Results 61 to 70 of about 496,396 (282)

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

On solving norm equations in global function fields

Journal of Mathematical Cryptology, 2009
The potential of solving norm equations is crucial for a variety of applications of algebraic number theory, especially in cryptography. In this article we develop general effective methods for that task in global function fields for the first time.
Gaál István, Pohst Michael E.
doaj   +1 more source

Tensors, !-graphs, and non-commutative quantum structures [PDF]

Electronic Proceedings in Theoretical Computer Science, 2014
Categorical quantum mechanics (CQM) and the theory of quantum groups rely heavily on the use of structures that have both an algebraic and co-algebraic component, making them well-suited for manipulation using diagrammatic techniques.
Aleks Kissinger, David Quick
doaj   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

HIERARCHY OF ALGEBRAIC BAYESIAN NETWORK GLOBAL STRUCTURES AS A SYSTEM OF GRAPHS AND HYPERGRAPHS [PDF]

Научно-технический вестник информационных технологий, механики и оптики, 2013
Algebraic Bayesian networks are logical and probabilistic graphical models which make it possible to perform logical and probabilistic inference for knowledge uncertainty formalized via scalar and interval truth values of propositional formulae.
A. A. Filchenkov
doaj  

Vortex Loop Phase Transitions in Liquid Helium, Cosmic Strings, and High-T_c Superconductors

, 1999
The distribution of thermally excited vortex loops near a superfluid phase transition is calculated from a renormalized theory. The number density of loops with a given perimeter is found to change from exponential decay with increasing perimeter to ...
A. Gill, A. Nguyen, A. Nguyen, B. Chattopadhyay, C. Bäuerle, C. De Dominicus, D. Awaschalom, D. Dominguez, D. Nelson, E. Pollack, G. A. Williams, G. A. Williams, G. A. Williams, G. A. Williams, G. A. Williams, G. A. Williams, G. Kohring, G. Volovik, Gary A. Williams, J. Akao, L. Goldner, L. Onsager, M. Dodd, M. Ferrari, M. Kiometzis, N. Antunes, N. Antunes, N. Madras, S. R. Shenoy, S. R. Shenoy, S. Ryu, T. Vachaspati, V. Emery, V. Ginzburg, V. Ruutu, W. Zurek   +35 more
core   +1 more source

Concurrent Terahertz Spin Excitations and Phase Shift Control in Fe4Nb2O9: A Material for Synergizing Computation and Communication Technologies

Advanced Science, EarlyView.
A multifunctional terahertz (THz) platform is demonstrated, in a model material Fe4Nb2O9, exhibiting a large intrinsic THz phase shift alongside distinct THz magnon excitations in its antiferromagnetic phase. This coexistence of phase modulation and spin dynamics offers a promising pathway toward integrated THz communication and magnonic computation ...
Brijesh Singh Mehra, Karan Datt Sharma, Sanjeev Kumar, Gaurav Dubey, Mitanshi Gupta, Ravi Shankar Singh, Dibakar Roy Chowdhury, Christine Martin, Antoine Maignan, Kiran Singh, Dhanvir Singh Rana   +10 more
wiley   +1 more source

Beyond Percolation: Graphene‐Enabled Network Reinforcement Enhances Thermal Transport in Paraffin Phase‐Change Composites

Advanced Science, EarlyView.
Expanded‐graphite/graphene‐nanoplatelet hybrids deliver a near‐order‐of‐magnitude thermal‐conductivity enhancement in paraffin phase‐change materials. A microCT‐informed 3D modeling framework resolves the percolating EG backbone and captures sub‐voxel GNP enrichment, quantitatively linking microstructure to heat flow and revealing a graphene‐enabled ...
Thomas Hoke, Jackson Hoke, Shucheng Guo, Brittany Chan, Xi Chen   +4 more
wiley   +1 more source

Approximation of Algebraic Curves in Function Spaces of Topological Sequences Connected to Specific Simple Graph Families

Journal of Function Spaces
Algebraic curves and topological sequences play a crucial role in mathematics and graph theory, serving as a bridge between geometry, algebra, and number theory.
Mohammad Mazyad Hazzazi, Muhammad Imran, Muhammad Nadeem, Muhammad Kamran, Samuel Asefa Fufa   +4 more
doaj   +1 more source

Notes on Number Theory

Mathematics
This paper presents a set of survey-style notes linking core themes of pure algebra with central topics in algebraic and analytic number theory. We begin with finite extensions of Q and describe algebraic number fields through their realization as finite-
Miroslav Stoenchev, Slavi Georgiev, Venelin Todorov   +2 more
doaj   +1 more source