English
Related papers

Related papers: Superconductivity in particle accelerators

200 papers

Study of superconductivity in layered iron-based materials was initiated in 2006 by Hosono's group, and boosted in 2008 by the superconducting transition temperature, Tc, of 26 K in LaFeAsO1-xFx. Since then, enormous researches have been…

Superconductivity · Physics 2012-01-04 Hyungju Oh , Jisoo Moon , Donghan Shin , Chang-Youn Moon , Hyoung Joon Choi

Superconducting materials find applications in a rapidly growing number of technological areas, and searching for novel superconductors continues to be a major scientific task. However, the steady increase in the complexity of candidate…

Superconductivity · Physics 2019-12-20 J. Yuan , V. Stanev , C. Gao , I. Takeuchi , K. Jin

As the scaling of conventional CMOS-based technologies slows down, there is growing interest in alternative technologies that can improve performance or energy-efficiency. Superconducting circuits based on Josephson Junction (JJ) is an…

Hardware Architecture · Computer Science 2019-02-15 Swamit S. Tannu , Poulami Das , Michael L. Lewis , Robert Krick , Douglas M. Carmean , Moinuddin K. Qureshi

Particle Accelerators are high power complex machines. To ensure uninterrupted operation of these machines, thousands of pieces of equipment need to be synchronized, which requires addressing many challenges including design, optimization…

Machine Learning · Computer Science 2025-04-08 Kishansingh Rajput , Sen Lin , Auralee Edelen , Willem Blokland , Malachi Schram

This paper presents the latest trends in the powering of particle accelerators. A series of solutions is proposed for responding to the challenges of high performance machines. This paper covers the domains of magnetic field uncertainty,…

Accelerator Physics · Physics 2016-07-07 J-P Burnet

This contribution provides a brief introduction to AC/RF superconductivity, with an emphasis on application to accelerators. The topics covered include the surface impedance of normal conductors and superconductors, the residual resistance,…

Accelerator Physics · Physics 2015-01-30 G. Ciovati

These reports present the results of the 2013 Community Summer Study of the APS Division of Particles and Fields ("Snowmass 2013") on the future program of particle physics in the U.S. Chapter 6, on Accelerator Capabilities, discusses the…

Since the announcement in 2011 of the Materials Genome Initiative by the Obama administration, much attention has been given to the subject of materials design to accelerate the discovery of new materials that could have technological…

Superconductivity · Physics 2016-06-01 M. R. Norman

The Large Particle Physics Laboratory Directors Group (LDG) established the Working Group on the Sustainability Assessment of Future Accelerators in 2024 with the mandate to develop guidelines and a list of key parameters for the assessment…

This review paper highlights the recent developments in supercapacitors by pointing out the significance of appropriate electrode and device designs. We reported ten extremely high-performance supercapacitors with specific capacitance…

Materials Science · Physics 2021-10-04 I. D. Yildirim , A. U. Ammar , M. Buldu-Akturk , F. Bakan , E. Erdem

New superconducting materials, particularly iron-based superconductors (IBS), have recently attracted attention for their potential applications in particle detectors and accelerators. This paper discusses the application of these materials…

Superconductivity · Physics 2026-04-07 Carlos Redondo Herrero , Akira Miyazaki

The discussion of enhancement of superconductivity is presented in the framework of the higher-grade hybrid model of layered superconductors. The enhancement is considered from the following two points of view: (i) as a result of long-range…

Superconductivity · Physics 2009-12-21 M. Sztyren

A phenomenological theory to describe the electromagnetic properties of granular superconductors, based on known bulk superconductors expressions and conventional Josephson's junctions tunneling currents, is presented and succesfully used…

Superconductivity · Physics 2007-05-23 A. Kunold , M. Hernandez , A. Myszkowki , J. L. Cardoso , P. Pereyra

A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) processes are still needed to efficiently access and exploit this accumulated knowledge, paving the way…

Superconducting materials hold great potential to bring radical changes for electric power and high-field magnet technology , enabling high-efficiency electric power generation, high-capacity lossless electric power transmission, small…

Superconductivity · Physics 2021-06-08 Chao Yao , Yanwei Ma

We take a comprehensive look at conductors used in superconducting magnets for the accelerator sector and explore the ramifications of the present marketplace for supply of conductor to future accelerator facilities. While there are…

Accelerator Physics · Physics 2022-08-29 Lance Cooley , David Larbalestier , Kathleen Amm

Vacuum systems are an intrinsic part of any accelerator around the world: all particles circulate under vacuum. This lecture gives rudiments on the fundamentals of vacuum science such as units, ideal gas law, partial pressure, mean free…

Accelerator Physics · Physics 2026-01-19 Vincent Baglin

Superconductivity in the simple elements is of both technological relevance and fundamental scientific interest in the investigation of superconductivity phenomena. Recent advances in the instrumentation of physics under pressure have…

Superconductivity · Physics 2009-11-10 Cristina Buzea , Kevin Robbie

HTS has the potential of a game changer for many applications of superconductivity, not last in the field of particle accelerators and detectors. This paper explores the potential of HTS, with a focus on REBCO-coated conductors, in relation…

Accelerator Physics · Physics 2025-11-10 L. Bottura , B. Bordini

Machine learning (ML) is a subfield of artificial intelligence. The term applies broadly to a collection of computational algorithms and techniques that train systems from raw data rather than a priori models. ML techniques are now…