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| 1 | Entransy and entropy revisited显示文摘Entransy, a recently developed concept, is the central physical quantity characterizing heat transfer processes not related to heat-to-work conversions. The entransy of an object pertains to the nature of the potential energy of heat in a thermal field and describes its heat transfer ability. In the present study, we revisit this concept, and develop its relationship to state and process quantities. This then enables a direct comparison to the more familiar concept, entropy, the central physical quantity in thermody- namics. The comparison helps to identify the role entransy has in heat transfer processes and highlight under what conditions state and process quantities related to entransy can be distinguished in such processes. As to embody the entransy loss due to work expended between the system and its environment for the irreversible heat conduction in gases, new quantities, available entransy flow and available system entransy are introduced. Both the entransy of solids and the available system entransy of gases are state quantities and their changes correspond to the entransy flow and the available entransy flow respectively. Thus there is no need to stress the difference between process quantity and state quantity in heat transfer. | HU GuoJie CAO BingYang GUO ZengYuan | 2011 | Chinese Science Bulletin2011，56，27： | 13 |
| 2 | EXPERIMENTAL STUDY OF ENHANCED HEAT TRANSFER BY FLOW-INDUCED VIBRATION OF ELASTIC TUBE BUNDLES显示文摘A new concept of heat t ransfer enhancement by flow-induced vibration was put forward, and a novel heat transfer element called elastic tube bundles was designed. The experimental inv estigation was performed on its characteristics of flow-induced virbration in o ut-tube or in-tube flow. Under the conditions of fixed heat flux and steam-wa ter heat transfer, the regularity of heat transfer enhancement by flow-induced vibration was examined. | Tian, Maocheng Cheng, Fei Cheng, Lin Cao, Bingyang | 2000 | Journal of Hydrodynamics2000，12，3： | 4 |
| 3 | Study on thermal wave based on the thermal mass theory显示文摘The conservation equations for heat conduction are established based on the concept of thermal mass.We obtain a general heat conduction law which takes into account the spatial and temporal inertia of thermal mass.The general law introduces a damped thermal wave equation.It reduces to the well-known CV model when the spatial inertia of heat flux and temperature and the temporal inertia of temperature are neglected,which indicates that the CV model only considers the temporal inertia of heat flux.Numerical simulations on the propagation and superposition of thermal waves show that for small thermal perturbation the CV model agrees with the thermal wave equation based on the thermal mass theory.For larger thermal perturbation,however,the physically impossible phenomenon pre-dicted by CV model,i.e.the negative temperature induced by the thermal wave superposition,is eliminated by the general heat conduction law,which demonstrates that the present heat conduction law based on the thermal mass theory is more reasonable. | HU RuiFeng CAO BingYang | 2009 | Science China(Technological Sciences)2009，52，6： | 3 |
| 4 | Equation of Motion of a Phonon Gas and Non-Fourier Heat Conduction 显示文摘 | CAO Bingyang GUO Zengyuan | 2007 | Jour- nal of Applied Physics2007，102，05： | 1 |
| 5 | Equation of Motion of a Phonon Gas and Non-Fourier Heat Conduction 显示文摘 | CAO Bingyang GUO Zengyuan | 2007 | J Appl Phys2007，102，05： | 1 |
| 6 | Effect of surface roughness on gas flow in microchannels by molecular dynamics simulation 显示文摘 | Cao Bingyang Chen Min Guo Zengyuan | 2006 | International Journal of Engineering Science2006，44，1314： | 1 |
| 7 | Effect of Surface Roughness on Gas Flow in Microchannels by Molecular Dynamics Simulation 显示文摘 | CAO Bingyang CHEN Min GUO Zengyuan | 2006 | International Journal of Engineering Science2006，44，92： | 1 |
| 8 | Experimental study on the in-plane thermal conductivity of Au nanofilms显示文摘在里面飞机有 23 nm 的厚度的 Au nanofilms 的热电导率,它被电子制作横梁物理的蒸汽免职方法和一种暂停技术,被一个一个维的不变的电的加热方法试验性地在 80-300 K 测量。强壮的尺寸效果在热电导率多是的测量 nanofilm 上被发现不到体积材料的。与增加的温度,热电导率增加的 nanofilm。这对体积性质的温度依赖相反。Au nanofilms 的 Lorenz 数字与增加的温度比体积价值和减少大大约三倍,它为金属性的 nanaofilms 显示 Wiedmann-Franz 法律的无效力。 | CAO Bingyang ZHANG Qingguang ZHANG Xing TAKAHASHI Koji IKUTA Tatsuya QIAO Wenming FUJII Motoo | 2007 | Progress in Natural Science:Materials International2007，17，2： | 0 |
| 9 | Thermal smart materials with tunable thermal conductivity:Mechanisms, materials, and applications显示文摘The demand for active and effective management of heat transfer is increasing in various modern application scenarios. The thermal conductivity of materials plays a key role in thermal management systems, and reversibly tunable thermal properties are one of the fundamental needs for materials. Thermal smart materials, whose thermal properties can be tuned with an external trigger, have attracted the attention of researchers. In this paper, we provide a brief review of current research advances in thermal smart materials in recent years in terms of fundamental physical mechanisms, thermal switching ratios, and their application value. We focus on typical thermal smart materials such as nanoparticle suspensions, phase change materials, polymers, layered materials tuned by electrochemistry and other materials tuned by a specific external field. After surveying the fundamental mechanisms, we present applications of thermal smart components and devices in temperature control, thermal circuits, phonon computers, thermal metamaterials, and so on. Finally, we discuss the limitations and challenges of thermal smart materials, as well as our predictions for future development. | ZiTong Zhang BingYang Cao | 2022 | Science China(Physics,Mechanics & Astronomy)2022，65，11： | 0 |
| 10 | Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table显示文摘Existing machine learning potentials for predicting phonon properties of crystals are typically limited on a material-to-materialbasis, primarily due to the exponential scaling of model complexity with the number of atomic species. We address this bottleneckwith the developed Elemental Spatial Density Neural Network Force Field, namely Elemental-SDNNFF. The effectiveness andprecision of our Elemental-SDNNFF approach are demonstrated on 11,866 full, half, and quaternary Heusler structures spanning 55elements in the periodic table by prediction of complete phonon properties. Self-improvement schemes including active learningand data augmentation techniques provide an abundant 9.4 million atomic data for training. Deep insight into predicted ultralowlattice thermal conductivity (<1 Wm^(−1) K^(−1)) of 774 Heusler structures is gained by p–d orbital hybridization analysis. Additionally, aclass of two-band charge-2 Weyl points, referred to as “double Weyl points”, are found in 68% and 87% of 1662 half and 1550quaternary Heuslers, respectively. | Alejandro Rodriguez Changpeng Lin Hongao Yang Mohammed Al-Fahdi Chen Shen Kamal Choudhary Yong Zhao Jianjun Hu Bingyang Cao Hongbin Zhang Ming Hu | 2023 | npj Computational Materials2023，，1： | 0 |
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