第十届亚洲计算传热与流体流动会议 ( ASCHT2025)

The 10th Asian Symposium on Computational Heat Transfer and Fluid Flow

2025年10月09日~13日

中国 · 武汉市 · 武汉

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时刻表

时区：Asia/Shanghai

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第4天2025年10月12日星期日

S8-1	开始	结束	持续	编号	标题
S8-1	Session 8-1@AI, surrogate modeling and optimization 2025年10月12日 08:00~11:50 武汉光谷金盾大酒店 Kingdom Ballroom 3#, 3F 线下口头报告时刻表 V4 发布时间：2025-10-07 16:28:27
Chair: Sanghun Choi
08:00	08:30	30	207	Topology optimization of heat and mass transfer processes: models and applications Li Chen/Xi' an Jiaotong University, China 主旨报告
Chair: Satoshi Ii
08:30	08:50	20	60	Computational Design of Aerogel Windows: From Microstructure to Performance Mu Du/Shandong University, China 特邀报告
08:50	09:05	15	211	Urban Microclimate Simulation for UAM Operation Safety Assessment Using LES Data–Driven POD–Transformer Modeling Kim Jungwoo/Yonsei University, South Korea 口头报告
09:05	09:20	15	118	Image recognition-based ultra-fast and accurate equivalent circuit model for metal hydride reactors Wangxin Yang/Xi'an Jiaotong University, China 口头报告
09:20	09:35	15	10	High efficiency design and optimization framework of TPMS structures for additive manufacturing applications Hanyu Ning/Xi'an Jiaotong University, China 口头报告
09:35	09:50	15	52	Active-Passive Synergistic Optimization of Building Cooling on Low-Latitude Islands Based on Deep Seawater Closed Cooling Air Conditioning System Huimin Niu/North China Electric Power University, China 口头报告
09:50	10:10	20		Coffee Break
Chair: Mu Du
10:10	10:30	20	199	Water and Thermal Management in Proton Exchange MembraneFuel Cells: Insights across Different Scales and AI-Driven Operating Condition Optimization Lei Chen/Xi'an Jiaotong University, China 特邀报告
10:30	10:50	20	200	Multi-objective intelligent optimization of waste heat removal process for space nuclear reactors Haochun Zhang/Harbin Institute of Technology, China 特邀报告
10:50	11:05	15	103	On-board Hydrogen Cylinder Filling Strategy Based on Stepwise Filling Mode Daoting Wang/Beijing Institute of Petrochemical Technology, China 口头报告
11:05	11:20	15	163	Numerical study and performance evaluation of a SWaP-refined miniature Stirling cryocooler for high-operating-temperature infrared detectors Muhammad Shad/Huazhong University of Science and Technology, China 口头报告
11:20	11:35	15	104	Performance of topology-optimized liquid flow channel for battery thermal management: preheating and cooling Tianshuo Yang/Dalian Maritime University, China 口头报告
11:35	11:50	15	113	A Fast Prediction Method for Multi-Physical Fields of Chip Heat Exchangers Based on CFD and Convolutional Neural Network Hang Yu/Xi'an Jiaotong University, China 口头报告

S8-2	开始	结束	持续	编号	标题
S8-2	Session 8-2@AI, surrogate modeling and optimization 2025年10月12日 13:30~16:35 武汉光谷金盾大酒店 Kingdom Ballroom 3#, 3F 线下口头报告时刻表 V4 发布时间：2025-10-07 16:28:27
Chair: Guang Feng
13:30	14:00	30	177	Physics-Informed Flow Simulations via Operator Learnings Sanghun Choi/Kyungpook National University, South Korea 主旨报告
Chair: Xuhui Meng
14:00	14:15	15	15	Solving Partial Differential Equations Based on Unstructured Neural Operators Haobo Guo/Xi'an Jiaotong University, China 口头报告
14:15	14:30	15	159	Monte Carlo physics-informed neural networks for multiscale heat conduction via phonon Boltzmann transport equation Qingyi Lin/Huazhong University of Science and Technology, China 口头报告
14:30	14:45	15	138	Generalizable subgrid scale stress modeling using graph neural networks with multi-scale physics Louis Hutin/Institute of Science Tokyo, China 口头报告
14:45	15:00	15	212	Reinforcement Learning-based Precision Temperature Control for Thermoelectric Heat Exchangers SeokYong Lee/Kyungpook National University, South Korea 口头报告
15:00	15:30	30		Coffee Break
Chair: Lei Chen
15:30	15:50	20	201	Prediction of patient-specific hemodynamics for cerebral aneurysms using computational fluid dynamics and deep learning techniques Satoshi Ii/Institute of Science Tokyo, Japan 特邀报告
15:50	16:05	15	102	Optimization of Key Transport Parameters of Temporary Plugging Agents in Deep Reservoirs Using TCN and NSGA-II Yue Wu/China University of Petroleum, China 口头报告
16:05	16:20	15	112	Adaptive Flow Control Strategy for Power Lithium-Ion Batteries Based on LSTM-Encoder Tianyi Zhang/Xi'an Jiaotong University, China 口头报告
16:20	16:35	15	122	An Interpretable Deep Learning model for Quantifying Catalyst Layer Structural and Operating Condition Impacts on Performance in PEM Fuel Cells Zhao Liu/Xi'an Jiaotong University, China 口头报告

重要日期

会议日期

10月09日

2025

至

10月13日

2025
08月30日 2025

初稿截稿日期
10月13日 2025

注册截止日期

主办单位

Huazhong University of Science and Technology

联系方式

刘修良
li******@hust.edu.cn

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