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Exhaustive search for optimal molecular geometries using imaginary-time evolution on a quantum computer
This study proposes a nonvariational scheme for geometry optimization of molecules for the first-quantized eigensolver, which is a recently proposed...
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Dissipative Rogue Waves
In this chapter, the history and main characteristics of rogue waves in the oceans are introduced. Due to phenomenological and physical analogies...
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Parameter inference from event ensembles and the top-quark mass
One of the key tasks of any particle collider is measurement. In practice, this is often done by fitting data to a simulation, which depends on many...
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Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays
The presented study deals with the exploitation of the artificial intelligence knacks-based stochastic paradigm for the numerical treatment of the...
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An investigation of localized silicon quantum dots deposited on etched Si substrate by aggressive laser-assisted etching pathway
The current work discusses the deposition of localized silicon quantum dots (SiQDs) layer on etched Si substrate by aggressive laser-assisted etching...
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Effects of reconstruction methods on dose distribution for lung stereotactic body radiotherapy treatment plans
The aim of the present study was to investigate the effect of tumour motion on various imaging strategies as well as on treatment plan accuracy for...
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Sensitivity Analysis of Constructed Analogue Statistical Downscaling Method for Extreme Rainfall Prediction
Sensitivity analysis of a statistical downscaling (SD) method is to assess a method's shortcomings, evaluate the reliability, compare the...
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Secondary cancer risk estimations following the gastric cancer radiotherapy
Advances in gastric cancer radiotherapy have led to overall survival increments. Despite the radiotherapy advantages, there is a risk of develo**...
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Deep convolutional neural network for binary regression of three-dimensional objects using information retrieved from digital Fresnel holograms
A deep convolutional neural network (CNN)-based binary regression task on 3D objects using concatenated intensity-phase (whole information) image...
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Optimal Decision Support System under the Decommissioning of Nuclear Facilities
Abstract—An optimal decision support system under the decommissioning of nuclear facilities (a brief description of the structure is presented in the...
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Semi-empirical approach to assess externally-induced photoluminescence linewidth broadening of halide perovskite nanocrystals with particle-size distribution
Colloidal nanocrystals (NCs) can be used to prepare high-color-purity metal halide perovskites (MHPs) for light-emitting displays. However, the NCs...
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Phase Transitions and the Thermodynamic Properties of the Potts Model with the Spin State Number q = 4 at a Kagome Lattice
AbstractPhase transitions and the thermodynamic properties of the two-dimensional ferromagnetic Izing model with spin state number q = 4 on a kagome...
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Modeling of dielectric behavior of polymers nanocomposites using adaptive neuro-fuzzy inference system (ANFIS)
The research presents a theoretical study on modeling of dielectric properties of polymer nanocomposites based on adaptive neuro-fuzzy inference...
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Material optimization of the square composite granular structure composed of viscoelastic spheres for improving the impact mitigation performance
Three mitigation mechanisms can be considered in the design of an impact buffering structure made of granular materials. First, reflection and...
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Combined Scheme of Reconstruction of the Particle Size Distribution Function Using Small-Angle Scattering Data
To analyze polydisperse systems of nanoparticles, the particle size distribution function can be determined from small-angle X-ray and neutron...
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The Properties of Ion Channels Formed in Bilayer Lipid Membranes by Amphotericin and N-Methyl Derivative of Amphotericin under Their Action on One Side
It was found that the modification of one side of lipid membranes by amphotericin B and N‑methyl derivatives of amphotericin B (methamphocin)...
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Controllable formation of plasmonic gold nanoparticles by pulsed laser–induced etching
This work discusses the preparation and formation of macro porous silicon (PSi) with silicon nano pillars; synthesized via laser–induced etching. The...
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High-throughput fast full-color digital pathology based on Fourier ptychographic microscopy via color transfer
The usage of full-color imaging in digital pathology produces significant results. Compared with a grayscale image or a pseudocolor image containing...
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Finding new physics without learning about it: anomaly detection as a tool for searches at colliders
In this paper we propose a new strategy, based on anomaly detection methods, to search for new physics phenomena at colliders independently of the...
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Extensive studies of the neutron star equation of state from the deep learning inference with the observational data augmentation
We discuss deep learning inference for the neutron star equation of state (EoS) using the real observational data of the mass and the radius. We make...