姓名：吴浩
职称：副教授，硕士生导师
研究方向：
1.铅铋反应堆固态氧控
2.高温气冷堆辐射传热与CFD-DEM
3.深度学习在反应堆热工中的应用
联系方式：
邮箱地址：wuhao1938@hotmail.com
一、个人简介
吴浩，304am永利集团副教授，硕士研究生导师。清华大学核科学与技术博士学位和博士后。主讲课程《传热学》和《核反应堆热工分析》。从事铅铋氧控、球床堆传热和深度学习等领域研究，在Chemical Engineering Science、International Journal of Heat and Mass Transfer、Progress in Nuclear Energy和国际人工顶级会议AAAI上累计发表学术论文四十余篇，获得授权国家发明专利3项。
二、主要获奖及荣誉称号
1. 中国电力企业联合会2025年度电力创新奖一等奖
三、教学与人才培养情况
1. “十佳示范性优秀班集体”班主任
2. 优秀班主任
3. 指导“百篇”校级优秀本科毕业设计论文
4. 完成校级教学研究与改革项目1项
四、代表性科研项目
1.主持国家自然科学基金青年科学基金项目：“铅铋反应堆颗粒尺度固态氧控机理研究”
2.主持国防科技工业核动力技术创新中心专项科研项目：“基于GPU并行的先进反应堆流动传热关键问题研究”
五、代表性论著（论文、专著、专利等）
[1]. Wu H*, Hao S, Liu Y, et al. A novel statistical ray-tracing framework for evaluating radiative thermal conductivity in pebble-bed nuclear reactors[J]. Chemical Engineering Science, 2025: 122828.
[2]. Li J, Wu H*, Hao S, et al. Development and validation of an analytical model for predicting radiative view factors in nuclear pebble beds[J]. International Communications in Heat and Mass Transfer, 2026, 170: 109902.
[3]. Wu H*, Hao S, Liu F, et al. An enhanced factor model for coupled conductive-radiative heat transfer at the particle scale in pebble beds[J]. Progress in Nuclear Energy, 2026, 191: 106061.
[4]. 吴浩, 谢宛均, 梁瑞仙, 等. 一种铅基快堆电动式固态氧控调节系统:202311042866.4[P]. 2026.（发明专利）
[5]. Zhao P, Wu H*, Hao S, et al. Characterizing particle thermal radiation in pebble beds via entropy evaluation modeling[J]. Annals of Nuclear Energy, 2026, 227: 112007.
[6]. Zhu Y, Wu H*, Niu F, et al. Numerical simulation of oxygen mass transfer dynamics in liquid lead-bismuth eutectic alloy in solid-phase active control system[J]. Nuclear Engineering and Technology, 2025, 57(11): 103790.
[7]. Zhu Y, Wu H*, Liu F, et al. Diffusive smoothing CFD-DEM simulations with particle-scale mass transfer in LBE solid-phase oxygen control systems[J]. Particuology, 2025, 99: 150-161. (封面论文)
[8]. 吴浩, 朱玉琦, 谢宛均, 等. 一种铅铋快堆固相氧控氧化铅溶解数值模拟计算方法:202311037116.8[P]. 2025.（发明专利）
[9]. 吴浩, 李柏庆, 赵后剑, 牛风雷. 一种球床颗粒间角系数的预测方法、系统及存储介质:202111395184.2[P]. 2025.（发明专利）
[10]. Zhu Y, Wu H*, Liu F, et al. Numerical mass transfer simulations of Venturi-type solid phase oxygen control with mass exchanger in UPBEAT loop[J]. Annals of Nuclear Energy, 2024, 207: 110735.
[11]. Wu H*, Hao S, Niu F, et al. Neural network architecture search model for thermal radiation in dense particulate systems[J]. International Journal of Heat and Fluid Flow, 2024, 108: 109498.
[12]. Wu H*, Hao S, Niu F, et al. A tree-based automated machine learning approach of the obstructed view factor of thermal radiation in nuclear pebble beds[J]. Progress in Nuclear Energy, 2024, 173: 105261.
[13]. Wu H, Niu F, Gui N, et al. A thermal resistance model of conduction–thermal radiation heat transfer in pebble-bed nuclear reactors[J]. Experimental and Computational Multiphase Flow, 2024, 6(1): 59-66.
[14]. Li B, Gui N, Wu H, et al. Sub-cell radiation-conduction (SCRC) model in densely packed beds of mono-sized pebbles for HTGR under vacuum condition[J]. International Journal of Heat and Mass Transfer, 2022, 199: 123445.
[15]. Wu H, Hao S, Niu F, et al. A data-driven deep learning model of radiative heat transfer in dense granular systems[J]. Annals of Nuclear Energy, 2022, 167: 108855.
[16]. Wu H, Zhao H, Hao Z, et al. A non-linear transform approach for conduction-radiation heat transfer in the extended thermal discrete element method[J]. International Journal of Heat and Mass Transfer, 2021, 176: 121432.
[17]. Wu H, Gui N, Yang X, et al. Full mechanism modeling of contact thermal resistance with stagnant fluids in thermal discrete element method[J]. International Communications in Heat and Mass Transfer, 2020, 119: 104829.
[18]. Wu H, Gui N, Yang X, et al. A matrix model of particle-scale radiative heat transfer in structured and randomly packed pebble bed[J]. International Journal of Thermal Sciences, 2020, 153: 106334.
[19]. Wu H, Hao S. A deep neural network model of particle thermal radiation in packed bed[100]. AAAI Conference on Artificial Intelligence. 2020, 34(01): 1029-1036.
[20]. Wu H, Gui N, Yang X, et al. Analysis and evaluations of four models of thermal radiation for densely packed granular systems[J]. Chemical Engineering Science, 2020, 211: 115309.
[21]. Wu H, Gui N, Yang X, et al. A new uniform continuum modeling of conductive and radiative heat transfer in nuclear pebble bed[J]. Journal of Heat Transfer, 2019, 141(8): 082001.
[22]. Wu H, Gui N, Yang X, et al. A smoothed void fraction method for CFD-DEM simulation of packed pebble beds with particle thermal radiation[J]. International Journal of Heat and Mass Transfer, 2018, 118: 275-288.
[23]. Wu H, Gui N, Yang X, et al. Numerical simulation of heat transfer in packed pebble beds: CFD-DEM coupled with particle thermal radiation[J]. International Journal of Heat and Mass Transfer, 2017, 110: 393-405.
[24]. Wu H, Gui N, Yang X, et al. Effect of scale on the modeling of radiation heat transfer in packed pebble beds[J]. International Journal of Heat and Mass Transfer, 2016, 101: 562-569.