Results 41 to 50 of about 85,664 (160)

Quantum Convolutional Neural Networks for High Energy Physics Data Analysis [PDF]

open access: yesPhysical Review Research, 2020
This work presents a quantum convolutional neural network (QCNN) for the classification of high energy physics events. The proposed model is tested using a simulated dataset from the Deep Underground Neutrino Experiment.
Samuel Yen-Chi Chen   +4 more
semanticscholar   +1 more source

Neutrino Physics: Status and Prospects

open access: yes, 2003
This pedagogical overview will cover the current status of neutrino physics from an experimentalist's point of view, focusing primarily on oscillation studies. The evidence for neutrino oscillations will be presented, along with the prospects for further
Scholberg, K.
core   +2 more sources

Designing Thermally Compatible Template‐Coating Pairs Toward Dimensionally Stable 3D Porous Carbons with Tunable Density

open access: yesAdvanced Functional Materials, EarlyView.
3D porous carbons with tunable density are crucial for energy storage, separations, and load‐bearing applications; however, their fabrication is often constrained by shrinkage during pyrolysis. This study optimizes and demonstrates the versatility of a template–coating pair strategy, producing materials that largely retain their shape and hierarchical ...
Adarsh Suresh   +7 more
wiley   +1 more source

Physics at a Fermilab Proton Driver [PDF]

open access: yes, 2005
This report documents the physics case for building a 2 MW, 8 GeV superconducting linac proton driver at Fermilab.Comment: 52 pages, 15 ...
Albrow, M. G.   +47 more
core   +1 more source

Opportunities for lattice QCD in quark and lepton flavor physics

open access: yes, 2019
This document is one of a series of whitepapers from the USQCD collaboration. Here, we discuss opportunities for lattice QCD in quark and lepton flavor physics.
Blum, Tom   +10 more
core   +1 more source

Covalent Organic Frameworks for Photocatalysis

open access: yesAdvanced Materials, EarlyView.
This review provides an overview of recent advances in covalent organic frameworks (COFs) for photocatalysis, focusing on sustainable energy applications like water splitting, hydrogen peroxide generation, and CO2 and N2 reduction. It discusses design principles, structure‐function relationships, challenges in COF photocatalysis, and strategies to ...
Bikash Mishra   +6 more
wiley   +1 more source

Quantum-inspired machine learning on high-energy physics data [PDF]

open access: yesnpj Quantum Information, 2020
Tensor Networks, a numerical tool originally designed for simulating quantum many-body systems, have recently been applied to solve Machine Learning problems.
Timo Felser   +6 more
semanticscholar   +1 more source

The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe [PDF]

open access: yes, 2013
The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and ...
Adams, Corey   +485 more
core   +2 more sources

Neutrino Experiments and the LHC: Friends Across 14 Orders of Magnitude

open access: yes, 2013
This proceeding explores some of the questions that connect the LHC and neutrino experiments: What is the origin of mass? What is the meaning of flavor? Is there direct evidence of new forces or particles?
Conrad, J. M.
core   +1 more source

Which long-baseline neutrino experiments are preferable? [PDF]

open access: yes, 2007
We discuss the physics of superbeam upgrades, where we focus on T2KK, a NuMI beam line based experiment NOvA*, and a wide band beam (WBB) experiment independent of the NuMI beam line.
D. Marfatia   +5 more
core   +1 more source

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