2025年基于算子学习的等离子体数值模拟及应用报告-东南大学（仲林林）

FAFEE2025第十二届电工技术前沿问题学术论坛The12hFrontierAcademicForumofElectricalEngineering(FAFEE2025/05/25厦门03基于算子学习的粒子模拟(PIC):PaRO-DeepONet物理信息神经网络与算子学习的仿真框架对比传统数值算法的困境：网格与收敛性equationequationsequat⑦üüuuu1L.Zhong.Q.GuandB.Wu2L.Zhong,B.WuandY.Wang,PhysicsofFluids34(8),087116(2022).cL.Zhong,B.WuandY.Wang,PhysicsofFluids34(8),087116(2022).T8TL.Zhong,B.WuandY.Wang,PhysicsofFluids34(8),087116(2022).DiscretizethismathematicalmodelVf20NeuralrggOQTSbone王0RequirementfordataOptionalfoSt01000dg5dg500AA要儿2u要儿2uluensot0tas10”~岁g,n要8(~岁g,n要8(0000翻翻trDeepCSNet单分子模型WangY,ZhongL,PlasmaEE₂2n.·WangY,ZhongL,PlasmaSourcesScienceE₂₁E₂E₂₁E₂…EE₂energy.Dataset:He,O₂,N₂:495sets(395setsWangY,ZhongL,PlasmaSourcesScienceandTeE₁₂E₂·Molecules:O₂,N₂,H₂,CH₄,NH₃,H₂O,.TestonunseenenergieswithinoroutsidetherangeofD0s1ot4ey-1)incidentangle(degree)WangY,ZhongL,PlasmaSourcesScienceandTechnology,33(10):105012(….]一00.10collectionofchargedmacrelectromagneticfieldsPushparticlescloudsofpartidesDE=V〉B一J2qⅢ基于粒子信息的降阶深度算子网络PaRO-DeepONettime-evolvedchargedistributions.:JianhuaLv,LinlinZhong.arXiv:250419065,算例1:二维静电球体扩散S0.1,0.11,0.12,0.13,0.15,0.Zhong.arXiv:250419065,29/45算例2:L型区域中的电子扩散·Totaltimestep:55>算例3:电子提取0算例4:三维静电球体扩散W中W中拟A世BSa(方程)方程)电子能量ee00VariablefactorsVariablefactors电弧等离子体1D流体模拟(Elenbaas-Heller方程)TransientElenbaas-HellerTransientElenbaas-Hellerequationwith(a)热导率(b)粘滞系数(c)定压比热(d)净辐射系数L.Zhong,B.WuandY.Wang,PhysicsofFluids34(8),087116(2022).differentboundarytemperatu根jjfVe100020003000100020003000TIK)1200200200200200Temperatureevolution(PredictTemperatureevolution(Predict