxin Liu, Caiwen Ma, Wenji She, Meilin Xie

“…Introducing the Diffusion Model, previously successful in various applications, the research applies it to medical image analysis. …”
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Mechanistic Studies of H₂ Adsorption and Diffusion in Low-Rank Coals: A Discussion on Geologic Hydrogen Storage by Xiaoxu Gao, Sixin Fu, Jinzhang Jia, Hailong Song, Hao Tian

“…An in-depth investigation of the adsorption and diffusion mechanism of hydrogen in low-rank coals is of great significance for optimizing the technical path of geological hydrogen storage and improving the efficiency of hydrogen storage. …”
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Design of 2D-Scanning Bifocal Metalens Antenna Using ControlNet-Enabled Stable Diffusion Deep Generative Model by Cedric W. L. Lee, Peng Khiang Tan, Theng Huat Gan

“…First, we employed the ControlNet-enabled stable diffusion technique to generate a set of low-loss, wide-phase-range pixelated unit cells. …”
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Machine Learning Prediction of CO₂ Diffusion in Brine: Model Development and Salinity Influence Under Reservoir Conditions by Qaiser Khan, Peyman Pourafshary, Fahimeh Hadavimoghaddam, Reza Khoramian

“…The diffusion coefficient (DC) of CO₂ in brine is a key parameter in geological carbon sequestration and CO₂-Enhanced Oil Recovery (EOR), as it governs mass transfer efficiency and storage capacity. …”
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Optimization using response surface methodology for Eyring-powell fluid flow with Cattaneo-Christov heat flux and cross diffusion effects by Pradeep Kumar, Vidhya K G, Felicita Almeida, Qasem Al-Mdallal

“…The optimization of heat transfer in engineering applications has significant implications for product performance and efficiency. This study investigates the flow and heat transfer characteristics of Eyring-Powell fluid over a curved sheet, incorporating complex phenomena such as magnetic dipoles, Cattaneo-Christov heat flux, and cross-diffusion effects. …”
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Tb diffusion induced microstructural evolution and magnetic responses of multi-main-phase Nd-Dy-Fe-Ga-B magnet by Shaoqing Ren, Xu Li, Zhiheng Zhang, Wang Chen, Jiaying Jin, Bo Xin, Mingjing Zhao, Mi Yan

“…Grain-boundary diffusion process (GBDP) emerges as a crucial technology of high-coercivity Nd-Fe-B permanent magnets for the efficient utilization of heavy rare-earths (HREs) Tb and Dy. …”
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Gamma Radiation-Induced Synthesis of Carboxymethyl Cellulose-Acrylic Acid Hydrogels for Methylene Blue Dye Removal by Sabuj Chandra Sutradhar, Nipa Banik, Mobinul Islam, Mohammad Mizanur Rahman Khan, Jae-Ho Jeong

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A Semi-Supervised Diffusion-Based Framework for Weed Detection in Precision Agricultural Scenarios Using a Generative Attention Mechanism by Ruiheng Li, Xuaner Wang, Yuzhuo Cui, Yifei Xu, Yuhao Zhou, Xuechun Tang, Chenlu Jiang, Yihong Song, Hegan Dong, Shuo Yan

“…To address these issues, a weed detection model based on a semi-supervised diffusion generative network is proposed. This model integrates a generative attention mechanism and semi-diffusion loss to enable the efficient utilization of both labeled and unlabeled data. …”
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Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction by Andres Ramirez-Jaime, Gonzalo R. Arce, Nestor Porras-Diaz, Oleg Ieremeiev, Andrii Rubel, Vladimir Lukin, Mateusz Kopytek, Piotr Lech, Jarosław Fastowicz, Krzysztof Okarma

“…Diffusion models then reconstruct detailed HHDCs from sparse samples on Earth. …”
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Discriminating the adulteration of varieties and misrepresentation of vintages of Pu’er tea based on Fourier transform near infrared diffuse reflectance spectroscopy by Zhenfa Yang, Zhenfa Yang, Xiaoping Lu, Lucheng Chen

“…Fourier transform near infrared diffuse reflectance spectroscopy combined with radial basis function neural network (RBFNN) was applied for determination of the varieties and vintages of Pu’er tea. …”
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Effective Thermal Diffusivity Measurement Using Through-Transmission Pulsed Thermography: Extending the Current Practice by Incorporating Multi-Parameter Optimisation by Zain Ali, Sri Addepalli, Yifan Zhao

“…The results show that the NLSF is less susceptible to noise and offers more repeatable values for thermal diffusivity measurements compared to Parker, thereby establishing it as a more efficient and reliable technique.…”
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Cross-Temporal Remote Sensing Image Change Captioning: A Manifold Mapping and Bayesian Diffusion Approach for Land Use Monitoring by Qingshan Bai, Xiaohua Wang

“…Subsequently, Bayesian diffusion is introduced to improve the modeling capability of cross-temporal image changes, enhancing robustness against noise and pseudo-changes. …”
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Back‐Projection Imaging of Extended, Diffuse Sources of Volcano‐Tectonic Seismicity During June 2010 at Sierra Negra Volcano, Galápagos by C. L. Kelly, J. F. Lawrence

“…We present a new computationally efficient method to comprehensively study temporal and spatial variations in extended, diffuse, low‐magnitude volcano‐tectonic seismicity by applying a back‐projection search algorithm to analyze coherent seismic energy arriving from potential subsurface source locations to available pairs of broadband seismometers. …”
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A Physics-Coupled Deep Learning Framework for Hydrodynamic Diffusion Modeling in Watershed Systems: Integrating Spatiotemporal Networks and Environmental Constraints by L. Jia, N. Yen, Y. Pei

“…Accurate comprehension and computational modeling of fluid transport, environmental processes, and substance diffusion depend heavily on solving governing equations. …”
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SynAdult: Multimodal Synthetic Adult Dataset Generation via Diffusion Models and Neuromorphic Event Simulation for Critical Biometric Applications by Muhammad Ali Farooq, Paul Kielty, Wang Yao, Peter Corcoran

“…Our pipeline begins with the rendering of high-fidelity 2D adult facial images using parameter-efficient LoRA-based tuning of the state-of-the-art hyperrealism Stable Diffusion XL (SDXL) model, producing photorealistic outputs across diverse ethnicities and age-specific features. …”
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Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach by Mohammad Mazyad Hazzazi, Mujeeb Ur Rehman, Arslan Shafique, Amer Aljaedi, Zaid Bassfar, Aminu Bello Usman

“…This creates further diffusion (level 3 diffusion) to make it difficult for an attacker to recover the plaintext image from an encrypted image. …”
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Discovery of Diffuse Radio Emission in a Massive z = 1.709 Cool Core Cluster: A Candidate Radio Minihalo by Julie HLavacek-Larrondo, Roland Timmerman, Christoph Pfrommer, Erik Osinga, Larissa Tevlin, Tracy M. A. Webb, Natalia Martorella, Xiaoyuan Zhang, Reinout van Weeren, Hyunseop Choi, Gabriella Di Gennaro, Marie-Lou Gendron-Marsolais, Carter Rhea

“…Clusters of galaxies host spectacular diffuse radio sources, extending over scales from 100 kpc to several Mpcs. …”
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Energy-efficient and fast method on storage and querying in wireless sensor networks by PENG Shao-liang, LI Shan-shan, PENG Yu-xing, LIAO Xiang-ke, XIAO Nong

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