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MSE Department Seminar

Beyond Lithium and Towards Sodium: Thin-Film Glassy Solid Electrolytes as a New Functionality for Glass Enabling High Energy Density Na All Solid State Batteries

Fast ion conducting glasses have long been considered as alternatives to flammable liquid electrolytes in Li batteries. However, to date, there has never been before the unique combination of required electrochemical properties in any one such glass for its use as a solid electrolyte with the equally important requirements of viscoelastic behavior to form them into thin films suitable for high ion conductivity separators.

From Li Extraction to Batteries: How Polymers Interact with Electrons, Ions, and Solvents

Lithium-based batteries are essential in modern energy supply systems. There is a demand for safer and higher energy density batteries, and for securing the supply chain of Li for production of these batteries. In this talk, I will cover experimental and modeling studies that focus on the interactions among ions, solvents, and polymers in both battery and separation systems, and how these interactions can be optimized through molecular-scale design.

Machine learning models for materials discovery

Innovative materials are needed to tackle current major challenges in energy storage and generation. However, the design of new materials largely relies on experimental trial and error, limiting the number explored compounds relative to the entire space of possible compounds. In this presentation, I will discuss our approach to materials design, which integrates machine learning (ML) techniques with quantum mechanics-based computations.

Integrated lithium niobate ultrafast and nonlinear photonics: New devices and systems on an old material.

Despite being an old material in optical and microwave technologies in its bulk form, thin-film lithium niobate (TFLN) has recently emerged as one of the most promising integrated photonic platforms owing to its strong electro-optic (EO) coefficient, quadratic optical nonlinearity, and broadband optical transparency ranging from 350 nm to 5 µm. In this talk, I will first overview the basic optical properties of LN, and how LN nanophotonics can grant us new regimes for studying ultrafast and nonlinear photonics.

Room-Temperature Ferromagnetism in Transition Metal Dichalcogenides

Magnetic impurity doped monolayer transition metal dichalcogenides (TMDs) have been theoretically predicted to be above room temperature ferromagnets when doping/alloying levels are high (greater than 15% substitution of the transition metal). Due to their monolayer thickness, RT ferromagnetic TMDs could be useful in highly efficient memory devices as interface exchange and strain coupling scales as 1/t FM.

Inverse Materials Design via Theory and Machine Intelligence

Traditionally materials design relies on empirical methods such as trial-and-error, high-throughput screening, or combinatory experimentation. In contrast, inverse materials design adopts a systematic and computational approach to identify and engineer materials suitable for specific purposes. In this talk, I will present case studies highlighting the power of molecular theory and machine learning for the inverse design of nanostructured materials for chemical separation, wet adhesion, and electrochemical energy storage.

Dynamics of Vibration-Cavity Polaritons and Active Tuning of Phonon Polaritons

Polaritons are quasiparticles of mixed optical-material nature that provide an opportunity for designing new properties in material systems. Coupling vibrational modes to optical cavities results in vibration-cavity polaritons that have been shown to modify chemical reaction rates and branching ratios. Our group has been investigating whether cavities alter transient properties such as relaxation of molecular vibrations, which might explain the modified chemistry.