報 告 人：楊瑋楓

報告題目：Tracing spatiotemporal information in ultrafast dynamics

報告時間：2024年5月7日（周二）上午9:30

報告地點：物理與電子工程學院428會議室

主辦單位：物理與電子工程學院、科學技術研究院

報告人簡介：

楊瑋楓，海南大學教授、博士生導師，計算原子與分子物理專業(yè)委員會委員，原子分子物理專委會青年委員會委員，眼科影像與智能醫(yī)療專委會委員，海南省自然科學基金創(chuàng)新研究團隊負責人，海南省物理學類教學指導委員會主任委員，《光學學報（網(wǎng)絡版）》編委，卓越期刊Ultrafast Science青年編委。在新型光場調控、智能算法輔助成像和阿秒科學方面進行了長期深入的研究，在Physical Review Letters, Light: Science & Applications等上發(fā)表論文60余篇，多項研究成果入選英國物理學會、中國激光雜志社等的Highlight, Editor-in-Chief Choice Award等。先后二十余次應邀在國內外重要學術會議作特邀報告。入選上海市科技啟明星計劃，全國優(yōu)秀博士學位論文獎，海南省高層次人才等。

報告摘要：

Tracing electron dynamics in real time is central to the understanding and exploring of the fundamental photophysical and photochemical processes. We demonstrated that the quantum time delays of different ionization pathways in strong-field dynamics can be clearly resolved and extracted with semiclassical statistical methods and a large number of elenctron trajectories. Our results unified the seemingly opposing quantum Eisenbud-Wigner-Smith time delay and classical Coulomb-induced time delay by highlighting the same physical picture. We employed deep learning to perform Feynman’s path integral approaches to demonstrate the classical-quantum correspondence. We found that some quantum mechanical concepts such as state, excitation and “resonance” in molecules can be expressed by statistical electron trajectories. We revealed the nonadiabatic tunneling dynamics in solid-state high harmonic generation.