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The small sub-barrier tunneling probability of nuclear processes can be dramatically enhanced by collision with incident charged particles. Semiclassical methods of theory of complex trajectories have been applied to nuclear tunneling, and…

Nuclear Theory · Physics 2014-11-18 Boris Ivlev , Vladimir Gudkov

The radiative decay of neutrino,such as (\bar{\nu_{\tau}}: \longrightarrow: \nu_{\mu}+\gamma), in the minimal supersymmetric standard model with right-handed neutrinos (MSSMRN) and in the (SU(5)) grand unified theory with right-handed…

High Energy Physics - Phenomenology · Physics 2007-05-23 Marie-Bernadette Causse

Might a nuclear-armed terrorist group or state use ordinary commerce to deliver a nuclear weapon by smuggling it in a cargo container or vehicle? This delivery method would be the only one available to a sub-state actor, and it might enable…

Physics and Society · Physics 2015-06-18 J. I. Katz

The employment of femtosecond pulsed lasers has received significant attention due to its capability to facilitate fabrication of precise patterns at the micro- and nano- lengths scales. A key issue for efficient material processing is the…

Materials Science · Physics 2022-08-26 George D. Tsibidis , Dimitris Mansour , Emmanuel Stratakis

The advances in deep learning (DL) techniques have the potential to deliver transformative technological breakthroughs to numerous complex tasks in modern power systems that suffer from increasing uncertainty and nonlinearity. However, the…

Cryptography and Security · Computer Science 2022-11-09 Jianing Bai , Ren Wang , Zuyi Li

The role of the dilaton field and its coupling to matter may result to a dilution of Dark Matter (DM) relic densities. This is to be contrasted with quintessence scenarios in which relic densities are augmented, due to modification of the…

High Energy Physics - Phenomenology · Physics 2011-06-06 A. B. Lahanas

This research explores the application of Deep Reinforcement Learning (DRL) to optimize the design of a nuclear fusion reactor. DRL can efficiently address the challenging issues attributed to multiple physics and engineering constraints…

Plasma Physics · Physics 2024-09-13 Jinsu Kim , Jaemin Seo

In the long history of science and technology development, one goal is to diffuse solid alloy elements into the surface of steel materials to form surface alloys with excellent physical and chemical properties. On the basis of plasma…

Plasma Physics · Physics 2024-06-19 Zhong Xu , Jun Huang , Hongyan Wu , Zaifeng Xu , Xiaoping Liu , Naiming Lin , Dongbo Wei , Pingze Zhang

Neutron sources can play a variety of roles in warhead verification. For transmission radiography, a source of directed high energy neutrons is required, while for applications to detect fissile isotopes, sub-MeV neutrons are preferred. The…

Instrumentation and Detectors · Physics 2025-03-19 Jihye Jeon , Erik P. Gilson , Michael Hepler , Alexander Glaser , Robert J. Goldston

Atomically Precise Manufacturing (APM) refers to the assembly of materials with atomic precision, representing a highly advanced technology with significant potential. However, the development of APM remains in its early stages, with…

Emerging Technologies · Computer Science 2024-09-04 Vadym Shvydun , Justin Sato , Gabriel Bristot

The utilisation of semiconductor materials as detectors and devices operating in high radiation environments, at the future particle colliders, in space applications or in medicine and industry, necessitates to obtain radiation harder…

Instrumentation and Detectors · Physics 2007-05-23 I. Lazanu , S. Lazanu , M. Bruzzi

We have investigated the partitioning of U between silicate melt and Fe liquid at pressures of 3.0 to14.5 GPa and temperatures of 1660 to 2500 oC. The solubility of U in liquid Fe is in the range of 0.6 to 800 ppm and increases with…

Astrophysics · Physics 2007-05-23 Xuezhao Bao , Richard A. Secco , Joel E. Gagnon , Brian J. Fryer

Deep Neural Networks (DNNs) are known to be vulnerable to both backdoor and adversarial attacks. In the literature, these two types of attacks are commonly treated as distinct robustness problems and solved separately, since they belong to…

Computer Vision and Pattern Recognition · Computer Science 2024-05-29 Zhenxing Niu , Yuyao Sun , Qiguang Miao , Rong Jin , Gang Hua

Degradation of first wall materials due to plasma disturbances severely limit both the lifetime and longevity of fusion reactors. Among the various kinds of disturbances, type I edge localized modes (ELMs) in particular present significant…

Computational modeling is an important aspect of the research on nuclear waste materials. In particular, atomistic simulations, when used complementary to experimental efforts, contribute to the scientific basis of safety case for nuclear…

Low internal and external quantum efficiencies in high Aluminium content AlGaN-based deep-ultraviolet light-emitting diode (DUV-LED) occurred due to strong polarization effects, spontaneous and piezoelectric polarization, at the interface…

The dangers of adversarial attacks on Uncrewed Aerial Vehicle (UAV) agents operating in public are increasing. Adopting AI-based techniques and, more specifically, Deep Learning (DL) approaches to control and guide these UAVs can be…

Machine Learning · Computer Science 2023-06-21 Thomas Hickling , Nabil Aouf , Phillippa Spencer

Recent measurements of the reaction d(d,p)t in metallic environments at very low energies performed by different experimental groups point to an enhanced electron screening effect. However, the resulting screening energies differ strongly…

Nuclear Experiment · Physics 2008-11-26 A. Huke , K. Czerski , P. Heide , G. Ruprecht , N. Targosz , W. Żebrowski

Amorphous interfacial complexions are particularly resistant to radiation damage and have been primarily studied in alloys with good glass-forming ability, yet recent reports suggest that these features can form even in immiscible alloys…

Materials Science · Physics 2023-11-21 Doruk Aksoy , Penghui Cao , Jason R. Trelewicz , Janelle P. Wharry , Timothy J. Rupert

We explore the capabilities of the upcoming Deep Underground Neutrino Experiment (DUNE) to measure $\nu_\tau$ charged-current interactions and the associated oscillation probability $P(\nu_\mu \to \nu_\tau)$ at its far detector,…

High Energy Physics - Phenomenology · Physics 2019-07-17 André de Gouvêa , Kevin J. Kelly , G. V. Stenico , Pedro Pasquini