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Seminar Series

 

Spring 2023

Welcome to the Department Seminar Series – Spring 2023. There will be 13 seminars this semester. At the moment, all seminars are in person unless stated otherwise at 3:30 p.m. in SCI 1.210
Date/Hostvirtual/in personSpeaker, InstitutionTitle/Area
February 3/Dr. Allison Stelling canceledDr. Wei Xiong, UC San DiegoUltrafast Dynamics of Molecular Vibrational Polaritons
February 10/Dr. Filippo Romitiin personDr. Kevin Brown, Indiana UniversityBuilding Bonds with Boron 
February 17/Dr. Ronald Smaldonein personDr. Yi Liu, Lawrence Berkeley National Laboratory Functional Polymers for Capacitors, Organic Electronics, and Batteries
February 24/CGSA (Muhammad Abbas)in personDr. Mircea Dinca, MITSurprising Properties of 2D Metal-Organic Framework
March 3/Dr. Torabifardin personDr. Christopher Rowley, Carleton University Neural Network Potentials in Chemistry and Biophysics
March 10/Dr. Jie Zhengin personDr. Qinggong Tang, University of Oklahoma Development and Applications of 3D Mesoscopic Optical Imaging Technologies
March 24/Dr. Allison Stelling in personDr. Wei Xiong, UC San DiegoUltrafast Dynamics of Molecular Vibrational Polaritons
March 31/Dr. Ronald Smaldonein personDr. Jihye Park, University of Colorado at Boulder Tuning Properties of 2D Conductive Metal-Organic Frameworks from Molecular Approaches
April 7/Dr. Amandeep Srain personDr. Diana Mason, University of North TexasResults from a six-year study of students at Texas universities and their success in lower-level chemistry courses
April 21/Dr. Sheel Dodaniin personDr. Bruce Gibb, Tulane UniversityProbing solute-water and solute-anion interactions: Deep-dives into the hydrophobic effect and the Hofmeister effect(s)
April 28/Dr. Jeremiah Gassensmithin personDr. Abraham Joy, University of AkronChallenges of Chronic Wound Healing as an Inspiration for the Development of a Peptide-like Polymer Platform
May 5/Dr. Sheena D’Arcy+Biochemistry Associationin personDr. Yan Zhang, UT Austin1+1 > 2: Combination of experimental structural biology and AI-predicted protein fold to understand biological functions
    
    
    
Department of Chemistry and Biochemistry Seminar Series

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