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As demand for Real-Time applications rises among the general public, the importance of enabling large-scale, unbound algorithms to solve conventional problems with low to no latency is critical for product viability. Timer algorithms are…

Data Structures and Algorithms · Computer Science 2019-07-16 Adam Lev-Libfeld

This paper presents a systematic investigation into the constrained generation capabilities of large language models (LLMs) in producing Songci, a classical Chinese poetry form characterized by strict structural, tonal, and rhyme…

Computation and Language · Computer Science 2026-02-19 Zhan Qu , Shuzhou Yuan , Michael Färber

We begin this chapter by introducing the simple algebraic structure of cyclic codes over finite fields. This structure undergoes a series of generalizations to present algebraic descriptions of constacyclic, quasi-cyclic (QC), quasi-twisted…

Information Theory · Computer Science 2022-04-08 Ramy Taki ElDin

We present a generic compact computational framework relying on structured random matrices that can be applied to speed up several machine learning algorithms with almost no loss of accuracy. The applications include new fast LSH-based…

Machine Learning · Computer Science 2016-06-07 Krzysztof Choromanski , Francois Fagan , Cedric Gouy-Pailler , Anne Morvan , Tamas Sarlos , Jamal Atif

The scientific code generation package lbmpy supports the automated design and the efficient implementation of lattice Boltzmann methods (LBMs) through metaprogramming. It is based on a new, concise calculus for describing multiple…

Mathematical Software · Computer Science 2023-08-15 Frederik Hennig , Markus Holzer , Ulrich Rüde

This work presents a novel algorithm for generating porous structures as an alternative to the PoreSpy program suite. Unlike PoreSpy, which often produces structures whose porosity deviates from the target value, our proposed algorithm…

Soft Condensed Matter · Physics 2026-01-06 Shota Arai , Takashi Yoshidome

Machine learning has proven to be a valuable tool to approximate functions in high-dimensional spaces. Unfortunately, analysis of these models to extract the relevant physics is never as easy as applying machine learning to a large dataset…

Materials Science · Physics 2020-05-06 Conrad W. Rosenbrock , Eric R. Homer , Gábor Csányi , Gus L. W. Hart

We present a high-level domain-specific language (DSL) interface to drive an adaptive incomplete $k$-d tree-based framework for finite element (FEM) solutions to PDEs. This DSL provides three key advances: (a) it abstracts out the…

Computational Engineering, Finance, and Science · Computer Science 2023-06-01 Eric Heisler , Cheng-Hau Yang , Aadesh Deshmukh , Baskar Ganapathysubramanian , Hari Sundar

Grain rotation and grain boundary (GB) sliding are two important mechanisms for grain coarsening and plastic deformation in nanocrystalline materials. They are in general coupled with GB migration and the resulting dynamics, driven by…

Materials Science · Physics 2014-12-30 Anup Basak , Anurag Gupta

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

Grain boundaries (GBs) govern critical properties of polycrystals. Although significant advancements have been made in characterizing minimum energy GBs, real GBs are seldom found in such states, making it challenging to establish…

Materials Science · Physics 2025-01-22 Avanish Mishra , Sumit A. Suresh , Saryu J. Fensin , Nithin Mathew , Edward M. Kober

An efficient algorithm for computing lower bounds on the global linear complexity of nonlinearly filtered PN-sequences is presented. The technique here developed is based exclusively on the realization of bit wise logic operations, which…

Cryptography and Security · Computer Science 2015-03-17 A. Fúster-Sabater , P. Caballero-Gil

We present efficient algorithms to calculate trajectories for periodic Lorentz gases consisting of square lattices of circular obstacles in two dimensions, and simple cubic lattices of spheres in three dimensions; these become increasingly…

Chaotic Dynamics · Physics 2016-01-20 Atahualpa S. Kraemer , Nikolay Kryukov , David P. Sanders

Grain Boundary (GB) deformation mechanisms such as Sliding (GBS) and Opening (GBO) are prevalent in alloys at high homologous temperatures but are hard to capture quantitatively. We propose an automated procedure to quantify 3D GB…

Materials Science · Physics 2025-07-24 C. J. A. Mornout , G. Slokker , T. Vermeij , D. König , J. P. M. Hoefnagels

Polycrystal microstructures, with their distinct physical, chemical, structural and topological entities, play an important role in determining the effective properties of materials. Particularly for computational studies, the well-known…

Materials Science · Physics 2021-07-07 Prince Henry Serrao , Stefan Sandfeld , Aruna Prakash

We address the problem of any-code completion - generating a missing piece of source code in a given program without any restriction on the vocabulary or structure. We introduce a new approach to any-code completion that leverages the…

Machine Learning · Computer Science 2020-07-30 Uri Alon , Roy Sadaka , Omer Levy , Eran Yahav

The progression of scientific computing resources has enabled the numerical approximation of mathematical models describing complex physical phenomena. A significant portion of researcher time is typically dedicated to the development of…

Mathematical Software · Computer Science 2015-06-22 Paul T. Bauman , Roy H. Stogner

We present the results of atomistic and ab initio simulation of several different tilt grain boundaries (GB) in silicon. The boundary structures obtained with genetic algorithm turned out to have no coordination defects, i.e. all silicon…

Materials Science · Physics 2016-11-03 Vitaly Yu. Lazebnykh , Andrey S. Mysovsky

Endowing robots with tool design abilities is critical for enabling them to solve complex manipulation tasks that would otherwise be intractable. While recent generative frameworks can automatically synthesize task settings, such as 3D…

Network representations can help reveal the behavior of complex systems. Useful information can be derived from the network properties and invariants, such as components, clusters or cliques, as well as from their changes over time. The…

Social and Information Networks · Computer Science 2019-03-18 Luis Ramada Pereira , Rui J. Lopes , Jorge Louçã