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Related papers: Reproducible Validation and Replication Studies in…

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Local, bulk response functions, e.g permittivity, and the macroscopic Maxwell equations completely specify the classical electromagnetic problem, which features only wavelength $\lambda$ and geometric scales. The above neglect of intrinsic…

Replicability and reproducibility of experimental results are primary concerns in all the areas of science and IR is not an exception. Besides the problem of moving the field towards more reproducible experimental practices and protocols,…

Information Retrieval · Computer Science 2020-10-27 Timo Breuer , Nicola Ferro , Norbert Fuhr , Maria Maistro , Tetsuya Sakai , Philipp Schaer , Ian Soboroff

Difficulties in replication and reproducibility of empirical evidences in machine learning research have become a prominent topic in recent years. Ensuring that machine learning research results are sound and reliable requires…

Machine Learning · Computer Science 2024-03-20 Tobias Hille , Maximilian Stubbemann , Tom Hanika

Reproducibility of computational studies is a hallmark of scientific methodology. It enables researchers to build with confidence on the methods and findings of others, reuse and extend computational pipelines, and thereby drive scientific…

Reproducibility is an important feature of science; experiments are retested, and analyses are repeated. Trust in the findings increases when consistent results are achieved. Despite the importance of reproducibility, significant work is…

Digital Libraries · Computer Science 2023-01-12 Akhil Pandey Akella , Hamed Alhoori , David Koop

Research must be reproducible in order to make an impact on science and to contribute to the body of knowledge in our field. Yet studies have shown that 70% of research from academic labs cannot be reproduced. In software engineering, and…

Software Engineering · Computer Science 2018-04-10 Clinton Woodson , Jane Huffman Hayes , Sarah Griffioen

Results of simulation studies evaluating the performance of statistical methods are often considered actionable and thus can have a major impact on the way empirical research is implemented. However, so far there is limited evidence about…

Wall-bounded turbulence is relevant for many engineering and natural science applications, yet there are still aspects of its underlying physics that are not fully understood, particularly at high Reynolds numbers. In this study, we…

Fluid Dynamics · Physics 2024-04-04 Himani Garg , Lei Wang , Martin Andersson , Christer Fureby

In recent years, the research community, but also the general public, has raised serious questions about the reproducibility and replicability of scientific work. Since many studies include some kind of computational work, these issues are…

Software Engineering · Computer Science 2025-03-14 Lázaro Costa , Susana Barbosa , Jácome Cunha

Computational reproducibility of scientific results, that is, the execution of a computational experiment (e.g., a script) using its original settings (data, code, etc.), should always be possible. However, reproducibility has become a…

Human-Computer Interaction · Computer Science 2025-04-15 Lázaro Costa , Susana Barbosa , Jácome Cunha

We theoretically demonstrated and experimentally verified high-order radial spoof localized surface plasmon resonances supported by textured metal particles. Through an effective medium theory and exact numerical simulations, we show the…

Context: It has been argued that software engineering replications are useful for verifying the results of previous experiments. However, it has not yet been agreed how to check whether the results hold across replications. Besides, some…

Software Engineering · Computer Science 2020-11-06 Adrian Santos , Sira Vegas , Markku Oivo , Natalia Juristo

Over the past few years, deep learning methods have been applied for a wide range of Software Engineering (SE) tasks, including in particular for the important task of automatically predicting and localizing faults in software. With the…

Software Engineering · Computer Science 2024-02-09 Adil Mukhtar , Dietmar Jannach , Franz Wotawa

The interaction of electromagnetic waves with metallic nanostructures generates resonant oscillations of the conduction-band electrons at the metal surface. These resonances can lead to large enhancements of the incident field and to the…

Optics · Physics 2018-05-09 Ferran Vidal-Codina , Ngoc-Cuong Nguyen , Jaime Peraire

Experimental and theoretical studies of colloidal nanoparticles have primarily focused on accurate characterization and simulation of observable characteristics, such as resonant wavelength. In this Letter, we tackle the optimal design of…

Optics · Physics 2022-07-13 Owen D. Miller , Kyoungweon Park , Richard A. Vaia

In Yang et al. [Nature 576, 248 (2019)], the authors introduced a general theoretical framework for nanoscale electromagnetism based on Feibelman parameters. Here quantum effects of the optically excited electrons at the interface between…

Mesoscale and Nanoscale Physics · Physics 2022-03-08 Ulrich Hohenester , Gerhard Unger

We present a contribution to the field of system identification of partial differential equations (PDEs), with emphasis on discerning between competing mathematical models of pattern-forming physics. The motivation comes from developmental…

Computational Physics · Physics 2024-03-28 Zhenlin Wang , Xun Huan , Krishna Garikipati

In the rapidly evolving field of nanophotonics, achieving precise spectral and temporal light manipulation at the nanoscale remains a critical challenge. While photonic bound states in the continuum (BICs) have emerged as a powerful means…

Optics · Physics 2024-04-25 Haiyang Hu , Wenzheng Lu , Rodrigo Berte , Stefan A Maier , Andreas Tittl

We formulate and implement a spectral method for solving the Schrodinger equation, as it applies to quasi-one-dimensional materials and structures. This allows for computation of the electronic structure of important technological materials…

Computational Physics · Physics 2023-09-26 Shivang Agarwal , Amartya S. Banerjee

First-order systems of hyperbolic partial differential equations (PDEs) occur ubiquitously throughout computational physics, commonly used in simulations of fluid turbulence, shock waves, electromagnetic interactions, and even general…

Logic in Computer Science · Computer Science 2025-03-19 Jonathan Gorard , Ammar Hakim