Results 61 to 70 of about 156,184 (217)

Scanning Tunnelling Microscopy Study of Spin Interactions in Transition‐Metal Phthalocyanine Adsorbates: Mechanisms, Signatures, and Control Strategies

open access: yesAdvanced Science, EarlyView.
Transition‐metal phthalocyanine (TMPc) molecules serve as model systems for probing the spin interactions. This review summarizes recent scanning tunnelling microscopy advances on the spin‐related phenomena in TMPc adsorbates, including Kondo effect, spin excitations, and Yu–Shiba–Rusinov states, emphasizing the mechanisms and control strategies, and ...
Fudi Zhou   +6 more
wiley   +1 more source

Surface Engineering on Transition Metal Dichalcogenides: In Situ Encapsulation of Metal–Organic Frameworks for Highly Humidity‐Resistant Gas Sensing at Room Temperature

open access: yesAdvanced Science, EarlyView.
2D UiO‐66‐NH2/MoS2 was fabricated via an aqueous synthesis method to in situ encapsulation of MoS2 with 2D UiO‐66‐NH2 MOF. The humidity‐resistant NO2 sensing of 2D UiO‐66‐NH2/MoS2 at room temperature was accordingly enhanced by MOF encapsulation layer, along with the selectivity and stability.
Junwei Zeng   +5 more
wiley   +1 more source

Exact Schwinger Proper Time Renormalisation

open access: yesJournal of High Energy Physics
We derive an exact version of the Schwinger Proper Time Renormalisation Group flow equation from first principles from the complete path integral, without using any perturbative expansion.
Steven Abel, Lucien Heurtier
doaj   +1 more source

Renormalization group analysis for thermal turbulence

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1997
Renormalization group theory is applied to thermal turbulence. Turbulent fluxes for the flow are accounted for by repeatedly recasting the governing equations with the smallest scales represented by effective larger scales.
D. N. Riahi
doaj   +1 more source

From Renormalization Group Flows to Cosmology

open access: yesFrontiers in Physics, 2020
According to the asymptotic-safety conjecture, the gravitational renormalization group flow features an ultraviolet-attractive fixed point that makes the theory renormalizable and ultraviolet complete.
Alessia Platania
doaj   +1 more source

Numerical Renormalization Group at Criticality

open access: yes, 1996
We apply a recently developed numerical renormalization group, the corner-transfer-matrix renormalization group (CTMRG), to 2D classical lattice models at their critical temperatures.
Barber   +21 more
core   +1 more source

Twisted MoS2 Bilayers as Functional Elements in Memtransistors: Hysteresis, Optical Signatures, and Photocurrent Kinetics

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Layered 2D materials are considered as promising for memristive applications due to their ultimate vertical scalability compared to conventional semiconductor films and pronounced hysteresis properties. Bias‐resolved Raman and Photoluminescence mapping is used to quantify strain from phonon shifts and carrier density from the exciton‐trion ...
Vladislav Kurtash   +4 more
wiley   +1 more source

Sphere free energy of scalar field theories with cubic interactions

open access: yesJournal of High Energy Physics
The dimensional continuation approach to calculating the free energy of d-dimensional Euclidean CFT on the round sphere S d has been used to develop its 4 – ϵ expansion for a number of well-known non-supersymmetric theories, such as the O(N) model.
Simone Giombi   +4 more
doaj   +1 more source

Properties of Renormalization Group Transformations

open access: yes, 1997
We describe some properties of Renormalization Group transformations. Especially we show why some of the RG transformations have redundant eigenoperators with eigenvalues that cannot be determined by simple dimensional analysis and give the corresponding
Bell   +16 more
core   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu   +5 more
wiley   +1 more source

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