🔬 physics

Strong-Field Amplitude Modulation of Massless Klein--Gordon Waves near a Schwarzschild Horizon

This paper demonstrates that massless Klein-Gordon waves near a Schwarzschild horizon exhibit strong-field amplitude modulation and significant deviations from the null-geodesic approximation at low frequencies, interpreting the resulting near-horizon group velocity growth as a breakdown of the eikonal approximation rather than a violation of causality.

Benliang Li, Jun Liu, HengJian SiTu2026-08-25
🔬 physics

Boundary-Phase Control of Sequentially Addressed Trapped-Ion ZZ Interactions

This paper proposes and analyzes a boundary-phase control scheme for sequentially addressed trapped-ion ZZ interactions, demonstrating that alternating force windows can generate high-fidelity entanglement with distinct phase signatures and predictable contrast, albeit at the cost of increased force action compared to simultaneous control.

Chun-Yang Luan, Haiyu Ding, Cheng-Kang Pan, Xiangjie Li, Lin Cheng, Gangxi Wang, Yuting Lei, Peilin Zheng, Shixin Hu, Xi (…)2026-08-25
🔬 physics

Synthesis, Characterization, and GGA+U Electronic Structure Calculations of Hexagonal Covellite (CuS) Nanoparticles for Optoelectronic and Photothermal Applications

This study reports the successful synthesis and characterization of hexagonal CuS nanoparticles with a 2.36 eV band gap, supported by GGA+U calculations that validate the material's direct band gap nature and strong near-infrared absorption, highlighting its potential for photothermal and p-type optoelectronic applications.

Hussam Musleh, Samy Mansy, Jehad Asad, Naji AlDahoudi, Abdelylah Daoudi, Abdelilah Lahmar, Sami Shaat2026-08-25
🔬 physics

Multi-octave Supercontinuum Generation at Mid-Infrared by Non-Gaussian Pulses in Semiconductor Quantum Wells

This study demonstrates that a symmetric single quantum well system operating under electromagnetically induced transparency can efficiently generate multi-octave mid-infrared supercontinua using non-Gaussian pulses, with cosh-Gaussian and tanh-Gaussian profiles yielding the broadest spectral extensions of up to 2.54 octaves.

Nafisa Nasrin, Bhaskarjyoti Mahanta, Rohit Mukherjee, Nitu Borgohain2026-08-25
🔬 physics

Enhancing the Therapeutic Ratio in Prostate LDR Brachytherapy: A TOPAS Monte Carlo Investigation ofNanoparticle Radiosensitization

This TOPAS Monte Carlo study demonstrates that incorporating gold or platinum nanoparticles into prostate LDR brachytherapy significantly enhances tumor dose and improves the therapeutic ratio, with gold showing slightly superior performance but platinum emerging as a viable, cost-effective alternative.

Shahab Atefi, Payman Rafiepour, Parvin Ahmadi2026-08-25
🔬 physics

Impact of Manganese Incorporation on Structural, Optical and Magnetic Features of ZnO Nanoparticles

This study demonstrates that solution-synthesized Mn-doped ZnO nanoparticles (5.8–6 nm) maintain a pure wurtzite structure while exhibiting a red shift in optical absorption, quenched defect-related photoluminescence, and significantly enhanced room-temperature ferromagnetism attributed to bound magnetic polarons.

Nishad K K, Sapna P, Rashida T N K, Muhammed Arif P, Midhun H, Joshy Joseph2026-08-25
🔬 physics

Modelling the Global Electric Field in the Hermean Magnetosphere with Hall MHD Simulations

This study employs a global Hall-MHD model to demonstrate that Hall-effect-generated electric fields significantly exceed convective fields in key regions of Mercury's magnetosphere, thereby substantially altering the global electric field morphology and dynamics in ways that depend on solar wind conditions and interplanetary magnetic field orientation.

Fabio Prencipe, Markus Fränz, Willi Exner, Larissa Hallebach, Henry Holzkamp, Daniel Heyner, Norbert Krupp, Ferdinand Pl (…)2026-08-25
🔬 physics

Federated Scientific Machine Learning Framework for Multi-Scale Inverse Parameter Identification: Application to Nonlocal Strain Gradient Plasticity

This study introduces a novel inverse federated scientific machine learning (I-FedSciML) framework that enables the privacy-preserving, collaborative calibration of nonlocal strain gradient plasticity model parameters across diverse micro-scale experimental datasets without centralizing raw data, achieving high predictive accuracy even under significant noise conditions.

George Z. Voyiadjis, Babur Deliktas, Aiman Tariq2026-08-25