{"id":29,"date":"2020-11-10T01:18:49","date_gmt":"2020-11-10T01:18:49","guid":{"rendered":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/?page_id=29"},"modified":"2020-12-03T11:13:07","modified_gmt":"2020-12-03T11:13:07","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.gc.sjtu.edu.cn\/ccem\/publications\/","title":{"rendered":"\u8bba\u6587\u53d1\u8868"},"content":{"rendered":"

A<\/strong>\u3001\u591a\u5c3a\u5ea6\u591a\u7269\u7406\u573a\u6a21\u62df<\/strong><\/p>\n

[1]\u00a0 \u00a0 Xu Zhang , Ran Yi, C P Chen*. Development of a multi-phase flamelet generated manifold for spray combustion simulation. Proceedings of the ASME 2020, Turbomachinery Technical Conference and Exposition. June 22 \u2013 26, 2020, London, England, UK.<\/p>\n

[2] \u00a0 Y. Liu, C. Cheng, V. Ziaei-Rad, Y. Shen*. A micromechanics-informed phase field model for brittle fracture accounting for the unilateral constraint. Engineering Fracture Mechanics. Accepted. (link<\/a>)<\/p>\n

[3] \u00a0 Y. Wang, Tom\u00e1\u0161 \u0160ikola and Miroslav Kol\u00edbal, Collector Droplet Behavior during Formation of Nanowire Junctions, J. Phys. Chem. Lett., 11, 6498-6504 (2020).<\/p>\n

[4] \u00a0 Wenwei Wu, Enrico Calzavarini, Fran\u00e7ois G. Schmitt, Lipo Wang, Fluctuations and correlations of reactive scalars near chemical equilibrium in incompressible turbulen, PHYSICAL REVIEW FLUIDS 5, 084608 (2020)<\/p>\n

[5] \u00a0 Shouhang Li, Ao Wang, Yue Hu, Xiaokun Gu, Zhen Tong, Hua Bao*\uff0cAnomalous thermal transport in metallic transition-metal nitrides originated from strong electron-phonon interactions,\u00a0Materials Today Physics, 100256, 2020<\/p>\n

[6] \u00a0 Yue Hu#, Tianli Feng#, Xiaokun Gu, Zheyong Fan, Xuefeng Wang, Mark Lundstrom, Som S. Shretha, Hua Bao*,\u00a0Unification of nonequilibrium molecular dynamics and the mode-resolved phonon Boltzmann equation for thermal transport simulations,\u00a0Physical Review B, 101, 155308, 2020<\/p>\n

[7] \u00a0 Ran Yi, Xu Zhang, Tao Yang, C P Chen*. Spray Flamelet Modeling of Kerosene Spray Combustion. AIAA Propulsion and Energy 2019 Forum. Indianapolis, IN, August 19-22, 2019.<\/p>\n

[8] \u00a0 Ran Yi, Xiang Chen, C P Chen. Surrogate for emulating physicochemical and kinetics characteristics of RP-3 aviation fuel. Energy & fuels, 2019.<\/p>\n

[9] \u00a0 Y. Wang, A. C. Meng, P. C. McIntyre and W. Cai, Phase-Field Investigation of the Stages in Radial Growth of Core-Shell Ge\/Ge1-x<\/sub>Snx<\/sub> Nanowires, Nanoscale, 11, 21974-21980 (2019)<\/p>\n

[10] \u00a0 M. Gauding, Lipo Wang, J.H. Goebbert, M. ZBode, L. Danaila, E. Varea, On the self-similarity of line segments in decaying homogeneous isotropic turbulence, Computers and Fluids, 180, 206-217 (2019).<\/p>\n

[11] \u00a0 Y. Wang, P. Woytowitz, D. Mui and W. Cai, Stability of Nano-Fin Arrays Against Collapse Predicted by Phase Field Modeling, J. Vac. Sci. Technol. B, 36(5), 051602 (2018).<\/p>\n

[12] \u00a0 Peipei Zhao, Lipo Wang*, Nilanjan Chakraborty, Analysis of the flame-wall interaction in premixed turbulent combustion, J. Fluid Mech. 2018(848), pp. 193_218. 2018<\/p>\n

[13] \u00a0 Hua Bao*, Jie Chen*, Xiaokun Gu*, Bingyang Cao*, A Review of Simulation Methods for Micro\/Nanoscale Heat Conduction,\u00a0ES Energy & Environment, 1, 16-55, 2018<\/p>\n

[14] \u00a0 Lipo Wang, Analysis of the filtered non-premixed turbulent flame, Combustion and Flame 175: 259-269 (2017)<\/p>\n

[15] \u00a0 Wang, G., Yang, F., Wei Zhao, Chen, C. P., \u201cDirect observation of scalar turbulence in microfluidics at low Reynolds number,\u201d Lab on a Chip, Vol. 16, 1030-1038. 2016.<\/p>\n

[16] \u00a0 Hung, S. W., Shiao, P. Y., Chen, C. P. and Chieng, C. C., \u201cWettability of Graphene-coated Surface: Free Energy Investigations using Molecular Dynamics Simulation\u201d,\u00a0 J. Physical Chem, C, Vol. 119, 8103-8111, 2015.<\/p>\n

[17] \u00a0 Brumback, T. E. and Chen, C. P., \u201cHybrid Modeling of Homogeneous Gas-Phase Reaction,\u201d Monte Carlo Methods and Applications, Vol. 17, pp. 99-116. 2011.<\/p>\n

B<\/strong>\u3001\u57fa\u4e8e\u9ad8\u901a\u91cf\u8ba1\u7b97\u6a21\u62df\u53ca\u6570\u636e\u6316\u6398\u7684\u65b0\u6750\u6599\u8bbe\u8ba1<\/strong><\/p>\n

[1] \u00a0 Y. Liu, K. Weng, Y. Shen*. A Manifold Learning Approach to Accelerate Phase Field Fracture Simulations in the Representative Volume Element. SN Applied Sciences. (link<\/a>)<\/p>\n

[2] \u00a0 Y. Wang, T. Xie, A. France-Lanord, A. Berkley, J. A. Johnson, Y. Shao-Horn and J. C. Grossman, Toward Designing Highly Conductive Polymer Electrolytes by Machine Learning Assisted Coarse-Grained Molecular Dynamics, Chem. Mater., 32(10), 4144-4151 (2020).<\/p>\n

[3] \u00a0 Xu, Z.; Zhu, H. Anion Charge and Lattice Volume Maps for Searching Lithium Superionic Conductors. Chem. Mater. 2020, 32 (11), 4618\u20134626.<\/p>\n

[4] \u00a0 Han Wei, Hua Bao*, Xiulin Ruan*\uff0cMachine learning prediction of thermal transport in porous media with physics-based descriptors\uff0cInternational Journal of Heat and Mass Transfer, 160, 120176\uff0c2020<\/p>\n

[5] \u00a0 Han Wei, Hua Bao*, Xiulin Ruan*,Genetic algorithm-driven discovery of unexpected thermal conductivity enhancement by disorder.\u00a0Nano Energy, 71, 104619, 2020<\/p>\n

[6] \u00a0 Xu, Z.; Chen, X.; Liu, K.; Chen, R.; Zeng, X.; Zhu, H. Influence of Anion Charge on Li Ion Diffusion in a New Solid-State Electrolyte, Li3LaI6.\u00a0Chemistry of Materials\u00a02019.<\/p>\n

[7] \u00a0 Luo, Z.; Zhu, H.; Ying, T.; Li, D.; Zeng, X. First Principles Calculations on the Influence of Solute Elements and Chlorine Adsorption on the Anodic Corrosion Behavior of Mg (0001) Surface. Surface Science 2018, 672\u2013673, 68\u201374.<\/p>\n

[8] \u00a0 Han Wei, Shuaishuai Zhao, Qingyuan Rong, and Hua Bao*,\u00a0Predicting the effective thermal conductivities of composite materials and porous media by machine learning methods,\u00a0Int. J. Heat Mass Transfer,\u00a0127, 908-916, 2018<\/p>\n

[9] \u00a0 Zhu, H.; Hautier, G.; Aydemir, U.; Gibbs, Z. M.; Li, G.; Bajaj, S.; P\u00f6hls, J.-H.; Broberg, D.; Chen, W.; Jain, A.; White, M. A.; Asta, M.; Snyder, G. J.; Persson, K.; Ceder, G. Computational and Experimental Investigation of TmAgTe2 and XYZ2 Compounds, a New Group of Thermoelectric Materials Identified by First-Principles High-Throughput Screening. J. Mater. Chem. C 2015, 3 (40), 10554\u201310565.<\/p>\n

C<\/strong>\u3001<\/strong>Electronic design automation and digital design for computation-demanding applications<\/strong><\/p>\n

[1]\u00a0 \u00a0 Y. Wu and W. Qian, \u201cALFANS: Multi-level approximate logic synthesis framework by approximate node simplification,\u201d in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 39, no. 7, pp. 1470-1483, 2020.<\/p>\n

[2] \u00a0 C. Wang, W. Xiao, J. Hayes, and W. Qian, \u201cExploring target function approximation for stochastic circuit minimization,\u201d in Proceedings of the 2020 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD), virtual event, 2020. (acceptance rate: 27.0%)<\/p>\n

[3] \u00a0 C. Meng, W. Qian, and A. Mishchenko, \u201cALSRAC: approximate logic synthesis by resubstitution with approximate care set,\u201d in Proceedings of the 2020 Design Automation Conference (DAC), virtual event, 2020. (acceptance rate: 23.2%)<\/p>\n

[4] \u00a0 C. Ma, Y. Sun, W. Qian, Z. Meng, R. Yang, and L. Jiang, \u201cGo unary: a novel synapse coding and mapping scheme for reliable ReRAM-based neuromorphic computing,\u201d in Proceedings of the 2020 Design, Automation, and Test in Europe Conference (DATE), virtual event, 2020. (acceptance rate: 25.9%)<\/p>\n

[5] \u00a0 Z. Li, Z. Chen, Y. Zhang, Z. Huang, and W. Qian, \u201cSimultaneous area and latency optimization for stochastic circuits by D flip-flop insertion,\u201d in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 38, no. 7, pp. 1251-1264, 2019.<\/p>\n

[6] \u00a0 Y. Wu, Y. Li, X. Ge, Y. Gao, and W. Qian, \u201cAn efficient method for calculating the error statistics of block-based approximate adders,\u201d in IEEE Transactions on Computers, vol. 68, no. 1, pp. 21-38, 2019.<\/p>\n

[7] \u00a0 X. Peng and W. Qian, \u201cStochastic circuit synthesis by cube assignment,\u201d in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 37, no. 12, pp. 3109-3122, 2018.<\/p>\n

[8] \u00a0 Z. Zhou, Y. Yao, S. Huang, S. Su, C. Men, and W. Qian, \u201cDALS: Delay-driven approximate logic synthesis,\u201d in Proceedings of the 2018 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD), San Diego, CA, USA, 2018, pp. 86:1-86:7. (acceptance rate: 24.7%)<\/p>\n

[9] \u00a0\u00a0Su, Y. Wu, and W. Qian, \u201cEfficient batch statistical error estimation for iterative multi-level approximate logic synthesis,\u201d in Proceedings of the 2018 ACM\/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, 2018, pp. 54:1-54:6. (acceptance rate: 24.3%)<\/span><\/p>\n

[10] \u00a0 M. Yang, J. Hayes, D. Fan, and W. Qian, \u201cDesign of accurate stochastic number generators with noisy emerging devices for stochastic computing,\u201d in Proceedings of the 2017 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD), Irvine, CA, USA, 2017, pp. 638-644. (acceptance rate: 26.3%)<\/p>\n

[11] \u00a0 Y. Wu and W. Qian, \u201cAn efficient method for multi-level approximate logic synthesis under error rate constraint\u201d, in Proceedings of the 2016 ACM\/IEEE Design Automation Conference (DAC), Austin, TX, USA, 2016, pp. 128:1-128:6. (acceptance rate: 22.6%)<\/p>\n

[12] \u00a0 Z. Zhao and W. Qian, \u201cA general design of stochastic circuit and its synthesis,\u201d in Proceedings of the 2015 Design, Automation, and Test in Europe Conference (DATE), Grenoble, France, 2015, pp. 1467-1472. (acceptance rate: 22.4%)<\/p>\n

[13] \u00a0 J. Hu and W. Qian, \u201cA new approximate adder with low relative error and correct sign calculation,\u201d in Proceedings of the 2015 Design, Automation, and Test in Europe Conference (DATE), Grenoble, France, 2015, pp. 1449-1454. (acceptance rate: 22.4%)<\/p>\n

[14] \u00a0 W. Qian, M. D. Riedel, K. Bazargan, and D. J. Lilja, \u201cThe synthesis of combinational logic to generate probabilities,\u201d in Proceedings of the 2009 IEEE\/ACM International Conference on Computer-Aided Design (ICCAD), San Jose, CA, USA, 2009, pp. 367-374. (acceptance rate: 26.3%)<\/span><\/p>\n

[15] \u00a0 W. Qian, X. Li, M. D. Riedel, K. Bazargan, and D. J. Lilja, \u201cAn architecture for fault-tolerant computation with stochastic logic,\u201d in IEEE Transactions on Computers, vol. 60, no. 1, pp. 93-105, 2011.<\/p>\n

[16] \u00a0 W. Qian and M. D. Riedel, \u201cThe synthesis of robust polynomial arithmetic with stochastic logic,\u201d in Proceedings of the 45th ACM\/IEEE Design Automation Conference (DAC), Anaheim, CA, USA, 2008, pp. 648-653. (acceptance rate: 23.0%)<\/p>\n","protected":false},"excerpt":{"rendered":"

A\u3001\u591a\u5c3a\u5ea6\u591a\u7269\u7406\u573a\u6a21\u62df [1]\u00a0 \u00a0 Xu Zhang , Ran Yi, C P Chen*. Development of a multi-phase flamelet generated manifold for spray combustion simulation. Proceedings of the ASME 2020, Turbomachinery Technical Conference and Exposition. June 22 \u2013 26, 2020, London, England, UK. [2] \u00a0 Y. Liu, C. Cheng, V. Ziaei-Rad, Y. Shen*. A micromechanics-informed phase field model …<\/p>\n

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