Results 111 to 120 of about 48,835 (257)

U(1) flux tube profiles from Hamiltonian lattice gauge theory using a random walk ground-state projector

, 1994
We use a self-guided random walk to solve the ground-state problem of Hamiltonian U(1) pure gauge theory in 2+1 dimensions in the string sector. By making use of the electric-field representation, we argue that the spatial distribution of the electric ...
A. Schäfer, Bali, C. Best, Chin, Feilmair, Koonin, Peng   +6 more
core   +2 more sources

Orbital Magnetic Moment Controlled Converse Magnetoelectric Effect in bcc‐Co3Mn/Fe/V/PMN‐PT Multiferroic Heterostructures

Advanced Science, EarlyView.
Based on orbital magnetic moment control, a material design strategy is proposed for a giant converse magnetoelectric effect in multiferroic heterostructures. This study will pioneer a promising route toward low‐power spintronic devices with an electric field.
Takamasa Usami, Yuichi Murakami, Ryota Watarai, Yu Shiratsuchi, Yoshihiro Gohda, Kohei Hamaya   +5 more
wiley   +1 more source

Orbital Hybridization‐Mediated Decoupling of Electrocatalytic Functions for Paired CO2 Electrosynthesis

Advanced Science, EarlyView.
This study constructs a dual‐scale Ag‐based catalyst on CeO2 nanorods via a facet‐guided strategy. This catalyst can induce a cascaded orbital hybridization effect, which synergistically optimizes oxygen vacancy stability, CO desorption kinetics, and charge transfer efficiency.
Youjia Wang, Bochen Tian, Yuxin Tian, Wenchao Wang, Xin Ma, Yansheng Liu, Junwei Hou   +6 more
wiley   +1 more source

Quantized axial charge in the Hamiltonian approach to Wilson fermions

Journal of High Energy Physics
We investigate the Hamiltonian formulation of 1+1 D staggered fermions and reconstruct vector and axial charge operators, found by Arkya Chatterjee et al., using the Wilson fermion formalism.
Tatsuya Yamaoka
doaj   +1 more source

Spectrum and wave functions of excited states in lattice gauge theory [PDF]

, 2008
We suggest a new method to compute the spectrum and wave functions of excited states. We construct a stochastic basis of Bargmann link states, drawn from a physical probability density distribution and compute transition amplitudes between stochastic ...
Hosseinizadeh, Ahmad, Kröger, Helmut, Kröger, Jens, Laprise, Jean-François   +3 more
core  

Understanding the Interplay Between Thermal Activation, Diffusion, and Phase Segregation of Molecular Dopants Blended with Polymeric Semiconductors

Advanced Electronic Materials, EarlyView.
The use of air stable but thermally labile molecules provides an efficient strategy for the N‐type doping of organic semiconductors with relatively low electron affinities. Design criteria for efficient dopants should also take into account diffusion and phase segregation that cannot be decoupled from thermally activated doping.
Francesca Pallini, Sara Mattiello, Mauro Sassi, Gabriele Paoli, Giuseppe Mattioli, Pietro Rossi, Giulia Coco, Alberto D. Scaccabarozzi, Brian Minki Kim, Pietro Mariani, Hiba Wakidi, Sadie M. Flagg, Massimiliano D'Arienzo, Mario Caironi, Thuc‐Quyen Nguyen, Luca Beverina   +15 more
wiley   +1 more source

A bound state model for a light scalar

Journal of High Energy Physics, 2017
Recent lattice studies of near-conformal strong dynamics suggest the existence of a light scalar. This provides motivation to consider a simple Hamiltonian-based bound-state model where the pseudoscalar, scalar, vector and axial-vector states are treated
Bob Holdom, Roman Koniuk
doaj   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Exponential Improvements in the Simulation of Lattice Gauge Theories Using Near-Optimal Techniques

PRX Quantum
We report a first-of-its-kind analysis on post-Trotter simulation of U(1), SU(2), and SU(3) lattice gauge theories including fermions in arbitrary spatial dimension.
Mason L. Rhodes, Michael Kreshchuk, Shivesh Pathak   +2 more
doaj   +1 more source