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Accurate predictions for dark matter-electron scattering in solids require an all-electron treatment together with a faithful description of dielectric screening beyond simple approximations. In particular, local field effects, arising from…

High Energy Physics - Phenomenology · Physics 2026-03-16 Cyrus Dreyer , Rouven Essig , Marivi Fernandez-Serra , Megan Hott , Aman Singal

MOLSCAT is a general-purpose program for quantum-mechanical calculations on nonreactive atom-atom, atom-molecule and molecule-molecule collisions. It constructs the coupled-channel equations of atomic and molecular scattering theory, and…

Chemical Physics · Physics 2019-03-15 Jeremy M. Hutson , C. Ruth Le Sueur

In this paper, we introduce DCDepth, a novel framework for the long-standing monocular depth estimation task. Moving beyond conventional pixel-wise depth estimation in the spatial domain, our approach estimates the frequency coefficients of…

Computer Vision and Pattern Recognition · Computer Science 2024-10-23 Kun Wang , Zhiqiang Yan , Junkai Fan , Wanlu Zhu , Xiang Li , Jun Li , Jian Yang

The discrete cosine transform (DCT) is a relevant tool in signal processing applications, mainly known for its good decorrelation properties. Current image and video coding standards -- such as JPEG and HEVC -- adopt the DCT as a…

Image and Video Processing · Electrical Eng. & Systems 2022-12-09 T. L. T. da Silveira , D. R. Canterle , D. F. G. Coelho , V. A. Coutinho , F. M. Bayer , R. J. Cintra

We present a new open-source program, DCore, that implements dynamical mean-field theory (DMFT). DCore features a user-friendly interface based on text and HDF5 files. It allows DMFT calculations of tight-binding models to be performed on…

Strongly Correlated Electrons · Physics 2021-05-28 Hiroshi Shinaoka , Junya Otsuki , Mitsuaki Kawamura , Nayuta Takemori , Kazuyoshi Yoshimi

The article proposes formulating and codifying a set of applied numerical methods, coined as Deep Learning Discrete Calculus (DLDC), that uses the knowledge from discrete numerical methods to interpret the deep learning algorithms through…

Numerical Analysis · Mathematics 2022-12-01 Sourav Saha , Chanwook Park , Stefan Knapik , Jiachen Guo , Owen Huang , Wing Kam Liu

I develop a reduced basis emulator for continuum-discretized coupled-channel (CDCC) calculations that achieves speedups of $\sim 10^2$ while maintaining sub-percent accuracy. The emulator is constructed using the proper orthogonal…

Nuclear Theory · Physics 2025-12-22 Jin Lei

We formulate a finite-difference time-domain (FDTD) approach to simulate electromagnetic wave scattering from scatterers embedded in layered dielectric or dispersive media. At the heart of our approach is a derivation of an equivalent…

Mesoscale and Nanoscale Physics · Physics 2015-05-18 Lingxiao Zhang , Tamar Seideman

The electromagnetic scattering from elongated, arbitrarily shaped, open-ended cavities have been studied extensively over the years. In this paper we introduce the fast encapsulating domain decomposition (EDD) scheme for the analysis of…

Computational Physics · Physics 2018-01-17 Moti Zelig , Ehud Heyman , Amir Boag

Extremely large antenna arrays (ELAAs) operating in high-frequency bands have spurred the development of near-field communication, driving advancements in beam training and signal processing design. In this work, we present a low-complexity…

Signal Processing · Electrical Eng. & Systems 2025-06-27 Zijun Wang , Shawn Tsai , Rama Kiran , Rui Zhang

In this paper, we propose a new spectral decomposition method to simulate waves propagating in complicated waveguides. For the numerical solutions of waveguide scattering problems, an important task is to approximate the…

Numerical Analysis · Mathematics 2022-07-27 Ruming Zhang

We present a unified receiver processing framework for communication over delay-scale (DS)-spread channels that arise in underwater acoustic (UWA) communications that addresses both channel estimation (CE) and data detection for different…

Signal Processing · Electrical Eng. & Systems 2025-09-01 Niladri Halder , Chandra R. Murthy

Particle size measurement is crucial in various applications, be it sizing droplets in inkjet printing or respiratory events, tracking particulate ejection in hypersonic impacts, or detecting floating target markers in free surface flows.…

Fluid Dynamics · Physics 2023-10-04 Saini Jatin Rao , Shubham Sharma , Saptarshi Basu , Cameron Tropea

The scattering of a weakly bound (halo) projectile nucleus by a heavy target nucleus is investigated. A new approach, called the Uncorrelated Scattering Approximation, is proposed. The main approximation involved is to neglect the…

Nuclear Theory · Physics 2009-11-07 A. M. Moro , J. A. Caballero , J. Gómez-Camacho

We introduce CADE 2.5 (Comfy Adaptive Detail Enhancer), a sampler-level guidance stack for SD/SDXL latent diffusion models. The central module, ZeResFDG, unifies (i) frequency-decoupled guidance that reweights low- and high-frequency…

Computer Vision and Pattern Recognition · Computer Science 2025-10-20 Denis Rychkovskiy

We present the data-driven coupled-cluster deep network (DDCCNet), a family of multitask, physics-enhanced deep learning architectures designed to predict coupled-cluster singles and doubles (CCSD) amplitudes and correlation energies from…

Chemical Physics · Physics 2026-02-03 P. D. Varuna S. Pathirage , Konstantinos D. Vogiatzis

Discrete diffusion models have seen a surge of attention with applications on naturally discrete data such as language and graphs. Although discrete-time discrete diffusion has been established for a while, only recently Campbell et al.…

Machine Learning · Computer Science 2024-08-13 Lingxiao Zhao , Xueying Ding , Lijun Yu , Leman Akoglu

Computational tools for normal mode analysis, which are widely used in physics and materials science problems, are designed here in a single package called NMscatt (Normal Modes & scattering) that allows arbitrarily large systems to be…

Computational Physics · Physics 2009-11-13 Franci Merzel , Fabien Fontaine-Vive , Mark R. Johnson

Resonant inelastic x-ray scattering (RIXS) has become a very powerful experimental technique to probe a broad range of intrinsic elementary excitations, for example, from low energy phonons and (bi-)magnons to high energy $d$-$d$,…

Strongly Correlated Electrons · Physics 2019-06-20 Y. L. Wang , G. Fabbris , M. P. M. Dean , G. Kotliar

FLAC is a program to calculate the small-angle neutron scattering intensity of highly packed polydisperse systems of neutral or charged hard spheres within the Percus-Yevick and the Mean Spherical Approximation closures, respectively. The…

Statistical Mechanics · Physics 2009-10-31 Flavio Carsughi , Achille Giacometti , Domenico Gazzillo