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This work proposes a Graph Neural Network (GNN) modeling approach to predict the resulting surface from a particle based fabrication process. The latter consists of spray-based printing of cementitious plaster on a wall and is facilitated…

Computational Engineering, Finance, and Science · Computer Science 2025-04-01 Diego Machain Rivera , Selen Ercan Jenny , Ping Hsun Tsai , Ena Lloret-Fritschi , Luis Salamanca , Fernando Perez-Cruz , Konstantinos E. Tatsis

Molecular simulations of interfacial polar media routinely employ periodic boundary conditions parallel to the interface. We show that this lateral periodicity introduces a spatially uniform in-plane mode ($q_{\parallel}=0$) that is…

Statistical Mechanics · Physics 2026-04-14 Richard G. Hennig , Clotilde S. Cucinotta

Having discovered a dimension mistake in two key formulas of the Classical Nucleation Theory (CNT) but wishing to remain in the style of this theory, we propose to approach nucleation on the basis of the Zeldovich unsteady rate formula,…

Statistical Mechanics · Physics 2018-03-12 Laurent-Charles Valdès , Frédéric Affouard

While analyzing mobile systems we often approximate the actual coverage surface and assume an ideal cell shape. In a multi-cellular network, because of its tessellating nature, a hexagon is more preferred than a circular geometry. Despite…

Information Theory · Computer Science 2013-06-04 Mouhamed Abdulla , Yousef R. Shayan

Hybrid-Vlasov simulations resolve ion-kinetic effects in the solar wind-magnetosphere interaction, but even 5D (2D + 3V) configurations are computationally expensive. We show that graph-based machine learning emulators can learn the…

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

We discuss the problem of the optimal design of a micro-tubular fuel cell applying an inverse homogenization technique. Fuel cells are extremely clean and efficient electrochemical power generation devices, made up of a…

Computational Engineering, Finance, and Science · Computer Science 2016-03-29 Gabriel Delgado

We derive analytic formulae for the energy average (including the energy average of the fluctuation contribution) and variance of the intraband decay intensity of a superdeformed band. Our results may be expressed in terms of three…

Nuclear Theory · Physics 2009-11-07 A. J. Sargeant , M. S. Hussein , M. P. Pato , M. Ueda

Electrical waves in the heart form rotating spiral or scroll waves during life-threatening arrhythmias such as atrial or ventricular fibrillation. The wave dynamics are typically modeled using coupled partial differential equations, which…

Medical Physics · Physics 2024-10-07 Tanish Baranwal , Jan Lebert , Jan Christoph

We investigate thermonuclear explosions within the delayed detonation framework. While spherical delayed detonation models generally reproduce key observational features, a fundamental inconsistency emerges in three dimensions: 3D…

Solar and Stellar Astrophysics · Physics 2026-02-13 S. Shiber , P. Hoeflich , T. Mera , E. Fereidouni , Z. Levy , D. Maci , C. Ashall , E. Baron , M. Shahbandeh , K. Medler , W. B. Hoogendam , C. M. Pfeffer

The FR3 band has emerged as the major focus of 6G wireless research. FR3 cellular operation presents the challenge of extreme bandwidth combined with physically large antenna arrays. In this regime, conventional phase-shift beamforming…

Signal Processing · Electrical Eng. & Systems 2026-04-24 Tyler Ikehara , Ibrahim Pehlivan , Danijela Cabric , Thomas L. Marzetta

The pseudo-4D Doyle-Fuller-Newman (DFN) model enables predictive simulation of lithium-ion batteries with three-dimensional electrode architectures and particle-scale diffusion, extending the standard pseudo-2D (P2D) formulation to fully…

Molecular representation learning has attracted much attention recently. A molecule can be viewed as a 2D graph with nodes/atoms connected by edges/bonds, and can also be represented by a 3D conformation with 3-dimensional coordinates of…

Machine Learning · Computer Science 2022-07-20 Jinhua Zhu , Yingce Xia , Lijun Wu , Shufang Xie , Tao Qin , Wengang Zhou , Houqiang Li , Tie-Yan Liu

We develop a formalism for the calculation of the macroscopic dielectric response of composite systems made of particles of one material embedded periodically within a matrix of another material, each of which is characterized by a well…

The great power offered by photoionization models of Active Galactic Nuclei (AGN) emission-line regions has long been mitigated by the fact that very little is known about the spectral energy distribution (SED) between the Lyman limit,…

High Energy Astrophysical Phenomena · Physics 2020-05-13 Gary Ferland , Chris Done , Chichuan Jin , Hermine Landt , Martin Ward

Bacteria can form a great variety of spatially heterogeneous cell density patterns, ranging from simple concentric rings to dynamical spiral waves appearing in growing colonies. These pattern formation phenomena are important as they…

Populations and Evolution · Quantitative Biology 2025-01-17 John S. Chuang , Riccardo Rao , Stanislas Leibler

Magnetic reconnection plays a critical role in many astrophysical processes where high energy emission is observed, e.g. particle acceleration, relativistic accretion powered outflows, pulsar winds and probably in dissipation of Poynting…

Astrophysics · Physics 2010-11-24 G. C. Murphy , Rachid Ouyed , Guy Pelletier

It is generally assumed that all cells in models of the electrical behavior of cardiac tissue have the same properties. However, there are differences in cardiac cells that are not well characterized but cause spatial heterogeneity of the…

Tissues and Organs · Quantitative Biology 2024-12-11 Alejandro Nieto Ramos , Elizabeth M. Cherry

We are proposing a new computational thermochemistry protocol denoted W3 theory, as a successor to W1 and W2 theory proposed earlier [Martin and De Oliveira, J. Chem. Phys. 111, 1843 (1999)]. The new method is both more accurate overall…

Chemical Physics · Physics 2007-05-23 A. Daniel Boese , Mikhal Oren , Onur Atasoylu , Jan M. L. Martin , Mihaly Kallay , Juergen Gauss

Retrosynthesis prediction is a fundamental problem in organic synthesis, where the task is to identify precursor molecules that can be used to synthesize a target molecule. A key consideration in building neural models for this task is…

Machine Learning · Computer Science 2021-06-07 Vignesh Ram Somnath , Charlotte Bunne , Connor W. Coley , Andreas Krause , Regina Barzilay