Article
Chemistry, Multidisciplinary
Phong H. Nguyen, Massimo Boninsegni
Summary: This study presents results of large-scale Monte Carlo simulations of the 2D classical x-y model on the square lattice, obtaining high accuracy results for the superfluid fraction and specific heat as a function of temperature. The specific heat displays a well-defined peak independent of lattice size within certain range, impacting the interpretation of experiments on adsorbed thin films of He-4.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Physical
Matthew Jura, Marvin Bishop
Summary: This paper computes the scattering functions of nine generations of ideal tri-functional comb and dendrimer polymers using novel graph techniques. The properties of polymers with 9 to 3069 branches are explored. The g-ratios and scattering functions indicate that as the number of branches increases, comb polymers behave more like linear polymers with half the number of branches, while dendrimers become more like spherical objects.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Mechanics
Sergey F. Gimelshein, Ingrid J. Wysong
Summary: A new method based on the direct simulation Monte Carlo method is proposed to model core flow in a converging-diverging nozzle, with validation through comparison with experimental data. The study shows that nitric oxide (NO) density is highly sensitive to exchange reactions and NO recombination rates under specific conditions, while being less affected by nonequilibrium. Additionally, vibration-dissociation coupling has a significant influence on mole fractions of NO and O-2 under different shock tunnel conditions.
Article
Energy & Fuels
Jessica N. Castillo, Verny F. Resabala, Luigi O. Freire, Byron P. Corrales
Summary: Research and algorithms are being developed worldwide to predict and estimate the consumption of electrical energy in buildings and other facilities. This particular study developed a mathematical model to simulate the energy consumption of a building's main electrical loads. By collecting and analyzing data, the researchers proposed a solution to optimize the building's energy consumption profile.
Article
Mechanics
Haibing Peng
Summary: Despite the widespread use of Navier-Stokes equations in computational-fluid-dynamics (CFD), there are still unanswered questions due to the absence of considering the statistical nature of discrete air molecules. In this study, we propose a statistical mechanics-based approach called the volume-element method, which allows for the numerical evaluation of aerodynamic lift and drag. We obtained pressure and friction values as a function of the angle of attack for flat-plate airfoils, and this method can be directly applied to convex-shape airfoils and combined with Monte Carlo simulations for concave-shape airfoils. This approach not only has implications for aerodynamic applications, but also opens up possibilities for further applications in Boson or Fermi gases.
Article
Physics, Multidisciplinary
K. L. Zhang, Z. Song
Summary: The study reveals that applying a nonlocal non-Hermitian perturbation to an Ising chain merges the topological Kramer-like degeneracy in the ferromagnetic phase, with distinct dynamic responses for different quantum phases. The phase diagram at zero temperature is completely preserved at finite temperatures.
PHYSICAL REVIEW LETTERS
(2021)
Article
Engineering, Marine
Sayyid Zainal Abidin Syed Ahmad, Mohd Khairi Abu Husain, Noor Irza Mohd Zaki, Nurul Azizah Mukhlas, Gholamhossein Najafian
Summary: This study improves the prediction of offshore structural responses using linear, polynomial, and cubic regression models, resulting in more accurate structural response calculations.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Polymer Science
Jiping Wang, Wenbing Hu
Summary: This study reveals that thermodynamic interchain interactions have no effect on stress relaxation, while the other three local interactions delay the later stage of stress relaxation in nonlinear viscoelasticity. Both the kinetic aspects of intrachain and interchain interactions dominate the initiation temperatures of nonlinear viscoelasticity, and their barriers determine the deviation extent of nonlinear viscoelasticity towards different types of liquids.
Article
Polymer Science
Jiping Wang, Yihuan Yu, Yaqian Guo, Wen Luo, Wenbing Hu
Summary: By utilizing four sets of interaction parameters to characterize the thermodynamic and kinetic aspects of local intrachain and interchain interactions between monomers, our study showed that the kinetic aspects of intrachain and interchain interactions have a greater impact on diffusion energy in polymers compared to their thermodynamic aspects, as demonstrated through kinetic Monte Carlo simulations.
Article
Physics, Multidisciplinary
Aaram J. Kim, Katharina Lenk, Jiajun Li, Philipp Werner, Martin Eckstein
Summary: We propose a diagrammatic Monte Carlo approach for quantum impurity models, which is a generalization of the strong-coupling expansion for fermionic impurity models. The algorithm is based on a self-consistently computed three-point vertex and a stochastically sampled four-point vertex and provides numerically exact results in a wide parameter regime. The performance of the algorithm is demonstrated with applications to a spin-boson model representing an emitter in a waveguide. The spatial distribution of the photon density around the emitter is also discussed.
PHYSICAL REVIEW LETTERS
(2023)
Article
Mechanics
Hakan Kaygusuz, F. Bedia Erim, A. Nihat Berker
Summary: By adjusting the ratio between molecular interactions and electric field strength, a modular electroosmotic flow can be achieved for separations.
Article
Optics
Ruoyu Chen, Shanbao Tong, Peng Miao
Summary: This study proposes a deep-learning-based strategy for high spatiotemporal resolution three-dimensional (3D) reconstruction from a single transilluminated laser speckle contrast image, providing more structural and functional details without multifocus two-dimensional (2D) imaging or 3D optical imaging with point/line scanning. The method utilizes convolution of vessel masks with depth-dependent point spread functions (PSF) to generate a large training dataset, and employs UNet and ResNet for deblurring and depth estimation. The blood flow in the reconstructed 3D vessels is estimated by a depth-dependent contrast model. The proposed method achieves high-fidelity structural reconstruction with a depth-independent estimation of blood flow, and is suitable for real-time monitoring of thick tissue and the diagnosis of vascular diseases.
Article
Thermodynamics
Peng Zhang, Lidan Zhang
Summary: The study utilized a sophisticated Monte Carlo model to quantitatively investigate the temperature rise phenomenon during SEM imaging. The results revealed the temperature rise characteristics of different materials and the influencing factors, which is significant for understanding the physical mechanism of electron-beam-induced deposition.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Chemistry, Physical
Shiyan Wang, Anirudh Venkatesh, Doraiswami Ramkrishna, Vivek Narsimhan
Summary: A Brownian bridge is a continuous random walk guided by an effective drift to control the endpoint of a stochastic process. While widely applicable in chemical science, the main limitation is the difficulty in determining the effective drift and solving the complex Backward Fokker-Planck equation.
JOURNAL OF CHEMICAL PHYSICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Chanil Jeon, Jinhyeop Lee, Jungwook Shin, Wonjoong Cheon, Sunghwan Ahn, Kwanghyun Jo, Youngyih Han
Summary: A log-file-based Monte Carlo simulation method for patient quality assurance (QA) in line-scanning proton therapy was successfully developed. The results showed that the proposed method exhibited clinically acceptable accuracy when applying the 2%/2 mm criterion and had the potential to replace measurement-based dosimetry QA methods.
