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ISSN: 2214-9147

MmPiFNN: A multi-mode physics-informed fuzzy neural network for passive recognition of surface ships by underwater equipment using ship radiated noise signals

Ship radiated noise (SRN) is a key acoustic cue for underwater platforms such as submarines to detect, identify, and track surface vessels in long-range sonar confrontation scenarios. Accurate classification...

Environment-adaptive design of multilayer optical structures for surface polariton excitation via dynamic multi-objective optimization

The graphene–dielectric multilayer architecture constitutes a fundamental and widely utilized platform for sustaining surface polariton (SP) propagation. Owing to their extraordinary prospects in defence...

Mechanochemical perspective beyond thermochemical models: Desensitization mechanisms of CL-20 host-guest systems under shock loading

Experimental host-guest strategies improve the safety of the high-energy explosive CL-20 without compromising its energy output. However, the molecular mechanism underlying this improvement remains...

Adaptive RF stealth for next-generation long-range cruise missiles through interdisciplinary integration of MnZn ferrite/epoxy RAM and sea-surface multipath null exploitation

This study presents an interdisciplinary framework to enhance the radar cross-section (RCS) reduction of next-generation long-range cruise missiles by integrating MnZn ferrite/epoxy-based radar-absorbing...

Polynitromethyl high-energy materials with a tricyclic furoxan-oxadiazole scaffold: Synthesis, stability, and detonation performance

Polynitromethyl explosives exhibit outstanding detonation performance, yet their application is significantly hindered by safety concerns. Thus, enhancing the stability of polynitromethyl high-energy...

Physics-informed neural network model for predicting projectile mass erosion integrating cutting and thermal melting mechanisms

High-velocity penetration of projectiles into concrete induces intense thermomechanical interactions that lead to substantial projectile mass erosion, thereby compromising structural integrity and ballistic...

Machine learning driven impact fracture understanding and end-to-end design of energetic multi-principal-element alloys

Energetic multi-principal-element alloys (EMPEAs) have garnered considerable attention for their reactive characteristics and compositional flexibility in pyrotechnic applications. However, the complex...

Photothermal dynamics in functionally graded semiconductors with size-dependent effects under pulsed laser excitation

This study investigates the photothermal behavior of nonlocal, functionally graded (FG) semiconductor materials under ultra-short pulsed laser heating, addressing a critical gap in understanding the...

Interactive effects of process parameters and porosity defect evaluation in thermoplastic composite resistance welding: A model-data-driven AOA-BP neural network framework

To address parameter regulation of temperature fields and strength prediction during thermoplastic composite resistance welding, a multi-physics simulation-integrated machine learning framework for...

Adaptive elite ant colony optimization for track planning in gravity-aided navigation with multi-feature fusion

Autonomous Underwater Vehicle track planning is critical for maritime defense missions, particularly in signal-denied and stealth-sensitive environments. Gravity-aided inertial navigation systems (GAINS),...

Distributed auction-based adaptive task assignment and re-assignment for multi-UAV suppressive jamming

Task assignment is critical for multiple unmanned aerial vehicles (UAVs) to perform suppressive jamming against radar network. However, under abrupt state changes of enemy radars, centralized methods...

Artificial intelligence-optimized gypsum-based composites for stealth technology: Integrating high strength performance and radar absorption

The demand for lightweight, high-performance materials with electromagnetic shielding capability is increasing, particularly in aerospace, defense, and infrastructure applications. This study introduces...

The dynamic fragmentation of Mott ring containing defects

This study investigates dynamic fragmentation mechanism in defective brittle materials under impulsive loading through an analysis of fragment size distribution in rock Mott rings. A hybrid finite-discrete...

Ignition and combustion characteristics of aluminum particle in high-temperature turbulent environment

This study presents fundamental experiment and optical diagnostics on the ignition and combustion process of micron-sized aluminum particles in high-temperature turbulent environment. Firstly, the turbulent...

Advancing boron-based thermites via TiB2 as a fuel

Thermite is widely utilized in fields such as munitions, propulsion, welding, and materials synthesis. In particular, boron (B)-based thermites have shown promising thermochemical properties due to...

A systematic review on advanced surface coating technologies for high-pressure piston pumps

Piston pumps are extensively employed in the industrial and aerospace sectors, particularly in applications that demand high-pressure operation and precise flow regulation. However, the inherent structural...

Attitude control of multirotor with image-aided terminal guidance for precision target strike

Precise long-range strikes using multirotors equipped with rigidly fixed Explosively Formed Penetrator (EFP) encounter multiple challenges, including platform disturbances, inherent EFP dispersion characteristics,...

Synergistic effects on damage behavior and failure mechanisms of pre-tensioned hybrid laminates subjected to ballistic impacts

Understanding the synergistic effects of preload and impact on damage behavior is critical for composite structures under service conditions, yet it remains inadequate characterization. This study systematically...

Crystal structure evolution and thermal stability of high explosive RDX characterized by in situ single crystal X-ray diffraction

Crystal structure evolution of energetic crystals under external stimuli can significantly change their chemical/physical properties and profoundly impact the effectiveness and safety of weapon systems....

IQTF-GFN: A Gated dual-path network for automatic modulation classification of dual-component overlapping emitter signals

Achieving reliable modulation recognition for overlapping dual-component emitter signals in dense, low signal-to-noise ratio (SNR) electromagnetic environments presents a formidable challenge for modern...

Dynamic behavior analysis of strongly coupled high-order Duffing-Van der Pol system and its application in underwater acoustic signal detection

As the composition of marine environmental noise is intricate and changeable, and the stealth technology of ships keeps advancing, the signal-to-noise ratio (SNR) of the collected underwater acoustic...

Study on the correlation mechanism between carbon evolution and energy release in oxygen-deficient explosives

For explosives with a pronounced negative oxygen balance, the condensation and phase transition of carbon in both the chemical reaction zone and the isentropic expansion zone play a critical role in...

Investigation on operating characteristics of solid fuel-rich gas rotating detonation engine

While hydrocarbon solid fuel-rich propellants possess high energy density and reliability, the resulting fuel-rich gas contains a significant fraction of low-detonability components, posing severe challenges...

Aerial-aquatic vehicle transition dynamics of a cylindrical structure crossing a wave

The hydrodynamic response and cavity evolution of a cylindrical body crossing a wave, a representative scenario for aerial-aquatic vehicle transitions near the air–water interface, are explored. A combined...

A comprehensive analysis of FML based on UHMWPE against ballistic impact: An Experimental and Numerical Approach

Ballistic protection in light vehicles has traditionally been implemented through add-on armor panels, which increases the areal density of the structural system and reduces mobility and maneuverability...

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