|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A large time step Godunov scheme for free-surface shallow water equations显示文摘An algorithm for simulating free surface flows is presented using large time step based on the wave-propagation method proposed by LeVeque,and an exact Riemann solver is used.A multiple wave approximation approach was suggested for eliminating the discontinuities found in the rarefaction fans of dam-breaking flows.In addition,we use the random choice method to reduce non-physical oscillations.Applications demonstrate that the algorithm proposed in this paper can considerably increase the CFL number up to 25when modeling dam-break flows,while retaining satisfactory accuracy and efficiency.This suggests that our algorithm has the potential to be applied to modeling free surface flows. | Renyi Xu Deyu Zhong Baosheng Wu Xudong Fu Runze Miao | 2014 | Chinese Science Bulletin2014，59，21： | 5 |
| 2 | ShadowGAN: Shadow synthesis for virtual objects with conditional adversarial networks显示文摘We introduce ShadowGAN, a generative adversarial network(GAN) for synthesizing shadows for virtual objects inserted in images. Given a target image containing several existing objects with shadows,and an input source object with a specified insertion position, the network generates a realistic shadow for the source object. The shadow is synthesized by a generator; using the proposed local adversarial and global adversarial discriminators, the synthetic shadow's appearance is locally realistic in shape, and globally consistent with other objects' shadows in terms of shadow direction and area. To overcome the lack of training data,we produced training samples based on public 3D models and rendering technology. Experimental results from a user study show that the synthetic shadowed results look natural and authentic. | Shuyang Zhang Runze Liang Miao Wang | 2019 | Computational Visual Media2019，5，1： | 5 |
| 3 | Thermoelectric enhancement of p-type Si_(80)Ge_(20) alloy via co-compositing of dual oxides:Respective regulation for power factor and thermal conductivity byβ-Ga_(2)O_(3) and SiO_(2) aerogel powders显示文摘Si-based thermoelectric(TE)materials are exhibiting remarkable perspectives in self-energized applications with their special advantages.However,the relatively high total thermal conductivity(κ)prevents their TE enhancement.Here,a strategy of co-compositing dual oxides was implemented for enhancing the TE properties of p-type Si_(80)Ge_(20) bulks.Composited Ga2O_(3) was demonstrated to enhance the power factor(PF)due to the crystallization-induced effect of produced Ga by decomposition on SiGe matrix.Associating with compositing SiO_(2) aerogel(a-SiO_(2))powder,not only introduced the fine amorphous inclusions and decreased the grain size of host matrix,but also various nano morphologies were formed,i.e.,nano inclusions,precipitations,twin boundaries(TBs),and faults.Combining with the eutectic Ge,hierarchical scattering centers impeded the phonon transport comprehensively(decreasing the phonon group velocity(a v)and relaxation time)for reducing the lattice-induced thermal conductivity(lκ).As a result,a minimumκof 2.38 W·m^(−1)·K^(−1) was achieved,which is significantly dropped by 32.6%in contrast with that of the pristine counterpart.Ultimately,a maximal dimensionless figure of merit(ZT)of 0.9 was achieved at 600℃,which is better than those of most corresponding oxide-composited Si-based bulks. | Huajun LAI Ying PENG Mengfei WANG Runze SHI Junliang CHEN Chengyan LIU Yifeng WANG Lei MIAO Haiqiao WEI | 2023 | Journal of Advanced Ceramics2023，12，2： | 1 |
| 4 | An inverse design method for supercritical airfoil based on conditional generative models显示文摘Inverse design has long been an efficient and powerful design tool in the aircraft industry.In this paper,a novel inverse design method for supercritical airfoils is proposed based on generative models in deep learning.A Conditional Variational Auto Encoder(CVAE)and an integrated generative network CVAE-GAN that combines the CVAE with the Wasserstein Generative Adversarial Networks(WGAN),are conducted as generative models.They are used to generate target wall Mach distributions for the inverse design that matches specified features,such as locations of suction peak,shock and aft loading.Qualitative and quantitative results show that both adopted generative models can generate diverse and realistic wall Mach number distributions satisfying the given features.The CVAE-GAN model outperforms the CVAE model and achieves better reconstruction accuracies for all the samples in the dataset.Furthermore,a deep neural network for nonlinear mapping is adopted to obtain the airfoil shape corresponding to the target wall Mach number distribution.The performances of the designed deep neural network are fully demonstrated and a smoothness measurement is proposed to quantify small oscillations in the airfoil surface,proving the authenticity and accuracy of the generated airfoil shapes. | Jing WANG Runze LI Cheng HE Haixin CHEN Ran CHENG Chen ZHAI Miao ZHANG | 2022 | Chinese Journal of Aeronautics2022，35，3： | 0 |
| 5 | Pure-Blue Fluorescence Molecule for Nondoped Electroluminescence with External Quantum Efficiency Approaching 13%显示文摘A pure-blue light-emitting material is one of the key components in the preparation of organic lightemitting diode(OLED)displays.Although highefficiency blue OLEDs have been realized in thermally activated delayed fluorescence(TADF)materials,they need to be dispersed into suitable hostmaterials.Hence,exploring efficient nondoped,pure-blue luminous molecules is important. | Xianhao Lv Lei Xu Miao Cang Runze Wang Mizhen Sun Huayi Zhou Yuan Yu Qikun Sun Yuyu Pan Yuwei Xu Dehua Hu Shanfeng Xue Wenjun Yang | 2021 | CCS Chemistry2021，3，9： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员