Publications (27)
Two-relaxation-time regularized lattice Boltzmann model for Navier-Stokes equations
Yuan Yu, Zuojian Qin, Siwei Chen +2
In this paper, we propose a novel two-relaxation-time regularized lattice Boltzmann (TRT-RLB) model for simulating weakly compressible isothermal flows. A free relaxation parameter…
Thermocapillary migration of a self-rewetting droplet on an inclined surface: A phase-field simulation
He Yan, Lei Wang, Jiangxu Huang +1
In this paper, we investigated the thermocapillary migration of a self-rewetting droplet on an inclined surface using a phase field based lattice Boltzmann method. Unlike the norma…
An optical all-pass filter realized by using self-compensation of loss
Lu Xu, Yuan Yu, Xiaolong Liu +2
Filters are key devices in optical systems and are usually applied to signal suppression or selection based on their amplitude frequency responses. Different from amplitude filteri…
Dynamic Control Flow in Large-Scale Machine Learning
Yuan Yu, MartÃn Abadi, Paul Barham +12
Many recent machine learning models rely on fine-grained dynamic control flow for training and inference. In particular, models based on recurrent neural networks and on reinforcem…
Smooth-Curvature Bend Design Guided by Variational Analysis for Adiabatic Multimode Integrated Photonics
Yutong Shi, Shijin Yu, Ye Huang +2
The paper presents a design method for multimode waveguide bends that uses a smooth, infinitely differentiable curvature profile to minimize loss and intermodal coupling, demonstra…
Two-relaxation-time regularized lattice Boltzmann model for convection-diffusion equation with variable coefficients
Yuan Yu, Zuojian Qin, Haizhuan Yuan +1
In this paper, a new two-relaxation-time regularized (TRT-R) lattice Boltzmann (LB) model for convection-diffusion equation (CDE) with variable coefficients is proposed. Within thi…
Dynamic doping and Cottrell atmosphere optimize the thermoelectric performance of n-type PbTe
Yuan Yu, Chongjian Zhou, Xiangzhao Zhang +9
High thermoelectric energy conversion efficiency requires a large figure-of-merit, zT, over a broad temperature range. To achieve this, we optimize the carrier concentrations of n-…
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
MartÃn Abadi, Ashish Agarwal, Paul Barham +37
TensorFlow is an interface for expressing machine learning algorithms, and an implementation for executing such algorithms. A computation expressed using TensorFlow can be executed…
A fluctuating lattice Boltzmann method for viscoelastic fluid flows
Juanyong Wang, Xinyue Liu, Lei Wang +2
This study introduces a novel fluctuating lattice Boltzmann (LB) method for simulating viscoelastic fluid flows governed by the Oldroyd-B model. In contrast to conventional LB appr…
An improved lattice Boltzmann method with a novel conservative boundary scheme for viscoelastic fluid flows
Yuan Yu, Siwei Chen, Lei Wang +2
The high Weissenberg number problem has been a persistent challenge in the numerical simulation of viscoelastic fluid flows. This paper presents an improved lattice Boltzmann metho…
Structural and electrical properties of fiber textured and epitaxial molybdenum thin films prepared by magnetron sputter epitaxy
Balasubramanian Sundarapandian, Mohit Raghuwanshi, Patrik StraÅák +5
Molybdenum (Mo) due to its optimal structural, physical, and acoustic properties find application as electrode material in aluminum scandium nitride (AlScN) and aluminum nitride (A…
A versatile lattice Boltzmann model for immiscible ternary fluid flows
Yuan Yu, Haihu Liu, Dong Liang +1
We propose a lattice Boltzmann color-gradient model for immiscible ternary fluid flows, which is applicable to the fluids with a full range of interfacial tensions, especially in n…
Purified Two-Relaxation-Time Lattice Boltzmann Method: Removing Ghost Modes from TRT for Enhanced Stability
Yuan Yu, Yaolong Yu, Yuting Zhou +3
The two-relaxation-time (TRT) lattice Boltzmann model is widely adopted for its simplicity and tunable boundary accuracy. However, its collision operator relaxes the full symmetric…
Static compliance and directional instability in indefinite conformation states
Yuan Yu
A conformation tensor is positive definite for every physically realizable polymer microstructural state. Numerical discretization can move the conformation tensor outside the posi…
Widely tunable optoelectronic oscillator based on selective parity-time-symmetry breaking
Haitao Tang, Yuan Yu, Xinliang Zhang
This manuscript was retracted after discussions among the authors.
TensorFlow: A system for large-scale machine learning
MartÃn Abadi, Paul Barham, Jianmin Chen +19
TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and…
Machine learning-enabled tomographic imaging of chemical short-range atomic ordering
Yue Li, Timoteo Colnaghi, Yilun Gong +13
In solids, chemical short-range order (CSRO) refers to the self-organisation of atoms of certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a…
Towards establishing best practice in the analysis of hydrogen and deuterium by atom probe tomography
Baptiste Gault, Aparna Saksena, Xavier Sauvage +42
As hydrogen is touted as a key player in the decarbonization of modern society, it is critical to enable quantitative H analysis at high spatial resolution, if possible at the atom…
Intelligent Configuration of Integrated Microwave Photonic Filter Featuring Self-Stabilization and Programmable Response
Yutong Shi, Yuan Yu, Yifan Liu +5
Integrated microwave photonic filters (IMPFs) emerge as promising candidates for advanced microwave systems owing to their distinctive combination of wide operational bandwidth, fl…
Lattice Boltzmann simulation of viscous fingering of immiscible displacement in a channel using an improved wetting scheme
Yuan Yu, Haihu Liu, Yonghao Zhang +1
An improved wetting boundary implementation strategy is proposed based on lattice Boltzmann color-gradient model in this paper. In this strategy, an extra interface force condition…
Loss of positive definiteness is a symptom, not the cause, of high-Weissenberg-number breakdown
Yuan Yu, Lanjin Lian, Feiyang Chu
Numerical breakdown at high Weissenberg number is often attributed to loss of symmetric positive definiteness (SPD) of the conformation tensor. That conclusion follows from Maxwell…
Lattice Boltzmann simulation reveals supercritical bifurcation in flow mode transitions of power-law fluids in the four-roll mill
Yuan Yu, Xiao Jiang, Qingqing Gu +3
The four-roll mill has been traditionally viewed as a device generating simple extensional flow with a central stagnation point. Our systematic investigation using a two-relaxation…
Dopant-segregation to grain boundaries controls electrical conductivity of n-type NbCo(Pt)Sn half-Heusler alloy mediating thermoelectric performance
Ting Luo, Federico Serrano-Sánchez, Hanna Bishara +12
Science-driven design of future thermoelectric materials requires a deep understanding of the fundamental relationships between microstructure and transport properties. Grain bound…
Time-marching representation based quantum algorithms for the Lattice Boltzmann model of the advection-diffusion equation
Yuan He, Yuan Yu, Yue Yu
This article introduces a novel framework for developing quantum algorithms for the Lattice Boltzmann Method (LBM) applied to the advection-diffusion equation. We formulate the col…
Atom probe tomography: a local probe for chemical bonds in solids
Oana Cojocaru-Mirédin, Yuan Yu, Jan Köttgen +5
Atom probe tomography is frequently employed to characterize the elemental distribution in solids with atomic resolution. Here we review and discuss the potential of this technique…
Solid-state Janus nanoprecipitation enables amorphous-like heat conduction in crystalline Mg3Sb2-based thermoelectric materials
Rui Shu, Zhijia Han, Anna Elsukova +12
Solid-state precipitation can be used to tailor materials properties, ranging from ferromagnets and catalysts to mechanical strengthening and energy storage. Thermoelectric propert…
Extending Relational Query Processing with ML Inference
Konstantinos Karanasos, Matteo Interlandi, Doris Xin +10
The broadening adoption of machine learning in the enterprise is increasing the pressure for strict governance and cost-effective performance, in particular for the common and cons…