I study and design 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 which have been aged for many years. I use 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 which controls device efficiently. To achieve ideal morphologies, an improved understanding of solubility in organic photovoltaic materials is essential. I work to identify the key aspects of these structurally complex materials which 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. I design 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. I work closely with experimentalists to validate the models I develop in simulation.
I am also the lead developer of our group’s GPU-accelerated molecular dynamics software, DASH.
Daniel grew up near Portland, Oregon. He earned his B.S. 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.
- Structural Correlations and Percolation in Twisted Perylene Diimides Using a Simple Anisotropic Coarse-Grained Model
- Aggregation and Solubility of a Model Conjugated Donor-Acceptor Polymer
- Low-temperature anomalies of a vapor deposited glass
- SSAGES: Software Suite for Advanced General Ensemble Simulations