Results 31 to 40 of about 1,151,315 (246)

Quantization of the Riemann Zeta-Function and Cosmology [PDF]

, 2007
Quantization of the Riemann zeta-function is proposed. We treat the Riemann zeta-function as a symbol of a pseudodifferential operator and study the corresponding classical and quantum field theories.
Barnaby N., Bogoliubov N. N., Calcagni G., Chandrasekharan K., Faddeev L. D., Hellegouarch Yves, Hormander L., I. V. VOLOVICH, I. YA. AREF'EVA, Koshelev A. S., Kozlov V. V., Maslov V. P., Rapoport M., Shubin M. A., Titchmarsh E. C., Vladimirov V. S., Volovich I. V., Ya. Aref'eva I., Ya. Aref'eva I.   +18 more
core   +2 more sources

Pendulum Integration and Elliptic Functions [PDF]

Journal of Mathematical Physics, 51, 032901, 2010, 2008
Revisiting canonical integration of the classical pendulum around its unstable equilibrium, normal hyperbolic canonical coordinates are ...
arxiv   +1 more source

The absolute continuity of the integrated density of states for magnetic Schr\"odinger operators with certain unbounded random potentials

, 2001
The object of the present study is the integrated density of states of a quantum particle in multi-dimensional Euclidean space which is characterized by a Schr{\"o}dinger operator with magnetic field and a random potential which may be unbounded from ...
Hupfer, Thomas, Leschke, Hajo, Müller, Peter, Warzel, Simone   +3 more
core   +2 more sources

Evaluation of dosimetric and spatial accuracy of a virtual cone technique for radiosurgery using linac‐integrated CBCT‐based polymer gel dosimetry

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study evaluates the dosimetric and geometric precision of a virtual cone technique using CBCT‐based polymer gel dosimetry, enabling radiation delivery, and imaging readout within an identical spatial coordinate system. Methods We created a C# script for a virtual cone technique that generates a treatment plan with 10 gantry arcs ...
Tenzin Kunkyab, Michael Lamey, Andrew Jirasek, Michael Kudla, Nathan Becker, Benjamin Mou, Derek Hyde   +6 more
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Developments in Random Matrix Theory

, 2003
In this preface to the Journal of Physics A, Special Edition on Random Matrix Theory, we give a review of the main historical developments of random matrix theory.
Forrester, P. J., Snaith, N. C., Verbaarschot, J. J. M.   +2 more
core   +1 more source

Mucus Physically Restricts Influenza A Viral Particle Access to the Epithelium

Advanced Biology, EarlyView.
The infectious potential of respiratory viruses depends on their ability to navigate through a layer of mucus that serves as a protective barrier in the lung. It is demonstrated that influenza A virus penetration through mucus is significantly limited by the gel's internal microstructure and, to a lesser extent, by adhesive binding to mucin glycans ...
Logan Kaler, Elizabeth M. Engle, Maria Corkran, Ethan Iverson, Allison Boboltz, Maxinne A. Ignacio, Taj Yeruva, Margaret A. Scull, Gregg A. Duncan   +8 more
wiley   +1 more source

Elasticity of Diametrically Compressed Microfabricated Woodpile Lattices

Advanced Engineering Materials, EarlyView.
Modulus–porosity relationship is derived for woodpile lattices with struts under diametrical compression. The formula presented here that Young's modulus is proportional to the square of the volume fraction E˜ρ2$E \sim \left(\rho\right)^{2}$ is shown to be consistent with computations and laboratory experiments on 3D‐printed samples.
Faezeh Shalchy, Atul Bhaskar
wiley   +1 more source

Electrospinning Technology, Machine Learning, and Control Approaches: A Review

Advanced Engineering Materials, EarlyView.
Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani, Gorkem Anil Al, Nael Berri, Bernardo Castro‐Dominguez, Hannah S. Leese, Uriel Martinez‐Hernandez   +5 more
wiley   +1 more source

More mathematics for pseudo-bosons [PDF]

J. Math. Phys, {\bf 54}, 063512 (2013), 2013
We propose an alternative definition for pseudo-bosons. This simplifies the mathematical structure, minimizing the required assumptions. Some physical examples are discussed, as well as some mathematical results related to the biorthogonal sets arising out of our framework.
arxiv   +1 more source