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Related papers: ARGOT: Accelerated radiative transfer on grids usi…

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Articulated object generation has seen increasing advancements, yet existing models often lack the ability to be conditioned on text prompts. To address the significant gap between textual descriptions and 3D articulated object…

Computer Vision and Pattern Recognition · Computer Science 2025-12-04 Hao Sun , Lei Fan , Donglin Di , Shaohui Liu

We present a second-order formulation of multi-reference algebraic diagrammatic construction theory [Sokolov, A. Yu. J. Chem. Phys. 2018, 149, 204113] for simulating photoelectron spectra of strongly correlated systems (MR-ADC(2)). The…

Chemical Physics · Physics 2020-07-28 Koushik Chatterjee , Alexander Yu. Sokolov

This paper introduces a method to preform optical tomography, using 3D radiative transfer as the forward model. We use an iterative approach predicated on the Spherical Harmonics Discrete Ordinates Method (SHDOM) to solve the optimization…

Atmospheric and Oceanic Physics · Physics 2015-01-27 Aviad Levis , Yoav Y. Schechner , Amit Aides , Anthony B. Davis

Inspired by the recently proposed successive subspace learning (SSL) principles, we develop a successive subspace graph transform (SSGT) to address point cloud attribute compression in this work. The octree geometry structure is utilized to…

Computer Vision and Pattern Recognition · Computer Science 2020-10-30 Yueru Chen , Yiting Shao , Jing Wang , Ge Li , C. -C. Jay Kuo

A new, very fast method for 3D radiative transfer on fully threaded grids with arbitrarily high angular resolution is presented. The method uses completely cell-based discretization, and is ideally suited for problems with diffuse…

Astrophysics · Physics 2009-11-11 A. O. Razoumov , C. Y. Cardall

The recent development of deep learning combined with compressed sensing enables fast reconstruction of undersampled MR images and has achieved state-of-the-art performance for Cartesian k-space trajectories. However, non-Cartesian…

Image and Video Processing · Electrical Eng. & Systems 2022-07-26 Chang Gao , Shu-Fu Shih , J. Paul Finn , Xiaodong Zhong

It is important for autonomous vehicles to have the ability to infer the goals of other vehicles (goal recognition), in order to safely interact with other vehicles and predict their future trajectories. This is a difficult problem,…

Robotics · Computer Science 2021-08-10 Cillian Brewitt , Balint Gyevnar , Samuel Garcin , Stefano V. Albrecht

The enumeration of chemical graphs is an important topic in cheminformatics and bioinformatics, particularly in the discovery of novel drugs. These graphs are typically either tree-like multigraphs or composed of tree-like multigraphs…

Discrete Mathematics · Computer Science 2025-02-11 Muhammad Ilyas , Seemab Hayat , Naveed Ahmed Azam

We present a method for accelerating discrete ordinates radiative transfer calculations for radiative transfer. Our method works with nonlinear positivity fixes, in contrast to most acceleration schemes. The method is based on the dynamic…

Computational Physics · Physics 2022-01-19 Ryan G. McClarren , Terry S. Haut

We present a new multigrid scheme for solving the Poisson equation with Dirichlet boundary conditions on a Cartesian grid with irregular domain boundaries. This scheme was developed in the context of the Adaptive Mesh Refinement (AMR)…

Computational Physics · Physics 2011-05-16 Thomas Guillet , Romain Teyssier

We present a novel approach to perform agglomeration of polygonal and polyhedral grids based on spatial indices. Agglomeration strategies are a key ingredient in polytopal methods for PDEs as they are used to generate (hierarchies of)…

Numerical Analysis · Mathematics 2025-02-21 Marco Feder , Andrea Cangiani , Luca Heltai

Can we train a 3D molecule generator using data from dense regions to generate samples in sparse regions? This challenge can be framed as an out-of-distribution (OOD) generation problem. While prior research on OOD generation predominantly…

Machine Learning · Computer Science 2026-03-03 Haokai Hong , Wanyu Lin , Ming Yang , Kay Chen Tan

Accurate 3D dose calculation for Pencil Beam Scanning Proton Therapy (PBSPT) is typically performed with Monte Carlo (MC) engines, but their runtimes limit adaptive workflows and repeated evaluations. Current deep-learning proton dose…

Medical Physics · Physics 2026-02-19 Mikołaj Stryja , Danny Lathouwers , Zoltán Perkó

In the Super-Transition-Array statistical method for the computation of radiative opacity of hot dense matter, the moments of the absorption or emission features involve partition functions with reduced degeneracies, occurring through the…

Atomic Physics · Physics 2024-05-14 Jean-Christophe Pain , Brian Wilson

The metric Ramsey problem asks for the largest subset $S$ of a metric space that can be embedded into an ultrametric (more generally into a Hilbert space) with a given distortion. Study of this problem was motivated as a non-linear version…

Data Structures and Algorithms · Computer Science 2017-07-28 Ittai Abraham , Shiri Chechik , Michael Elkin , Arnold Filtser , Ofer Neiman

The atmospheres of planets (including Earth) and the outer layers of stars have often been treated in radiative transfer as plane-parallel media, instead of spherical shells, which can lead to inaccuracy, e.g. limb darkening. We give an…

Statistical Mechanics · Physics 2009-11-11 Michael J. Caola

We present an MPI-parallel algorithm for the in-situ visualization of computational data that is built around a distributed linear forest-of-octrees data structure. Such octrees are frequently used in element-based numerical simulations;…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-06 Carsten Burstedde

We discuss an implementation of our 3D radiative transfer (3DRT) framework with the OpenCL paradigm for general GPU computing. We implement the kernel for solving the 3DRT problem in Cartesian coordinates with periodic boundary conditions…

Instrumentation and Methods for Astrophysics · Physics 2011-08-01 Peter H. Hauschildt , E. Baron

The tree method is a widely implemented algorithm for collisionless $N$-body simulations in astrophysics well suited for GPU(s). Adopting hierarchical time stepping can accelerate $N$-body simulations; however, it is infrequently…

Instrumentation and Methods for Astrophysics · Physics 2016-11-09 Yohei Miki , Masayuki Umemura

Crystal structure determination from powder diffraction patterns is a complex challenge in materials science, often requiring extensive expertise and computational resources. This study introduces DiffractGPT, a generative pre-trained…

Materials Science · Physics 2025-08-13 Kamal Choudhary