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Probabilistic denoising diffusion models (DDMs) have set a new standard for 2D image generation. Extending DDMs for 3D content creation is an active field of research. Here, we propose TetraDiffusion, a diffusion model that operates on a…

Computer Vision and Pattern Recognition · Computer Science 2024-08-12 Nikolai Kalischek , Torben Peters , Jan D. Wegner , Konrad Schindler

Point clouds have become an increasingly important representation for 3D medical imaging, offering a compact, surface-preserving alternative to traditional voxel or mesh-based approaches. Recent advances in deep learning have enabled rapid…

Image and Video Processing · Electrical Eng. & Systems 2026-02-04 Tongxu Zhang , Zhiming Liang , Bei Wang

We used CO (2-1) and CO (1-0) data cubes to identify molecular clouds and study their kinematics and dynamics in three nearby galaxies and the inner Milky Way. When observed at similar spatial and velocity resolutions, molecular clouds in…

Astrophysics of Galaxies · Physics 2025-11-03 J. W. Zhou , Sami Dib

Molecular pretrained representations (MPR) has emerged as a powerful approach for addressing the challenge of limited supervised data in applications such as drug discovery and material design. While early MPR methods relied on 1D sequences…

Biomolecules · Quantitative Biology 2025-03-19 Shuqi Lu , Xiaohong Ji , Bohang Zhang , Lin Yao , Siyuan Liu , Zhifeng Gao , Linfeng Zhang , Guolin Ke

In this series of papers we study the structure of the atomic to molecular transition in the giant atomic-molecular complexes that are the repositories of most molecular gas in galaxies, with the ultimate goal of attaining a better…

Astrophysics · Physics 2009-11-13 Mark R. Krumholz , Christopher F. McKee , Jason Tumlinson

The paper describes an open source computer vision-based hardware structure and software algorithm, which analyzes layer-wise the 3-D printing processes, tracks printing errors, and generates appropriate printer actions to improve…

Computer Vision and Pattern Recognition · Computer Science 2021-06-22 Aliaksei L. Petsiuk , Joshua M. Pearce

The application of language models (LMs) to molecular structure generation using line notations such as SMILES and SELFIES has been well-established in the field of cheminformatics. However, extending these models to generate 3D molecular…

Machine Learning · Computer Science 2024-12-03 Kaiyuan Gao , Yusong Wang , Haoxiang Guan , Zun Wang , Qizhi Pei , John E. Hopcroft , Kun He , Lijun Wu

We discuss the use of 3D printing to physically visualize (materialize) fluid flow structures. Such 3D models can serve as a refreshing hands-on means to gain deeper physical insights into the formation of complex coherent structures in…

Fluid Dynamics · Physics 2017-07-07 Kunihiko Taira , Yiyang Sun , Daniel Canuto

Traditional studies of stellar clusters in external galaxies use surface photometry and therefore focus on systems that are still bright and compact enough to be separated from the stellar background. Consequently, the latter stages of…

Astrophysics · Physics 2007-05-23 Anne Pellerin , Martin Meyer , Jason Harris , Daniela Calzetti

Recent 3D dust maps of the local Milky Way are revolutionizing our understanding of the Sun's Galactic neighborhood, providing much needed insight into the large-scale organization of the interstellar medium. Focusing on the largest scales…

Constraining the physical and chemical evolution of molecular clouds is essential to our understanding of star formation. These investigations often necessitate knowledge of some local representative number density of the gas along the line…

Astrophysics of Galaxies · Physics 2025-04-02 Brandt A. L. Gaches , Michael Y. Grudić

We present a new method for assessing the intrinsic 3D shape of prestellar cores from molecular column densities. We have employed hydrodynamic simulations of contracting, isothermal cores considering three intrinsic geometries: spherical,…

Astrophysics of Galaxies · Physics 2016-02-17 A. Tritsis , K. Tassis , K. Willacy

In this study, a method to construct a full-colour volumetric display is presented using a commercially available inkjet printer. Photoreactive luminescence materials are minutely and automatically printed as the volume elements, and…

Stars form in cold clouds of predominantly molecular (H2) gas. We are just beginning to understand how the formation, properties, and destruction of these clouds varies across the universe. In this chapter, we describe how the thermal line…

Astrophysics of Galaxies · Physics 2018-10-17 Adam K. Leroy , Alberto Bolatto , Erik Rosolowsky , Eva Schinnerer

Semantic segmentation of 3D point clouds is a challenging problem with numerous real-world applications. While deep learning has revolutionized the field of image semantic segmentation, its impact on point cloud data has been limited so…

Computer Vision and Pattern Recognition · Computer Science 2017-05-10 Felix Järemo Lawin , Martin Danelljan , Patrik Tosteberg , Goutam Bhat , Fahad Shahbaz Khan , Michael Felsberg

Stellar shells are low surface brightness features, created during nearly head-on galaxy mergers from the debris of the tidally disrupted satellite. Here, we investigate the formation and evolution mechanism of shells in six dimensions (3d…

Astrophysics of Galaxies · Physics 2022-02-25 C. A. Dong-Páez , E. Vasiliev , N. W. Evans

Hierarchical biomaterials embody nature's intricate design principles, offering advanced functionalities through the complex, multi-level organization of their molecular and nanosized building blocks. However, the comprehensive…

Mesoscale and Nanoscale Physics · Physics 2024-07-10 Matteo Busi , Elisabetta Nocerino , Agnes Åhl , Lennart Bergström , Markus Strobl

3D print is a recently developed technique, for single-unit production, and for structures that have been impossible to build previously. The current work presents a method to 3D print polymer bonded isotropic hard magnets with a low-cost,…

Instrumentation and Detectors · Physics 2016-10-28 C. Huber , C. Abert , F. Bruckner , M. Groenefeld , O. Muthsam , S. Schuschnigg , K. Sirak , R. Thanhoffer , I. Teliban , R. Windl , and D. Suess

Previous attempts at segmenting molecular line maps of molecular clouds have focused on using position-position-velocity data cubes of a single line to separate the spatial components of the cloud. In contrast, wide field spectral imaging…

Traditional analysis techniques may not be sufficient for astronomers to make the best use of the data sets that current and future instruments, such as the Square Kilometre Array and its Pathfinders, will produce. By utilizing the…

Instrumentation and Methods for Astrophysics · Physics 2010-01-14 Amr H. Hassan , Christopher J. Fluke , David G. Barnes