January 2024: Our group's new paper investigating how surface functionalziation can be used to control the structure of perylenediimide thin films has been published in Langmuir! This work was done in collaboration with the Rose group here at UT!
January 2024: Congrats to Jussi! His new paper investigating the use of triplet fusion to drive 3D printing was published by ACS Central Science! This work was performed in collaboration with the Page group at UT Austin! You can check out a press release describing the work here.
January 2024: Sean is featured as a guest on The Materials Universe, a podcast on materials science put out by the Center For Dynamics and Control of Materials! You can check out Sean's interview here!
December 2023: Congrats to Tanner and Kelly! Their manuscript examining how disorder found near the edges of rubrene crystals impacts singlet fission was accepted by J. Phys. Chem. Lett.! This paper came about through collaborative work with the Rossky, Zanni, and Frontiera groups that was made possible though the Center for Adopting Flaws as Features, a NSF CCI!
December 2023: Congrats to Seth as our latest paper with the Page group examining the impact of electron donating groups on azaBODIPY photocatalysts has been accepted by Macromolecules!
October 2023: We would like to welcome two new graduate students to our group, Toby Lopez and Rosemary Nguyen. Toby and Rosemary will both be working to advance some of our new projects in femtosecond time resolved microscopy. Welcome!
October 2023: Congrats are in order for Danielle as she has been selected to receive an ACS PHYS Graduate Students Award! As a part of her award, Danielle gave a Zoom presentation to a national audience that included members of the ACS PHYS division. Great work Danielle!
September 2023: Congrats to Seth! His collaborative paper with the Page group examining new near-infrared absorbing photocatalysts for 3D printing has been accepted by J. Mater. Chem. A!
August 2023: Our new paper with the Rossky group at Rice which reports the use of machine learning to develop a simulation potential for PbS quantum dots was just published by J. Phys. Chem. Lett. You can check out the paper here!