Input-Output Formulation of Quantum Nonlinear Spectroscopy
Spectroscopy has been an important tool in investigating the behavior of atomic, molecular, or material systems. Recently, quantum light spectroscopy has been proposed to be able to outperform conventional spectroscopy using classical light by exploiting the non-classical properties of light. Current theoretical methods to analyze quantum nonlinear spectroscopy are based on the perturbative expansion of the combined matter - photon field state. In this talk, I will present a new input-output formulation of quantum nonlinear spectroscopy that simplifies the analysis of the output signal. Using this formalism, we show an equivalence between a class of quantum light spectroscopy experiments using entangled photon pairs and a class of classical light spectroscopy experiments.
Liwen received his B.S. in chemistry from University of California, Berkeley. He is currently a PhD student in chemistry working with Prof. Birgitta Whaley. Liwen's PhD work focuses on understanding the energy transfer and charge transfer dynamics in natural photosynthesis using theory and computer simulations, coupled to spectroscopy experiments performed in Prof. Graham Fleming's group (UC Berkeley) and time-resolved x-ray diffraction experiments in Prof. Jan Kern's group (LBNL).
Leveraging Computational Materials Science for Next-gen Li-ion Battery Cathode Discovery
As Li-metal anodes become more readily available, next-gen Li-ion battery cathodes are no longer required to contain Li in their as-synthesized state, vastly expanding the materials search space. In order to identify potential cathode materials that do not necessarily contain Li in their native state, we have developed a computational screening pipeline for rapid cathode discovery. This pipeline operates on any database of inorganic materials without a priori information on Li sites and performs screening based on computed voltage, capacity, and ion mobility. In addition, we ran a preliminary application of the pipeline on a subset of the Materials Project database, and one particular polymorph of MnP2O7 emerges as an example. We will discuss the pipeline’s design as well as the MnP2O7 demonstration case.
I received my B.S. in Materials Science and Engineering from UC Berkeley in 2020. I am currently a fourth-year PhD student in MSE working with Professor Kristin Persson. My primary research focus is on next-gen Li-ion battery cathode discovery enabled by Li-metal anodes, as well as building ML models for voltage in Li-ion battery cathodes. Outside the lab, I enjoy biking, archery, basketball, and Chinese calligraphy.