Seminars

Abstract Linking computational techniques to experiments for establishing design-structure-property relationships in soft materials. My research group’s expertise lies in the development of physics-based molecular models and simulation methods as well as data-driven machine learning models for designing and characterizing soft macromolecular materials.  In this talk, I will highlight examples from my group’s recent work to…

Inspirations for a Career Path for Growth Biography Jim Semler recently joined Merck as a principal scientist in the Materials and Biophysical Characterization group focused on drug substance and drug product development.  Prior to Merck, he was the Director of Materials Science & Sustainability within the Medication Delivery Solutions business unit at Becton Dickinson.  At…

Abstract Exploring how ionic correlations influence ion transport and electron transfer in electrochemical systems Electrochemical technologies promise to play a major role in mitigation of carbon emissions associated with energy and chemical production. In most electrochemical devices, high ion concentrations and large operating voltages induce strong ion-ion correlations, which drives electrolyte ions to collectively assemble…

Abstract Innovation and Sustainability as Intertwined Forces to Accelerate Net Zero Goals The trifecta of clean energy, power grids modernization and digital transformation is driving innovation on steroids for the wire and cable (W&C) industry. For example, the US government has set a goal to deploy 30GW of new offshore wind energy by 2030 and…

Abstract Data Science & Machine Learning Approaches to Catalysis and Chemical Engineering Data science and machine learning (DS/ML) are changing the way many people approach catalysis research, ranging from new design of experiment approaches, new methods in simulation, even new ways of interacting with the scientific literature. It is challenging today to even keep up…