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We demonstrate the feasibility of integrating physics-based animations of solids and fluids with 3D Gaussian Splatting (3DGS) to create novel effects in virtual scenes reconstructed using 3DGS. Leveraging the coherence of the Gaussian…

Glass is increasingly desired as a material for manufacturing complex microscopic geometries, from the micro-optics in compact consumer products to microfluidic systems for chemical synthesis and biological analyses. As the size, geometric,…

Droplet microfluidics offers a versatile platform for analyzing liquid samples. Despite its potential, there is a lack of techniques that allow to reliably probe individual circulating droplets. The prospect of combining droplet…

Quantitative Methods · Quantitative Biology 2024-03-08 Marc Sulliger , Jaime Ortega Arroyo , Romain Quidant

Deconvolutional layers have been widely used in a variety of deep models for up-sampling, including encoder-decoder networks for semantic segmentation and deep generative models for unsupervised learning. One of the key limitations of…

Machine Learning · Computer Science 2017-11-28 Hongyang Gao , Hao Yuan , Zhengyang Wang , Shuiwang Ji

Spatial separation of suspended particles based on contrast in their physical or chemical properties forms the basis of various biological assays performed on lab-on-achip devices. To electronically acquire this information, we have…

Emerging Technologies · Computer Science 2018-08-13 Ningquan Wang , Ruxiu Liu , Roozbeh Khodambashi , Norh Asmare , A. Fatih Sarioglu

The demand for higher resolution displays drives the demand for smaller pixels. Displays show a trend of doubling the pixel number every 4 years and doubling the pixel per inch (PPI) every 6 years. As the prospective candidate for…

The ability of mixing colors with remarkable results had long been exclusive to the talents of master painters. By finely combining colors at different amounts on the palette intuitively, they obtain smooth gradients with any given color.…

The advent of simulation engines has revolutionized learning and operational efficiency for robots, offering cost-effective and swift pipelines. However, the lack of a universal simulation platform tailored for chemical scenarios impedes…

Robotics · Computer Science 2024-06-13 Shoujie Li , Yan Huang , Changqing Guo , Tong Wu , Jiawei Zhang , Linrui Zhang , Wenbo Ding

A new approach for fabricating open and closed porous structures based on laser processing is presented. Liquid polyimide (PI) was mixed with azodicarbonamide (ADC, ADA) which is a chemical blowing agent (CBA) and mixture was pre-cured in…

Instrumentation and Detectors · Physics 2016-09-21 Yong-Won Ma , Jae Yong Oh , Seokyoung Ahn , Bo Sung Shin

This paper is focused on the question of simulation and visualiza- tion of 3D gel and paste dynamic effects. In a first part, we introduce a 3D physically based particle (or mass-interaction) model, with a small number of masses and few…

Graphics · Computer Science 2010-05-31 Claire Guilbaud , Annie Luciani , Nicolas Castagné

PLUMED-GUI is an interactive environment to develop and test complex PLUMED scripts within the Visual Molecular Dynamics (VMD) environment. Computational biophysicists can take advantage of both PLUMED's rich syntax to define collective…

Computational Physics · Physics 2013-12-12 Toni Giorgino

We present PixelFlow, a family of image generation models that operate directly in the raw pixel space, in contrast to the predominant latent-space models. This approach simplifies the image generation process by eliminating the need for a…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Shoufa Chen , Chongjian Ge , Shilong Zhang , Peize Sun , Ping Luo

3D Gaussian Splatting (3D-GS) has recently emerged as a powerful technique for real-time, photorealistic rendering by optimizing anisotropic Gaussian primitives from view-dependent images. While 3D-GS has been extended to scientific…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-16 Mengjiao Han , Andres Sewell , Joseph Insley , Janet Knowles , Victor A. Mateevitsi , Michael E. Papka , Steve Petruzza , Silvio Rizzi

Piecewise Linear Interface Construction (PLIC) is frequently used to geometrically reconstruct fluid interfaces in Computational Fluid Dynamics (CFD) modeling of two-phase flows. PLIC reconstructs interfaces from a scalar field that…

Fluid Dynamics · Physics 2021-07-29 Mohammadmehdi Ataei , Erfan Pirmorad , Franco Costa , Sejin Han , Chul B Park , Markus Bussmann

Compressive displays are an emerging technology exploring the co-design of new optical device configurations and compressive computation. Previously, research has shown how to improve the dynamic range of displays and facilitate…

Emerging Technologies · Computer Science 2015-06-19 Felix Heide , James Gregson , Gordon Wetzstein , Ramesh Raskar , Wolfgang Heidrich

Colloidal particles can create reconfigurable nanomaterials, with applications such as color-changing, self-repairing, and self-regulating materials and reconfigurable drug delivery systems. However, top-down methods for manipulating…

Soft Condensed Matter · Physics 2024-07-26 Mark N. McDonald , Cameron K. Peterson , Douglas R. Tree

Dissipative particle dynamics (DPD) is a relatively new technique which has proved successful in the simulation of complex fluids. We caution that for the equilibrium achieved by the DPD simulation of a simple fluid the temperature depends…

Statistical Mechanics · Physics 2009-10-30 C. A. Marsh , J. M. Yeomans

Recently, diffusion models have achieved significant advances in vision, text, and robotics. However, they still face slow generation speeds due to sequential denoising processes. To address this, a parallel sampling method based on Picard…

Computer Vision and Pattern Recognition · Computer Science 2025-03-26 Junhyuk So , Jiwoong Shin , Chaeyeon Jang , Eunhyeok Park

Probabilistic Circuits (PCs) are a unified framework for tractable probabilistic models that support efficient computation of various probabilistic queries (e.g., marginal probabilities). One key challenge is to scale PCs to model large and…

Machine Learning · Computer Science 2024-12-12 Anji Liu , Honghua Zhang , Guy Van den Broeck

Particle-wall interactions play a crucially important role in various applications such as microfluidic devices for cell sorting, particle separation, entire class of hydrodynamic filtration and its derivatives, etc. Yet, accurate…

Fluid Dynamics · Physics 2025-03-18 Aryan Mehboudi , Shrawan Singhal , S. V. Sreenivasan
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