On the relevance of lift force modelling in turbulent wall flows with small inertial particles

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Pengyu Shi, Matteo Parsani, Pedro Costa, | Summary: In particle-laden turbulent wall flows, lift forces can influence the near-wall turbulence. This has been recently observed in particle-resolved simulations, which, however, are too expensive to be used in upscaled models. Instead, point-particle simulations have been the […]


Continue.. On the relevance of lift force modelling in turbulent wall flows with small inertial particles

On the relevance of lift force modelling in turbulent wall flows with small inertial particles

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Pengyu Shi, Matteo Parsani, Pedro Costa, | Summary: In particle-laden turbulent wall flows, lift forces can influence the near-wall turbulence. This has been recently observed in particle-resolved simulations, which, however, are too expensive to be used in upscaled models. Instead, point-particle simulations have been the […]


Continue.. On the relevance of lift force modelling in turbulent wall flows with small inertial particles

On the relevance of lift force modelling in turbulent wall flows with small inertial particles

Kavli Affiliate: Wei Gao | First 5 Authors: Wei Gao, Pengyu Shi, Matteo Parsani, Pedro Costa, | Summary: In particle-laden turbulent wall flows, lift forces can influence the near-wall turbulence. This has been recently observed in particle-resolved simulations, which, however, are too expensive to be used in upscaled models. Instead, point-particle simulations have been the […]


Continue.. On the relevance of lift force modelling in turbulent wall flows with small inertial particles

Improved Constraints on Mergers with SZ, Hydrodynamical simulations, Optical, and X-ray (ICM-SHOX). Paper II: Galaxy cluster sample overview

Kavli Affiliate: Sunil Golwala | First 5 Authors: Emily M. Silich, Elena Bellomi, Jack Sayers, John ZuHone, Urmila Chadayammuri | Summary: Galaxy cluster mergers are representative of a wide range of physics, making them an excellent probe of the properties of dark matter and the ionized plasma of the intracluster medium. To date, most studies […]


Continue.. Improved Constraints on Mergers with SZ, Hydrodynamical simulations, Optical, and X-ray (ICM-SHOX). Paper II: Galaxy cluster sample overview

Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction

Kavli Affiliate: Lihong V. Wang | First 5 Authors: Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle | Summary: Photoacoustic tomography (PAT) is a rapidly-evolving medical imaging modality that combines optical absorption contrast with ultrasound imaging depth. One challenge in PAT is image reconstruction with inadequate acoustic signals due to limited sensor […]


Continue.. Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction

Bringing Textual Prompt to AI-Generated Image Quality Assessment

Kavli Affiliate: Wei Gao | First 5 Authors: Bowen Qu, Haohui Li, Wei Gao, , | Summary: AI-Generated Images (AGIs) have inherent multimodal nature. Unlike traditional image quality assessment (IQA) on natural scenarios, AGIs quality assessment (AGIQA) takes the correspondence of image and its textual prompt into consideration. This is coupled in the ground truth […]


Continue.. Bringing Textual Prompt to AI-Generated Image Quality Assessment

Bringing Textual Prompt to AI-Generated Image Quality Assessment

Kavli Affiliate: Wei Gao | First 5 Authors: Bowen Qu, Haohui Li, Wei Gao, , | Summary: AI-Generated Images (AGIs) have inherent multimodal nature. Unlike traditional image quality assessment (IQA) on natural scenarios, AGIs quality assessment (AGIQA) takes the correspondence of image and its textual prompt into consideration. This is coupled in the ground truth […]


Continue.. Bringing Textual Prompt to AI-Generated Image Quality Assessment

Adaptive Loss Weighting for Machine Learning Interatomic Potentials

Kavli Affiliate: Wei Gao | First 5 Authors: Daniel Ocampoa, Daniela Possob, Reza Namakiana, Wei Gao, | Summary: Training machine learning interatomic potentials often requires optimizing a loss function composed of three variables: potential energies, forces, and stress. The contribution of each variable to the total loss is typically weighted using fixed coefficients. Identifying these […]


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Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS

Kavli Affiliate: Wei Gao | First 5 Authors: Ke Yang, Rongen Dong, Wei Gao, Feng Shu, Weiping Shi | Summary: Active intelligent reflecting surface (IRS) is a revolutionary technique for the future 6G networks. The conventional far-field single-IRS-aided directional modulation(DM) networks have only one (no direct path) or two (existing direct path) degrees of freedom […]


Continue.. Multi-stream Transmission for Directional Modulation Network via Distributed Multi-UAV-aided Multi-active-IRS

Photon statistics analysis of h-BN quantum emitters with pulsed and continuous-wave excitation

Kavli Affiliate: Harry A. Atwater | First 5 Authors: Hamidreza Akbari, Pankaj K. Jha, Kristina Malinowski, Benjamin E. C. Koltenbah, Harry A. Atwater | Summary: We report on the quantum photon statistics of hexagonal boron nitride (h-BN) quantum emitters by analyzing the Mandel Q parameter. We have measured the Mandel Q parameter for h-BN quantum […]


Continue.. Photon statistics analysis of h-BN quantum emitters with pulsed and continuous-wave excitation