Publications (13)
Stochastic thermodynamic engines under time-varying temperature profile
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei +2
In the present paper, we study the power output and efficiency of overdamped stochastic thermodynamic engines that are in contact with a heat bath having a temperature that varies…
The Impact of Modern AI in Metadata Management
Wenli Yang, Rui Fu, Muhammad Bilal Amin +1
Metadata management plays a critical role in data governance, resource discovery, and decision-making in the data-driven era. While traditional metadata approaches have primarily f…
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng, Marc Bocquet, Weiping Ding +20
Unstructured grid data are essential for modelling complex geometries and dynamics in computational physics. Yet, their inherent irregularity presents significant challenges for co…
Harvesting energy from a periodic heat bath
Rui Fu, Olga Movilla Miangolarra, Amirhossein Taghvaei +2
The context of the present paper is stochastic thermodynamics - an approach to nonequilibrium thermodynamics rooted within the broader framework of stochastic control. In contrast…
Maximal power output of a stochastic thermodynamic engine
Rui Fu, Amirhossein Taghvaei, Yongxin Chen +1
Classical thermodynamics aimed to quantify the efficiency of thermodynamic engines by bounding the maximal amount of mechanical energy produced compared to the amount of heat requi…
Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers
Peng Cheng, Xiang Lian, Zhao Chen +4
With the rapid development of mobile devices and the crowdsourcig platforms, the spatial crowdsourcing has attracted much attention from the database community, specifically, spati…
DeepTrend: A Deep Hierarchical Neural Network for Traffic Flow Prediction
Xingyuan Dai, Rui Fu, Yilun Lin +2
In this paper, we consider the temporal pattern in traffic flow time series, and implement a deep learning model for traffic flow prediction. Detrending based methods decompose ori…
RIS-based IMT-2030 Testbed for MmWave Multi-stream Ultra-massive MIMO Communications
Shuhao Zeng, Boya Di, Hongliang Zhang +13
As one enabling technique of the future sixth generation (6G) network, ultra-massive multiple-input-multiple-output (MIMO) can support high-speed data transmissions and cell covera…
Underdamped stochastic thermodynamic engines in contact with a heat bath with arbitrary temperature profile
Olga Movilla Miangolarra, Rui Fu, Amirhossein Taghvaei +2
We study thermodynamic processes in contact with a heat bath that may have an arbitrary time-varying periodic temperature profile. Within the framework of stochastic thermodynamics…
Energy harvesting from anisotropic fluctuations
Olga Movilla Miangolarra, Amirhossein Taghvaei, Rui Fu +2
We consider a rudimentary model for a heat engine, known as the Brownian gyrator, that consists of an overdamped system with two degrees of freedom in an anisotropic temperature fi…
On the relation between information and power in stochastic thermodynamic engines
Amirhossein Taghvaei, Olga Movilla Miangolarra, Rui Fu +2
The common saying, that information is power, takes a rigorous form in stochastic thermodynamics, where a quantitative equivalence between the two helps explain the paradox of Maxw…
Solving High-dimensional Parametric Elliptic Equation Using Tensor Neural Network
Hongtao Chen, Rui Fu, Yifan Wang +1
In this paper, we introduce a tensor neural network based machine learning method for solving the elliptic partial differential equations with random coefficients in a bounded phys…
Stability Theory of Stochastic Models in Opinion Dynamics
Zahra Askarzadeh, Rui Fu, Abhishek Halder +2
We consider a certain class of nonlinear maps that preserve the probability simplex, i.e., stochastic maps, that are inspired by the DeGroot-Friedkin model of belief/opinion propag…