Results 41 to 50 of about 14,170,078 (259)

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

open access: yesAdvanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall   +4 more
wiley   +1 more source

Hopping‐Mediated Zero‐Bias Photocharge Retention in Solution‐Processed Van Der Waals Heterostructures

open access: yesAdvanced Functional Materials, EarlyView.
Liquid–liquid interface assembly enables the fabrication of solution‐processed MoS2 and WSe2 centimeter‐scale, nanometer‐thick type‐II heterostructures on paper. Interfacial charge separation and hopping‐limited recombination produce rectification and persistent photocharge retention at zero bias.
Aniello Pelella   +11 more
wiley   +1 more source

Evaluation of Fiscal Policy for Economy of Iran in a Dynamic Stochastic General Equilibrium Model based on Real Business Cycles [PDF]

open access: yesFaslnāmah-i Pizhūhish/Nāmah-i Iqtisādī, 2014
In this paper by using a dynamic stochastic general equilibrium model we study how macroeconomic variables are affected by different shocks using fiscal reaction functions for Iran’s economy.
Meysam Rafei   +2 more
doaj  

Assessment of the parameters of dynamic stochastic general equilibrium model of Kazakhstan economy using Bayesian estimation

open access: yesВестник Пермского университета: Серия Экономика, 2019
The transition of central banks to the inflation targeting policy has increased the importance to apply dynamic stochastic general equilibrium models (DSGE-models) for the assessment of social and economic effects of decisions, and to justify their ...
Dmitriy Nikolaevich Shults   +1 more
doaj   +1 more source

Mechanistic Origins of Chemo‐Mechanical Instability and Failure in Solid‐State Lithium‐Sulfur Electrodes

open access: yesAdvanced Functional Materials, EarlyView.
Conversion‐induced sulfur expansion generates strong mechanical constraints and localized stresses within solid‐state Li‐S cathodes. Heterogeneous solid‐electrolyte confinement creates tensile strain‐energy hotspots that govern particle cracking. Larger sulfur particles accelerate fracture, while higher porosity relaxes constraint and delays damage ...
Arpan K. Sharma   +3 more
wiley   +1 more source

Sequential action and beliefs under partially observable DSGE environments [PDF]

open access: yes, 2011
This paper introduces a classification of DSGEs from a Markovian perspective, and positions the class of POMDP (Partially Observable Markov Decision Process) to the center of a generalization of linear rational expectations models.
Kim, Seong-Hoon
core   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

open access: yesAdvanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh   +2 more
wiley   +1 more source

Solving Monetary (MIU) models with Linearized Euler Equations: Method of Undetermined Coefficients [PDF]

open access: yesInternational Journal of Research in Industrial Engineering, 2017
This paper attempts to solve a benchmark money in utility model by first order Taylor approximation to the policy function. After a brief summary of recent development in first order Taylor approximation in solving dynamic stochastic general equilibrium ...
S.F. Fakhrehosseini, Meysam kaviani
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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