This article studies the X-ray variability properties of distant active galactic nuclei (AGNs) in the Chandra Deep Field-South region over 17 yr, up to z ~ 4, and compare them with those predicted by models based on local samples.

Conference proceeding presenting a new mechanism of manipulation of population in molecular rotational levels in a weakly aligned molecules. Originally presented as an invited talk at the 29th International Laser Physics Workshop held July 19-23, 2021.

Article demonstrating a technique utilizing acoustic metasurfaces (AMSes) with high reflective characteristics using relatively lightweight materials for noise reduction without any change in mechanical strength or weight of the tire. The proposed design can significantly reduce the noise arising from tire–pavement interaction over a broadband of acoustic frequencies under 1000 Hz and over a wide range of vehicle speeds using a negative effective dynamic mass density approach.

Article presents quasi-simultaneous X-ray and rest-frame UV observations of quasi-stellar object (QSO) z = 6.025 QSO J1641+3755.

Article describes how photoconductivity is the crucial benchmark to assess the potential of any emerging material for future solar applications. This tutorial aims to familiarize the reader with the main THz techniques used to explore emerging materials.

Article describes a study exploring the possibility of fueling a magnetically confined plasma using particle sources located inside of the plasma.

Article reporting the results of blood cell characterization using label-free fluorescence imaging techniques and flow-cytometry. Autofluorescence parameters of different cell types – white blood cells, red blood cells, erythrophagocytic cells – are assessed and analyzed in terms of molecular heterogeneity and possibilities of differentiation between different cell types in vitro and in vivo.

This article presents an end-to-end functional bidirectional deep-learning (DL) model for three-dimensional chiral metamaterial design and optimization. This ML model utilizes multitask joint learning features to recognize, generalize, and explore in detail the nontrivial relationship between the metamaterials’ geometry and their chiroptical response, eliminating the need for auxiliary networks or equivalent approaches to stabilize the physically relevant output. This model efficiently realizes both forward and inverse retrieval tasks with great precision, offering a promising tool for iterative computational design tasks in complex physical systems. Other potential applications include photodetectors, polarization-resolved imaging, and circular dichroism (CD) spectroscopy.

Data management plan for the grant, "Connecting Galaxies and Supermassive Black Holes: Meso-scale Simulations of Multiphase Accretion Flows." It proposes to study how gas flows onto the supermassive black holes in massive galaxies and galaxy clusters. They will perform numerical simulations with a nested zoom-in technique, focusing on the mesoscale accretion flows from the Bondi radius to hundreds of Schwarzschild radii. They will predict the mass flux of different phases, as well as their angular momentum and magnetic flux.

Article introducing the quasiharmonic approximation three-phonon method to calculate the thermodynamic properties of both nonmetallic and metallic compounds. This study demonstrates that QHA3P is an ideal framework for the high-throughput prediction of finite-temperature material properties, combining the accuracy of QHA with the computational efficiency of SC-QHA.

Article describes how the main functions of thin-walled structures are to reduce the weight of the finished product and to increase the rigidity of the structure. The authors compared the vibration signal for different approaches to machining thin walled-components with vertical walls made of Ti6AI4V titanium alloy and Inconel 625 nickel alloy.

Authors of the article address the measurable consequences of the network effect (NE) on time series generated by different parts of the brain, heart, and lung organ-networks (ONs), which are directly related to their inter-network and intra-network interactions. The authors assert that these same physiologic ONs have been shown to generate crucial event (CE) time series, and herein are shown ,using modified diffusion entropy analysis (MDEA) to have scaling indices with quasiperiodic changes in complexity, as measured by scaling indices, over time.