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Related papers: Rheoscopic Fluids in a Post-Kalliroscope World

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Complex fluids transition from laminar to transitory flow above a critical control parameter, akin to their Newtonian counterparts. In a continuum mechanics sense, fluid elements follow the ensuing complex trajectories, giving rise to…

Renaissance Fusion proposes thick liquid metal walls as plasma-facing components for future commercial fusion reactors. It designs and operates proof-of-concept experiments aiming at actively suspending and stabilizing a flowing…

Fluid Dynamics · Physics 2024-12-19 Valentina Giovacchini , Eric Favre , Francesco A. Volpe

Slow flow of a single fluid through a porous medium is well understood on a macroscopic level through Darcy's law, a linear relation between flow rate and a combination of pressure differences, viscosity, and gravitational forces. Two-phase…

Soft Condensed Matter · Physics 2022-04-12 Joachim Falck Brodin , Marcel Moura , Renaud Toussaint , Knut Jorgen Maloy , Per Arne Rikvold

Bulk applications of graphene in fields such as advanced composites, conductive ink, and energy storage require cheap and scalable graphene. Fortunately, in the last decade, liquid-phase exfoliation of graphite to give pristine graphene has…

Materials Science · Physics 2016-08-22 Min Yi , Zhigang Shen

We propose HoliGS, a novel deformable Gaussian splatting framework that addresses embodied view synthesis from long monocular RGB videos. Unlike prior 4D Gaussian splatting and dynamic NeRF pipelines, which struggle with training overhead…

Computer Vision and Pattern Recognition · Computer Science 2025-06-25 Xiaoyuan Wang , Yizhou Zhao , Botao Ye , Xiaojun Shan , Weijie Lyu , Lu Qi , Kelvin C. K. Chan , Yinxiao Li , Ming-Hsuan Yang

Efficient three-dimensional reconstruction and real-time visualization are critical in surgical scenarios such as endoscopy. In recent years, 3D Gaussian Splatting (3DGS) has demonstrated remarkable performance in efficient 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Taoyu Wu , Yiyi Miao , Zhuoxiao Li , Haocheng Zhao , Kang Dang , Jionglong Su , Limin Yu , Haoang Li

We introduce OceanSplat, a novel 3D Gaussian Splatting-based approach for high-fidelity underwater scene reconstruction. To overcome multi-view inconsistencies caused by scattering media, we design a trinocular setup for each camera pose by…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Minseong Kweon , Jinsun Park

Optical flow is a fundamental technique for motion estimation, widely applied in video stabilization, interpolation, and object tracking. Traditional optical flow estimation methods rely on restrictive assumptions like brightness constancy…

Computer Vision and Pattern Recognition · Computer Science 2025-03-11 Yu-Hsi Chen , Chin-Tien Wu

Flow models are effective at progressively generating realistic images, but they generally struggle to capture long-range dependencies during the generation process as they compress all the information from previous time steps into a single…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Mude Hui , Rui-Jie Zhu , Songlin Yang , Yu Zhang , Zirui Wang , Yuyin Zhou , Jason Eshraghian , Cihang Xie

Most methods for optical visualization beyond the diffraction limit rely on fluorescence emission by molecular tags. Here, we report a method for visualization of nanostructures down to a few nanometers using a conventional bright-field…

The present study proposes a novel full-field extensional rheo-optical technique to investigate the relationship between the rheological properties and internal structural deformation of complex fluids under uniaxial extensional flow.…

Fluid Dynamics · Physics 2025-07-22 Masakazu Muto , Naoki Kako , Tatsuya Yoshino , Shinji Tamano

3D Gaussian Splatting (3DGS) enables real-time novel view synthesis with high visual quality. However, existing methods struggle with semi-transparent specular surfaces that exhibit both complex reflections and clear transmission, often…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Ji Shi , Xianghua Ying , Bowei Xing , Ruohao Guo , Wenzhen Yue

Scattering amplitudes are often split up into their color (su(N)) and kinematic components. Since the su(N) gauge part can be described using flows of color, one may anticipate that the double su(2) kinematic part can be described in terms…

High Energy Physics - Phenomenology · Physics 2022-04-27 Joakim Alnefjord , Andrew Lifson , Christian Reuschle , Malin Sjodahl

Recent experimental results on directed and elliptic flow, theoretical developments, and new techniques for anisotropic flow analysis are reviewed.

Nuclear Experiment · Physics 2009-11-07 S. A. Voloshin

Microfluidic devices are increasingly used in synchrotron-based experiments to deliver and probe liquid samples, offering advantages such as minimal sample consumption and reduced radiation damage. Despite their growing use, few devices…

Extracting optical flow from videos remains a core computer vision problem. Motivated by the recent success of large general-purpose models, we ask whether frozen self-supervised video models trained only to predict future frames can be…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Seungwoo Kim , Khai Loong Aw , Klemen Kotar , Cristobal Eyzaguirre , Wanhee Lee , Yunong Liu , Jared Watrous , Stefan Stojanov , Juan Carlos Niebles , Jiajun Wu , Daniel L. K. Yamins

Shock electrodialysis is a recently developed electrochemical water treatment method which shows promise for water deionization and ionic separations. Although simple models and scaling laws have been proposed, a predictive theory has not…

Fluid Dynamics · Physics 2021-04-21 Sven Schlumpberger , Raymond B. Smith , Huanhuan Tian , Ali Mani , Martin Z. Bazant

We compute the elliptic flow generated by classical gluon fields in a high energy nuclear collision. The classical gluon fields are described by a typical momentum scale, the saturation scale Lambda_s, which is, for RHIC energies, of the…

High Energy Physics - Phenomenology · Physics 2010-11-30 Alex Krasnitz , Yasushi Nara , Raju Venugopalan

Although cardiovascular diseases are the leading cause of death globally, non-invasive and inexpensive diagnostic tools for the identification of associated unstable atherosclerotic plaques are not yet available. Scanning acoustic…

Scene flow prediction is a crucial underlying task in understanding dynamic scenes as it offers fundamental motion information. However, contemporary scene flow methods encounter three major challenges. Firstly, flow estimation solely based…

Computer Vision and Pattern Recognition · Computer Science 2024-11-15 Zhiyang Lu , Qinghan Chen , Ming Cheng
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