Results 151 to 160 of about 357,046 (309)

Dynamical correlation functions in the Ising field theory

SciPost Physics
We study finite temperature dynamical correlation functions of the magnetization operator in the one-dimensional Ising quantum field theory. Our approach is based on a finite temperature form factor series and on a Fredholm determinant representation of ...
István Csépányi, Márton Kormos
doaj   +1 more source

Investigation of the Effects of Strain and Electric Field on the Spin‐State Energetics of Co‐Doped BaTiO3 and PbTiO3

Advanced Functional Materials, EarlyView.
Ab initio calculations using the r2SCAN functional show that biaxial strain does not alter the high spin preference of cobalt‐doped BaTiO3 and PbTiO3; a small compressive uniaxial strain however results in an equally favorable low spin state for BaTiO3 and thus bistable magnetism.
Oliver J. Conquest, Steefan Contractor, Leigh Weston, Catherine Stampfl   +3 more
wiley   +1 more source

Braiding Fibonacci anyons

Journal of High Energy Physics
Fibonacci anyons ε provide the simplest possible model of non-Abelian fusion rules: [1] × [1] = [0] ⊕ [1]. We propose a conformal field theory construction of topological quantum registers based on Fibonacci anyons realized as quasiparticle excitations ...
Ludmil Hadjiivanov, Lachezar S. Georgiev
doaj   +1 more source

On the analytic structure of a 3-point correlation function in a model quantum field theory

, 2020
In dieser Arbeit beschreibe ich die Bestimmung der analytischen Struktur einer Drei-Punkt-Funktion in dreidimensionaler phi 3-Theorie. Dafür wird das gekoppelte System der Dyson-Schwinger-Gleichungen von Propagator und Vertex für euklidische Impulse gelöst und das Ergebnis in der komplexen Ebene analytisch fortgesetzt.
openaire  

Excited State Modulation in Carbene‐Metal‐Amides to Design Fast and Bright Blue Delayed Fluorescence

Advanced Functional Materials, EarlyView.
Gold‐centered carbene‐metal amide (CMA) materials with carbonyl‐group substitution on the amide donor ligand. Molecular design ensures that the charge transfer (CT) state is lower in energy than the locally excited (3LE) states. The energy difference between CT and LE states controls the rate of the delayed fluorescence.
Charlotte Riley, Nguyen Le Phuoc, Mikko Linnolahti, Alexander S. Romanov   +3 more
wiley   +1 more source

High Performance Room Temperature Multiferroic Properties of w‐MnSe Altermagnet

Advanced Functional Materials, EarlyView.
Using first‐principles calculations, for the first time the Altermagneto‐Ferroelectric Coupling Effect (AFCE) is proposed, which enables control of both electric polarization and spin splitting in the band structure due to polyhedral rotations. This uncovers robust multiferroicity in wurtzite MnSe at room temperature, offering an exciting route for ...
Djamel Bezzerga, Imran Khan, Jisang Hong
wiley   +1 more source

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source

Quantum chaos in Liouville CFT

Journal of High Energy Physics
Fast scrambling is a distinctive feature of quantum gravity, which by means of holography is closely tied to the behaviour of large-c conformal field theories.
Julian Sonner, Benjamin Strittmatter
doaj   +1 more source

Defects in Inorganic Mechanoluminescent Phosphors: Insights and Impacts

Advanced Functional Materials, EarlyView.
Mechanoluminescence is attracting more attention recently, and defect dominates mechanoluminescence performances. Investigating how defects work in the mechanoluminescence process is crucial for elucidating its complex luminescence mechanism. This review aims to emphasize the fundamental role of defects in mechanoluminescence, which offers an ...
Wenhao Li, Sheng Wu, Jing Ren, Puxian Xiong   +3 more
wiley   +1 more source

Bridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts

Advanced Functional Materials, EarlyView.
Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.
Yuhang Wang, Zelin Wu, Yingfang Jiang, Di Zhang, Qiang Wang, Congwei Wang, Huihui Li, Xue Jia, Jun Fan, Hao Li   +9 more
wiley   +1 more source