Nick is currently a Maria Goeppert Mayer Fellow in the Materials Science Division at Argonne National Laboratory. He also holds a visiting scientist position in the laboratory of Juan de Pablo at the University of Chicago. His current research concerns the development and application of computational algorithms for the multiscale design of soft materials. This work is coupled with active experimental collaborations with Matt Tirrell's group on the study of polyelectrolyte brushes and Mark Ediger's group on characterizing vapor-deposited molecular glasses.
Nick's graduate work was performed at Northwestern University under the guidance of Mark Ratner and Lin Chen, with funding from a NSF Graduate Research Fellowship Program Fellowship and a Northwestern Presidential Fellowship. From 2011 to 2016 he worked on the development of graph theoretic methods for characterizing optoelectronic networks in soft materials. Nick also collaborated with George Schatz and Monica Olvera de la Cruz on the atomistic simulation of conjugated copolymers and with Tobin Marks on the design of organic photovoltaic materials. Nick holds a BA in physics from Wesleyan University, where he worked with Professor Fred Ellis on vortex drag in superfluid Helium II.
Nick's research concerns the development and application of multiscale theoretical and computational methods to design sustainable soft materials with advanced electronic, ionic, and optical functionalities. Unique to his approach is a combined expertise in the quantum-mechanical simulation of chemical processes, the multiscale modeling of soft materials, and the application of machine learning algorithms to molecular systems, with experimental collaborations underscoring the majority of his work.
Rumyantsev, A.M., Jackson, N.E., Johner, A. and De Pablo, J.J., 2021. Scaling Theory of Neutral Sequence-Specific Polyampholytes. Macromolecules, 54(7), pp.3232-3246.
Rumyantsev, A.M., Jackson, N.E. and De Pablo, J.J., 2021. Polyelectrolyte Complex Coacervates: Recent Developments and New Frontiers. Annual Review of Condensed Matter Physics, 12, pp.155-176.
Complex coacervation of statistical polyelectrolytes: Role of monomer sequences and formation of inhomogeneous coacervates
Yu, B., Rumyantsev, A.M., Jackson, N.E., Liang, H., Ting, J.M., Meng, S., Tirrell, M.V. and de Pablo, J.J., 2021. Complex coacervation of statistical polyelectrolytes: role of monomer sequences and formation of inhomogeneous coacervates. Molecular Systems Design & Engineering.
Yu, B.; Rauscher, P. M.; Jackson, N. E.; Rumyantsev, A. M.; de Pablo, J. J. Crossover from Rouse to reptation dynamics in salt-free polyelectrolyte complex coacervates. ACS Macro Lett. 2020, 9, 1318-1324. Boyuan Yu, Phillip M. Rauscher, Nicholas E. Jackson, Artem M. Rumyantsev, Juan J. de Pablo
Over what length scale does an inorganic substrate perturb the structure of a glassy organic semiconductor?
Bagchi, Kushal, et al. "Over what length scale does an inorganic substrate perturb the structure of a glassy organic semiconductor?." ACS applied materials & interfaces 12.23 (2020): 26717-26726. Kushal Bagchi, Chuting Deng, Camille Bishop, Yuhui Li, Nicholas E. Jackson, Lian Yu, M. F. Toney, J. J. de Pablo, M. D. Ediger
Jackson, Nicholas, et al. "A diversified machine learning strategy for predicting and understanding molecular melting points." (2019).
Rumyantsev, Artem M., et al. "Controlling Complex Coacervation via Random Polyelectrolyte Sequences." ACS Macro Letters 8.10 (2019): 1296-1302.
Rumyantsev, A. M.; Jackson, N. E.; Yu, B.; Ting, J.; Chen, W.; Tirrell, M. V.; de Pablo, J. J. Controlling complex coacervation via random polyelectrolyte sequences. ACS Macro Lett. 2019, 8, 1296-1302.
Juan J. de Pablo, Nicholas E. Jackson, Michael A. Webb, Long-Qing Chen, Joel E. Moore, Dane Morgan, Ryan Jacobs, Tresa Pollock, Darrell G. Schlom, Eric, S. Toberer, James Analytis, Ismaila Dabo, Dean M. DeLongchamp, Gregory A. Fiete, Gregory M. Grason, Geoffroy Hautier, Yifei Mo, Krishna Rajan, Evan J. Reed, Efrain Rodriguez, Vladan Stevanovic, Jin Suntivich, Katsuyo Thornton, Ji-Cheng Zhao. New frontiers for the materials genome initiative. npj Computational Materials. 2019. Vol. 5, Pg. 41.
Jackson, Nicholas E., et al. "Electronic structure at coarse-grained resolutions from supervised machine learning." Science advances 5.3 (2019): eaav1190.