Results 111 to 120 of about 2,772,396 (335)

A Holistic Approach to Accelerator Reliability Modeling [PDF]

, 2016
Reliability has been identified as a key factor limiting the development of certain particle accelerator applications, for example Accelerator-Driven Systems (ADS) for energy production and waste-transmutation.
Rescic, M., Seviour, Rebecca
core  

Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL [PDF]

, 2020
Simon Hirlaender, Niky Bruchon
openalex   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

A solid-state low-noise preamplifier [PDF]

Solid state low noise preamplifier for particle detector of electrostatic accelerator ...
Hansen, D. O., Roy, N. L.
core   +1 more source

Irradiation of Materials with Short, Intense Ion pulses at NDCX-II

, 2017
We present an overview of the performance of the Neutralized Drift Compression Experiment-II (NDCX-II) accelerator at Berkeley Lab, and report on recent target experiments on beam driven melting and transmission ion energy loss measurements with ...
Barnard, JJ, Feinberg, E, Friedman, A, Gilson, EP, Grote, DP, Ji, Q, Kaganovich, ID, Ludewigt, B, Persaud, A, Schenkel, T, Seidl, PA, Sierra, C, Silverman, M, Stepanov, AD, Sulyman, A, Treffert, F, Waldron, WL, Zimmer, M   +17 more
core   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source

Impact of beam–beam effects on absolute luminosity calibrations at the CERN Large Hadron Collider

European Physical Journal C: Particles and Fields
At the Large Hadron Collider (LHC), absolute luminosity calibrations obtained by the van der Meer (vdM) method are affected by the mutual electromagnetic interaction of the two beams.
A. Babaev, T. Barklow, O. Karacheban, W. Kozanecki, I. Kralik, A. Mehta, G. Pasztor, T. Pieloni, D. Stickland, C. Tambasco, R. Tomas, J. Wańczyk   +11 more
doaj   +1 more source

PeV-scale dark matter as a thermal relic of a decoupled sector

Physics Letters B, 2016
In this letter, we consider a class of scenarios in which the dark matter is part of a heavy hidden sector that is thermally decoupled from the Standard Model in the early universe.
Asher Berlin, Dan Hooper, Gordan Krnjaic
doaj   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Fatjet signatures of heavy neutrinos and heavy leptons in a left-right model with universal seesaw at the HL-LHC

European Physical Journal C: Particles and Fields
We perform a collider search for fatjet signals originating from boosted heavy neutral and charged leptons with masses between a few hundred GeV to a TeV.
Atri Dey, Rafiqul Rahaman, Santosh Kumar Rai   +2 more
doaj   +1 more source