de Pablo Group

Daniel Reid

Daniel grew up near Portland, Oregon. He earned his BS in chemical engineering from Oregon State University in 2013. He joined the de Pablo group that year, where he works in modeling glassy materials. He enjoys running, biking, climbing, programming, and reading.

Daniel studies and designs a variety of amorphous materials, including ultrastable glasses, organic photovoltaics, and auxetic metamaterials. Ultrastable glasses formed by a process of physical vapor deposition display kinetic stability equivalent to glasses that have been aged for many years. Daniel uses model systems to understand how the process of vapor deposition affects the underlying structure of the glass and how this structure can be controlled. Solution-processed organic photovoltaics are a potentially low-cost alternative to traditional silicon-based solar cells. The micro-scale morphology of organic photovoltaics is one of the main factors that controls device efficiently. To achieve ideal morphologies, an improved understanding of solubility in organic photovoltaic materials is essential. Daniel works to identify the key aspects of these structurally complex materials that control solubility in order to provide necessary insight to experimentalists. When one compresses a material in one dimension, intuition predicts that the material’s sides will bow outwards. In most cases, this intuition is correct. Daniel designs materials where the opposite happens. When the material is compressed, the sides bow inwards. If the effect is pronounced enough, the materials becomes locally very hard where compressed. Daniel works closely with experimentalists to validate the models he develops in simulation.



Daniel is also the lead developer of his group’s GPU-accelerated molecular dynamics software, DASH.

Ideal isotropic auxetic networks from random networks

Reid, Daniel R., et al. "Ideal isotropic auxetic networks from random networks." arXiv preprint arXiv:1904.04359 (2019).

Structural Correlations and Percolation in Twisted Perylene Diimides Using a Simple Anisotropic Coarse-Grained Model

Bowen, Alec S., et al. "Structural Correlations and Percolation in Twisted Perylene Diimides Using a Simple Anisotropic Coarse-Grained Model." Journal of chemical theory and computation 14.12 (2018): 6495-6504.

Aggregation and Solubility of a Model Conjugated Donor–Acceptor Polymer

Reid, Daniel R., et al. "Aggregation and Solubility of a Model Conjugated Donor–Acceptor Polymer." The journal of physical chemistry letters 9.16 (2018): 4802-4807.

Auxetic metamaterials from disordered networks

Reid, Daniel R., et al. "Auxetic metamaterials from disordered networks." Proceedings of the National Academy of Sciences 115.7 (2018): E1384-E1390.

Low-temperature anomalies of a vapor deposited glass

Seoane, Beatriz, et al. "Low-temperature anomalies of a vapor deposited glass." Physical Review Materials 2.1 (2018): 015602.

Ssages: Software suite for advanced general ensemble simulations

Sidky, Hythem, et al. "Ssages: Software suite for advanced general ensemble simulations." The Journal of chemical physics 148.4 (2018): 044104.

Planarity and multiple components promote organic photovoltaic efficiency

M. Goldey, D. Reid, J. J. de Pablo, G. Galli. Planarity and multiple components promote organic photovoltaic efficiency. Phys. Chem. Chem. Phys.. 2016. Vol. 18, Pg. 31388.

Age and structure of a model vapour-deposited glass

Reid, Daniel R., et al. "Age and structure of a model vapour-deposited glass." Nature communications 7 (2016): 13062.

Planarity and multiple components promote organic photovoltaic efficiency by improving electronic transport

Goldey, Matthew B., et al. "Planarity and multiple components promote organic photovoltaic efficiency by improving electronic transport." Physical Chemistry Chemical Physics 18.46 (2016): 31388-31399.

Inherent structure energy is a good indicator of molecular mobility in glasses

Helfferich, Julian, et al. "Inherent structure energy is a good indicator of molecular mobility in glasses." Soft matter 12.27 (2016): 5898-5904.