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High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science
Advances in High Energy Physics, 2014 Modern physics is based on both theoretical analysis and experimental validation. Complex scenarios like subatomic dimensions, high energy, and lower absolute temperature are frontiers for many theoretical models. Simulation with stable numerical methods
Florin Pop
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Entanglement—A Higher Order Symmetry
Physical Sciences Forum, 2023 Can we accurately model the spin state of a quantum particle? If so, we should be able to make identical copies of such a state and also obtain its mirror image.
Paul O’Hara
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Subatomic Physics Education and Outreach in Newfoundland [PDF]
Proceedings of XXIX International Symposium on Lepton Photon Interactions at High Energies — PoS(LeptonPhoton2019), 2019 A physics education provides students with a valuable and flexible skill set that opens doors to a wide variety of career paths, including industry, education and finance. However, Physics is almost universally unpopular in our local schools, especially among girls.
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Design and analysis of QCA adder circuits for efficient computation
ITEGAM-JETIA, 2021 QCA technology is considered a viable alternative for CMOS technology since it solves most of the CMOS implications. The Quantum dot Cellular Automata is a computer software program that relates a discrete dynamical system with quantum mechanics. Quantum
Jency Rubia J, Babitha Lincy R
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Computing the magnetic field response of the proton [PDF]
EPJ Web of Conferences, 2020 Background field methods offer an approach through which fundamental non-perturbative hadronic properties can be studied. Lattice QCD is the only ab initio method with which Quantum Chromodynamics can be studied at low energies; it involves numerically ...
Bignell Ryan +2 more
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Results in EngineeringLead-free tin halide perovskites, such as cubic-phase α-CsSnI3, face structural instability challenges in photovoltaic applications. Using density functional theory (DFT) with a 2×2×1 supercell, we investigate the effects of Zn and Cu doping on ...
I. Benaicha +9 more
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Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
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Material Sight: A Sensorium for Fundamental Physics
Artnodes, 2020 Often our attempts to connect to the spatial and temporal scales of fundamental physics - from the subatomic to the multiverse - provoke a form of perceptual vertigo, especially for non-scientists. When we approach ideas of paralysing abstraction through
Fiona Crisp
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Physical Foundations of Subatomic Attosecond Quantum Technologies for Storing Energy in Materials
Izvestiya of Altai State University, 2022 The article discusses the current development of physical principles of subatomic quantum technologies using ultrashort attosecond energy pulses within the ranges of deep-UV and soft X-ray radiation. It is necessary as a foundation of the process of nondestructive high-capacity reverse energy harvesting using accumulating nanoelectromechanical systems (
S.A. Beznosyuk +2 more
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Mind and Cosmos as Throughput Systems: A Convergence Through the Throughput Model
Systems Research and Behavioral Science, EarlyView.ABSTRACT This paper advances a conceptual and mathematical foundations approach by applying the throughput model (TPM) to cosmic phenomena, reframing the universe as an extended information processing system. TPM's four stages, Perception, Information, Judgement and Decision Choice, are reformulated in explicit information‐theoretic and dynamical ...
Waymond Rodgers
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