1. Helical Symmetry Solutions to the Equations of Magnetohydrodynamics Open Access Author: Thornton, Stephen Title: Helical Symmetry Solutions to the Equations of Magnetohydrodynamics Area of Honors: Mathematics Keywords: MagnetohydrodynamicsMHDFluidsPDEPartial Differential Equations File: Download ThorntonFinalMathThesis.pdf Thesis Supervisors: Anna L Mazzucato, Thesis SupervisorLudmil Tomov Zikatanov, Thesis Honors Advisor
2. A new training method for neural network in solving PDEs Open Access Author: Liang, Fei Title: A new training method for neural network in solving PDEs Area of Honors: Mathematics Keywords: Neural NetworkPDEDeep-Ritztraining methodefficiency File: Download A_New_Training_Method_for_Deep_Neural_Network_in_Solving_PDEs.pdf Thesis Supervisors: Xiantao Li, Thesis SupervisorXiantao Li, Thesis Honors AdvisorWenrui Hao, Faculty Reader
3. Modeling Microbubble Motion in Poiseuille Flow Using Neural Networks: A Comparative Study of Physics-Informed, Data-Driven, and Hybrid Approaches Open Access Author: Hanafi, Ashhad Title: Modeling Microbubble Motion in Poiseuille Flow Using Neural Networks: A Comparative Study of Physics-Informed, Data-Driven, and Hybrid Approaches Area of Honors: Computer Science Keywords: neural networksneural networkflowmicrobubblemicrobubblesbubblesbubblepinnphysics-informeddatadata-drivenBUFFflow fieldlossMSEtrajectorypoiseuillenetworkneuralPDEODEdifferentialequationsequationphysicsmachinelearningmachine learning File: Download thesis-updated.pdf Thesis Supervisors: Mohamed Khaled Almekkawy, Thesis SupervisorRebecca Jane Passonneau, Thesis Honors Advisor