【报告题目】：Localized waves solutions of the massive Thirring model via bilinear KP-hierarchy reduction and PINN deep learning
【报告人】：陈俊超，丽水学院副教授
【报告时间】：6月6日（周五）10:30-12:00
【报告地点】：科技楼29-414
【报告摘要】：In this talk, we will talk about localized waves solutions of the massive Thirring model. These solutions including bright/dark soliton, breather and rogue waves are derived by using the bilinear KP hierarchy reduction method and presented explicitly in terms of determinants. Rogue wave patterns are discussed when one of the internal parameters is large. The patterns are shown to be associated with the root structures of the Yablonskii-Vorob’ev polynomial hierarchy. Data-driven localized waves and parameter discovery of this coupled model are studied via extended physics-informed neural networks with interface zones.
【报告人简介】：陈俊超，副教授，任职于丽水学院，博士毕业于华东师范大学。主要从事数学物理方程，可积系统和符号计算等研究，曾主持国家自然科学基金项目2项，参与国家自然科学基金项目2项。在如J. Phys. A: Math. Theor., Phys. Rev. E, J. Math. Phys.,Stud. Appl. Math..等杂志上发表SCI论文30余篇，入选ESI高被引(1/%)论文3篇；2013年获国家公派美国联合培养博士生一年，2016年上海市高等院校优秀毕业生，2019年入选丽水市138人才第二层次项目。
