Research
Current Research Interests
I am broadly interested in problems that lay at the intersection of physical science and machine learning. Some current topics include:
- Predicting emergent phenomena in complex fluids
- Machine learning for hydrodynamic interactions
- Graph level predictions for supercritical phase phenomena
PhD Research
My Ph.D. research used machine learning to tackle problems surrounding active matter. Active matter is a material in which each consituent can self-propel, such as a colony of bacteria or school of fish. Because each consituent can move due to internal stresses, these systems are driven far from equilibrium, rendering most of our first-principle frameworks useless. I collaborated with scientists in the Brady group to use machine learning to predict complex dynamics in these systems that either can’t be done analytically or would be extremely computationally expensive to do via simulation alone. I also worked on understanding single-particle dynamics through the development of analytic theory and studied fluctuations in these systems through a combination of theoretical insight and large-scale computational studies.
Preprints
AR Dulaney, JF Brady, “Machine Learning for Phase Behavior in Active Matter Systems,” arXiv, (2020). Link
Publications
AR Dulaney, SA Mallory, JF Brady, “ The `isothermal’ compressibility of active matter,” Journal of Chemical Physics, 154, 1, 014902 (2021). Link
AR Dulaney, JF Brady, “Waves in active matter: The transition from ballistic to diffusive behavior,” Physical Review E, 101, 5, 052609 (2020). Link
R Katsumata, AR Dulaney, CB Kim, C Ellison, “Glass Transition and Self-Diffusion of Unentangled Polymer Melts Nanoconfined by Different Interfaces,” Macromolecules, 51, 19, 7509-7517 (2018). Link
VR Heng, HS Ganesh, AR Dulaney, A Kurzawski, M Baldea, OA Ezekoye, TF Edgar, “Energy-Oriented Modeling and Optimization of a Heat Treating Furnace,” Journal of Dynamic Systems, Measurement, and Control, 139, 6, 061014 (2017). Link
K Geng, R Katsumata, X Yu, H Ha, AR Dulaney, CJ Ellison, OKC Tsui, “Conflicting Confinement Effects on the Tg, Diffusivity, and Effective Viscosity of Polymer Films: A Case Study with Poly(isobutyl methacrylate) on Silica and Possible Resolution,” Macromolecules, 50, 2, 609-617 (2017). Link
Y Fang, AR Dulaney, J gadley, JM Maia, CJ Ellison, “A comparative parameter study: Controlling fiber diameter and diameter distribution in centrifugal spinning of photocurable monomers,” Polymer, 88, 6, 102-111 (2016). Link
JH Cho, R Katsumata, SX Zhou, CB Kim, AR Dulaney, DW Janes, CJ Ellison,”Ultrasmooth Polydopamine Modified Surfaces for Block Copolymer Nanopatterning on Flexible Substrates,” ACS Applied Materials and Interfaces, 8, 11, 7456-7463 (2016). Link
Y Fang, AR Dulaney, J gadley, JM Maia, CJ Ellison, “Manipulating characteristic timescales and fiber morphology in simultaneous centrifugal spinning and photopolymerization,” Polymer, 73, 2, 42-51 (2015). Link
CB Kim, DW Janes, SX Zhou, AR Dulaney, CJ Ellison, “Bidirectional Control of Flow in Thin Polymer Films by Photochemically Manipulating Surface Tension,” Chemistry of Materials, 27, 13, 4538-4545 (2015). Link
Presentations
“The `isothermal’ compressibility of active matter.” American Institute of Chemical Engineers, 2020. Link
“The Wavelike Character of Active Brownian Particles.” Annual Southern California Flow Physics Symposium, 2018.
“The dynamic structure factor of active Brownian particles.” APS March Meeting, 2018.
“The dynamic structure factor of active Brownian particles.” Annual Southern California Flow Physics Symposium, 2017.
“Bidirectional Control of Marangoni Flow.” American Institute of Chemical Engineers Southwest Regional Conference, 2015.