Article
Engineering, Marine
Zhiyuan Sun, Hanbing Sun, Ping Li, Jin Zou
Summary: This paper proposes a self-organizing cooperative pursuit strategy for efficient and flexible pursuit in complex and dynamic marine environments. The strategy introduces the Apollonius circle as the final formation and predicts the trajectory of the target using the least-squares method. A discretization method is designed to describe the boundary of obstacles and combined with the artificial potential field method to improve collision avoidance efficiency. Dynamic obstacle avoidance is considered to extend the algorithm's applicability. Simulation results show that the self-organizing cooperative pursuit algorithm outperforms the common greedy algorithm in pursuit time, movement consistency, and obstacle avoidance effectiveness.
Article
Engineering, Ocean
Zhan-Feng Chen, Wen Wang, He Yang, Sun-Ting Yan, Zhi-Jiang Jin
Summary: The internal corrosion of subsea pipelines, caused by water, sediment, and chemical contaminants, is inevitable. Research shows that both long corrosion defects and axial tension significantly reduce the burst pressure of pipelines, increasing the risk of failure.
APPLIED OCEAN RESEARCH
(2021)
Article
Computer Science, Artificial Intelligence
Xiao Liang, Boran Zhou, Linping Jiang, Guanglei Meng, Yiwei Xiu
Summary: This study examines a strategy in a game involving a two-dimensional plane with a circular obstacle, featuring multiple pursuers and a single evader. All agents are Unmanned Aerial Vehicles, with the evader being faster than the pursuers. The pursuit-evasion mission is divided into two stages: encirclement and pursuit-evasion. A leader-follower formation and obstacle avoidance method are designed for the encirclement process, while a collaborative strategy combining the Apollonius circle algorithm and geometric algorithm analyzes the conditions for successfully capturing a faster evader in the pursuit-evasion stage. The simulation analyzes the impact of obstacle size and maneuver constraints, showing that they increase capture time and can change the game result in a limited map. Moreover, the algorithm's complexity is M times higher than that in the absence of obstacles (M being the number of obstacles on the map).
CONNECTION SCIENCE
(2023)
Article
Computer Science, Hardware & Architecture
Xiang Hua, Jing Liu, Jinjin Zhang, Chenglong Shi
Summary: This study proposes an apollonius circle based game theory and Q-learning approach for cooperative hunting of unmanned aerial vehicle (UAV) cluster. It uses game theory and apollonius circle to construct behavior strategies and payment matrix for pursuers and evader. State-action matrix is built based on Q-learning algorithm and reward mean, and a dynamically adjusting the greedy factor is designed. Nash equilibrium solution is derived from the state-action matrix to guide the pursuers for cooperative hunting. Simulation results show that this approach reduces the learning steps by 50.8% compared to traditional Q-learning and reduces the hunting time by 16.83%, 27.35% and 12.56% respectively compared to baseline methods.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Review
Multidisciplinary Sciences
Alexander Bednyakov, Alfiia Mukhaeva
Summary: Asymptotic safety is an example of how ideas from statistical physics can be applied to high-energy physics. It is connected to fixed points of the renormalization-group flow and extends the concept of asymptotic freedom to a scale-invariant UV completion with non-vanishing interactions. This review discusses the key ideas behind asymptotic safety, the mechanism for achieving it, and its implications for gauge-Yukawa field theories. It also explores potential applications and provides an overview of standard model extensions that may exhibit asymptotic safety.
Article
Materials Science, Multidisciplinary
Chao-Ming Jian, Xiao-Chuan Wu, Yichen Xu, Cenke Xu
Summary: This study explores the physical constructions and boundary properties of various symmetry-protected topological phases involving 1-form symmetries, from one spatial dimension to four spatial dimensions. It also examines anomalies of 3d states of matter and discusses the connection between SPT states with 1-form symmetries and condensed-matter systems in lower dimensions. Additionally, the potential trivial gapped phases of quantum dimer models are explored based on the nature of their corresponding bulk states in higher dimensions.
Review
Physics, Multidisciplinary
Dmitri P. Sorokin
Summary: This article summarizes the general properties of non-linear electrodynamics and specific models, and introduces the applications of non-linear electromagnetic effects in physical phenomena, properties of gravitational objects, and the evolution of the universe.
FORTSCHRITTE DER PHYSIK-PROGRESS OF PHYSICS
(2022)
Article
Engineering, Multidisciplinary
Alvaro Humberto Salas Salas, Jairo Ernesto Castillo Hernandez, Lorenzo Julio Martinez Hernandez
Summary: The paper solves the Duffing equation with given initial conditions and introduces the concept of discriminant. It solves the equation in three cases based on the sign of the discriminant and demonstrates its application in soliton theory.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Review
Engineering, Multidisciplinary
MengWen Qiao, ZeRong Xing, JunHeng Fu, Jing Liu
Summary: This article systematically outlines the multiphase flow physics of room-temperature liquid metals (RTLMs), including their physical and chemical properties, driving modalities and manipulation methods. It also discusses the important applications of RTLMs multiphase flow in thermal management, energy harvesting, catalysis, soft machines, biomedicine, and printed electronics. The multiphase flow physics of RTLMs is currently in its incubation stage, and there are tremendous opportunities and challenges worth further research.
SCIENCE CHINA-TECHNOLOGICAL SCIENCES
(2023)
Review
Chemistry, Analytical
Ju Liu, Guoyang Xie, Sidi Lv, Qin Xiong, Hengyi Xu
Summary: Isothermal nucleic acid amplification techniques are crucial diagnostic tools for clinical applications and food safety inspections. Rolling circle amplification (RCA) is a highly efficient and robust method that meets the convenient amplification requirements for point-of-care testing. This review introduces the principles, species, and optimization strategies of RCA, and summarizes recent achievements in the design, development, and application of RCA biosensors. Additionally, the versatile application of RCA in DNA nanotechnology for bioimaging, drug delivery, and therapeutics is discussed. The current challenges and future perspectives of the RCA technique are also addressed.
TRAC-TRENDS IN ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Jingyang Zhang, Yu Wang, Xudong Zhao, Mengmeng Chen, Yuan Peng, Jialei Bai, Shuang Li, Dianpeng Han, Shuyue Ren, Kang Qin, Sen Li, Tie Han, Zhixian Gao
Summary: The development of a dual sensitization smartphone colorimetric strategy based on rolling circle amplification (RCA) coils gathering Au tetrahedra has been successful. This strategy utilizes the dual sensitization effect of RCA and Au tetrahedra to amplify the signal. The use of ImageJ software allows for timely target detection under practical conditions.
ANALYTICAL CHEMISTRY
(2021)
Article
Instruments & Instrumentation
Quinn Looker, Eric J. Oberla, John W. Stahoviak, Isar Mostafanezhad, Ryan Pang, Marcus Luck, Benjamin R. Galloway, Patrick K. Rambo, John L. Porter
Summary: This study presents the Ultrafast Pixel Array Camera (UPAC) as a compact and flexible detector readout system for rapidly recording signals in high energy density physics, shock physics, and related fields. The UPAC system features 32 waveform-recording channels at up to 10 Gsample/s and 1.8 GHz analog bandwidth. Its compact design allows direct embedding in the detector environment with low power consumption and a high-density input connector.
REVIEW OF SCIENTIFIC INSTRUMENTS
(2022)
Article
Mathematics
Emilia Florio
Summary: Mydorge's treatise on conics resonated with scholars in the field and raised questions about his knowledge and cultural context. Despite being regarded as a great mathematician in Paris, both his work and his figure have not received much attention in current literature.
Review
Multidisciplinary Sciences
Shun-Peng Zhu, Lanyi Wang, Changqi Luo, Jose A. F. O. Correia, Abilio M. P. De Jesus, Filippo Berto, Qingyuan Y. Wang
Summary: The development of machine learning offers a promising solution for ensuring the structural integrity of critical components. However, the lack of respect for physical laws, data dependency, and poor extrapolation performance challenge the further application of pure data-driven methods. Physics-informed machine learning (PIML) aims to overcome these limitations by incorporating physical information into ML models. This paper discusses various approaches to embedding physical information and reviews the advancements of PIML in structural integrity, showcasing its potential in improving consistency with prior knowledge, extrapolation performance, prediction accuracy, interpretability, and computational efficiency, while reducing dependence on training data.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Article
Physics, Multidisciplinary
Liu Jin-Guo, Xu Kai-Lai
Summary: Automatic differentiation is a key technology that automatically differentiates a computer program, with significant importance in physics simulations for solving important issues in chaos theory, electromagnetism, seismic and oceanographic studies.
ACTA PHYSICA SINICA
(2021)
