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YuanTong Gu

Bio: YuanTong Gu is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Finite element method & Meshfree methods. The author has an hindex of 52, co-authored 550 publications receiving 12583 citations. Previous affiliations of YuanTong Gu include Nanjing Medical University & National University of Singapore.


Papers
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Journal ArticleDOI
TL;DR: In this article, the effect of radiation on natural convection of Newtonian fluid contained in an open cavity is investigated, and the governing partial differential equations are solved numerically using the Alternate Direct Implicit method together with the Successive Overrelaxation method.
Abstract: The effect of radiation on natural convection of Newtonian fluid contained in an open cavity is investigated in this study. The governing partial differential equations are solved numerically using the Alternate Direct Implicit method together with the Successive Overrelaxation method. The study is focused on studying the flow pattern and the convective and radiative heat transfer rates are studied for different values of radiation parameters, namely, the optical thickness of the fluid, scattering albedo, and the Planck number. It was found that, in the optically thin limit, an increase in the optical thickness of the fluid raises the temperature and radiation heat transfer of the fluid. However, a further increase in the optical thickness decreases the radiative heat transfer rate due to increase in the energy level of the fluid, which ultimately reduces the total heat transfer rate within the fluid.

10 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate the mechanical properties of carbon nanothread (CN-NTH) through large-scale molecular dynamics simulations and provide a comprehensive understanding of the nanothreads' potential applications.
Abstract: Carbon nanothread (C-NTH) is a new ultrathin one-dimensional sp3 carbon nanostructure, which exhibits promising applications in novel carbon nanofibers and nanocomposites. Recently, researchers have successfully developed a new alternative structure - ultrathin carbon nitride nanothread (CN-NTH). In this work, we investigate the mechanical properties of CN-NTHs through large-scale molecular dynamics simulations. Comparing with their C-NTH counterparts, CN-NTHs are found to exhibit a higher tensile and bending stiffness. In particular, because of the bond redistribution, the CN-NTHs in the polymer I group and tube (3,0) group are found to possess a higher failure strain than their C-NTH counterparts. However, the CN-NTH in the polytwistane group has a smaller failure strain compared with the pristine C-NTH. According to the atomic configurations, the presence of nitrogen atoms always leads to stress/strain concentrations for the nanothreads under tensile deformation. This study provides a comprehensive understanding of the mechanical properties of CN-NTHs, which should shed light on their potential applications such as fibers or reinforcements for nanocomposites.

10 citations

Journal ArticleDOI
TL;DR: In this article, Liu et al. presented a mesh-free approach to model and simulate the deformations of plant tissue during drying by aggregating individual cells while accounting for the stiffness of the middle lamella.
Abstract: Plant tissue has a complex cellular structure which is an aggregate of individual cells bonded by middle lamella. During drying processes, plant tissue undergoes extreme deformations which are mainly driven by moisture removal and turgor loss. Numerical modelling of this problem becomes challenging when conventional grid-based modelling techniques such as finite element and finite difference methods are considered due to grid-based limitations. This work presents a meshfree approach to model and simulate the deformations of plant tissue during drying. This method demonstrates the fundamental capabilities of meshfree methods in handling extreme deformations of multiphase systems. A simplified two-dimensional tissue model is developed by aggregating individual cells while accounting for the stiffness of the middle lamella. Each individual cell is simply treated as consisting of two main components: cell fluid and cell wall. The cell fluid is modelled using smoothed particle hydrodynamics and the cell wall is modelled using a discrete element method. Drying is accounted for by the reduction of cell fluid and wall mass, and turgor pressure, which causes local deformations of cells, eventually leading to tissue scale shrinkage. The cellular deformations are quantified using several cellular geometrical parameters and a good agreement is observed when compared to experiments on apple tissue. The model is also capable of visually replicating dried tissue structures. The proposed model can be used as a step in developing complex tissue models to simulate extreme deformations during drying. References S. V. Jangam. An overview of recent developments and some RandD challenges related to drying of foods. Dry. Technol. , 29(12):1343–1357, 2011. doi:10.1080/07373937.2011.594378 L. Mayor and A. M. Sereno. Modelling shrinkage during convective drying of food materials: a review. J. Food Eng. , 61(3):373–386, 2004. doi:10.1016/s0260-8774(03)00144-4 M. S. Rahman, I. Al-Zakwani, and N. Guizani. Pore formation in apple during air-drying as a function of temperature: porosity and pore-size distribution. J. Sci. Food Agr. , 85(6):979–989, 2005. doi:10.1002/jsfa.2056 M. K. Bartlett, C. Scoffoni, and L. Sack. The determinants of leaf turgor loss point and prediction of drought tolerance of species and biomes: a global meta-analysis. Ecol. Lett. , 15(5):393–405, 2012. doi:10.1111/j.1461-0248.2012.01751.x L. Mayor, M. A. Silva, and A. M. Sereno. Microstructural changes during drying of apple slices. Dry. Technol. , 23(9–11):2261–2276, 2005. doi:10.1080/07373930500212776 G. H. Crapiste, S. Whitaker, and E. Rotstein. Drying of cellular material–-I. A mass transfer theory. Chem. Eng. Sci. , 43(11):2919–2928, 1988. doi:10.1016/0009-2509(88)80045-9 H. X. Zhu and J. R. Melrose. A mechanics model for the compression of plant and vegetative tissues. J. Theor. Biol. , 221(1):89–101, 2003. doi:10.1006/jtbi.2003.3173 C. X. Wang, L. Wang, and C. R. Thomas. Modelling the mechanical properties of single suspension-cultured tomato cells. Ann. Bot.-London , 93(4):443–453, 2004. doi:10.1093/aob/mch062 N. Wu and M. J. Pitts. Development and validation of a finite element model of an apple fruit cell. Postharvest Biol. Tec. , 16(1):1–8, 1999. doi:10.1016/S0925-5214(98)00095-7 G. R. Liu and M. B. Liu. Smoothed Particle Hydrodynamics: A Meshfree Particle Method . World Scientific Publishing Co., Singapore, 2003. http://www.worldscientific.com/worldscibooks/10.1142/5340 G. R. Liu and Y. T. Gu. An Introduction to Meshfree Methods and Their Programming . Springer, 2005. http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-1-4020-3228-8 Y. T. Gu and G. R. Liu. Hybrid boundary point interpolation methods and their coupling with the element free galerkin method. Eng. Anal. Bound. Elem. , 27(9):905–917, 2003. doi:10.1016/S0955-7997(03)00045-6 Y. Gu and L. C. Zhang. Coupling of the meshfree and finite element methods for determination of the crack tip fields. Eng. Fract. Mech. , 75:986–1004, 2008. doi:10.1016/j.engfracmech.2007.05.003 R. A. Gingold and J. J. Monaghan. Smoothed particle hydrodynamics - theory and application to non-spherical stars. Mon. Not. R. Astron. Soc. , 181:375–389, 1977. http://adsabs.harvard.edu/full/1977MNRAS.181..375G P. Van Liedekerke, P. Ghysels, E. Tijskens, G. Samaey, D. Roose, and H. Ramon. Mechanisms of soft cellular tissue bruising. a particle based simulation approach. Soft Matter , 7:3580–3591, 2011. doi:10.1039/C0SM01261K P. Van Liedekerke, P. Ghysels, E. Tijskens, G. Samaey, B. Smeedts, D. Roose, and H. Ramon. A particle-based model to simulate the micromechanics of single-plant parenchyma cells and aggregates. Phys. Biol. , 7:026006, 2010. doi:10.1088/1478-3975/7/2/026006 H. C. P. Karunasena, W. Senadeera, Y. T. Gu, and R. J. Brown. A particle based micromechanics model to simulate drying behaviors of vegetable cells. In Y. T. Gu, S. C. Saha, editor, 4th International Conference on Computational Methods (ICCM 2012) , Gold Coast, Australia, 25–28 November, 2012. http://eprints.qut.edu.au/55471/1/A_Particle_Based_Micromechanics_Model(ICCM_Gold_Coast).pdf H. C. P. Karunasena, W. Senadeera, Y. T. Gu, and R. J. Brown. A coupled SPH-DEM model for fluid and solid mechanics of apple parenchyma cells during drying. In P. A. Brandner, B. W. Pearce, editor, 18th Australasian Fluid Mechanics Conference , Launceston, Australia, 2012. http://eprints.qut.edu.au/55469/ H. C. P. Karunasena, W. Senadeera, Y. T. Gu, and R. J. Brown. A coupled SPH-DEM model for micro-scale structural deformations of plant cells during drying. Appl. Math. Model. , 2014. doi:10.1016/j.apm.2013.12.004 H. C. P. Karunasena, W. Senadeera, R. J. Brown, and Y. T. Gu. Simulation of plant cell shrinkage during drying - a SPH-DEM approach. Eng. Anal. Bound. Elem. , 44:1–18, 2014. doi:10.1016/j.enganabound.2014.04.004 H. C. P. Karunasena, P. Hesami, W. Senadeera, Y. T. Gu, R. J. Brown, and A. Oloyede. Scanning electron microscopic study of microstructure of gala apples during hot air drying. Dry. Technol. , 32(4):455–468, 2014. doi:10.1080/07373937.2013.837479 A. Stukowski. Visualization and analysis of atomistic simulation data with OVITO–-the open visualization tool. Model. Simul. Mater. Sc. , 18:015012, 2010. doi:10.1088/0965-0393/18/1/015012 P. W. Cleary and J. J. Monaghan. Conduction modelling using smoothed particle hydrodynamics. J. Comput. Phys. , 148(1):227–264, 1999. doi:10.1006/jcph.1998.6118 L. Taiz and E. Zeiger. Plant Physiology , chapter Water and Plant Cells, pages 73–84. Sinauer Associates, Sunderland, USA, 2010. H. C. P. Karunasena, W. Senadeera, R. J. Brown, and Y. T. Gu. A particle based model to simulate microscale morphological changes of plant tissues during drying. Soft Matter , 2014. doi:10.1039/C4SM00526K

10 citations

Journal ArticleDOI
TL;DR: In this paper, the particle swap optimization (PSO) method and first-principles calculations were used to predict the coexistence of single-direction auxeticity, anisotropic carrier mobility, and intrinsic ferroelasticity in 2D silver oxide (AgO).
Abstract: Two-dimensional (2D) materials integrated with anisotropy and ferroelasticity are highly desired for controllable polarization-sensitive devices and ferroelastic memorizers but are rarely reported. Herein, using the particle swap optimization (PSO) method and first-principles calculations, we theoretically predicted the coexistence of single-direction auxeticity, anisotropic carrier mobility, and intrinsic ferroelasticity in 2D silver oxide (AgO). Linear and square–planar Ag–O ligands align vertically in 2D AgO, leading to remarkable in-plane anisotropy. 2D AgO exhibits a large out-of-plane negative Poisson's ratio (NPR) of −0.47 which can only be triggered by the uniaxial strain along the y-direction. The electrons/holes favor the transport along the x-direction with mobilities of up to ∼6000/4000 cm2 V−1 s−1, which is around 10/17 times higher than that along the y-direction. Moreover, a strain-driven 90° lattice rotation is found in 2D AgO with a record high reversal strain of 107.6%. Such integration allows us to tune the direction of the anisotropic properties, and at the same time enables the efficient identification of the bi-stable states during the ferroelastic transition, thus promising the versatile applications of 2D AgO in controllable mechanic/electronic devices and non-volatile information storage.

10 citations

Journal ArticleDOI
15 May 2020-Talanta
TL;DR: Two novel polypeptide-based fluorescent probes for different biomarkers to cancers are reported here, which possessed the low cell cytotoxicity, good tumor-targeting property and fluorescent properties similar to rhodamine B.

10 citations


Cited by
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08 Dec 2001-BMJ
TL;DR: There is, I think, something ethereal about i —the square root of minus one, which seems an odd beast at that time—an intruder hovering on the edge of reality.
Abstract: There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality. Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

33,785 citations

01 May 1993
TL;DR: Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems.
Abstract: Three parallel algorithms for classical molecular dynamics are presented. The first assigns each processor a fixed subset of atoms; the second assigns each a fixed subset of inter-atomic forces to compute; the third assigns each a fixed spatial region. The algorithms are suitable for molecular dynamics models which can be difficult to parallelize efficiently—those with short-range forces where the neighbors of each atom change rapidly. They can be implemented on any distributed-memory parallel machine which allows for message-passing of data between independently executing processors. The algorithms are tested on a standard Lennard-Jones benchmark problem for system sizes ranging from 500 to 100,000,000 atoms on several parallel supercomputers--the nCUBE 2, Intel iPSC/860 and Paragon, and Cray T3D. Comparing the results to the fastest reported vectorized Cray Y-MP and C90 algorithm shows that the current generation of parallel machines is competitive with conventional vector supercomputers even for small problems. For large problems, the spatial algorithm achieves parallel efficiencies of 90% and a 1840-node Intel Paragon performs up to 165 faster than a single Cray C9O processor. Trade-offs between the three algorithms and guidelines for adapting them to more complex molecular dynamics simulations are also discussed.

29,323 citations

Journal ArticleDOI

6,278 citations

Journal ArticleDOI
TL;DR: A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales as mentioned in this paper, which contributes to real-time policy analysis and development as national and international policies and agreements are discussed.
Abstract: ▶ Addresses a wide range of timely environment, economic and energy topics ▶ A forum to review, analyze and stimulate the development, testing and implementation of mitigation and adaptation strategies at regional, national and global scales ▶ Contributes to real-time policy analysis and development as national and international policies and agreements are discussed and promulgated ▶ 94% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again

2,587 citations