Research Highlights
Tuning Organic Solar Cell Domain Properties
1/1/2017 | Zhenan Bao, Michael Toney
Despite having achieved the long sought-after performance of 10% power conversion efficiency, high performance organic solar cells are still constrained to small devices fabricated by spin coating. Efforts to scale up via printing lag considerably behind, revealing an extreme sensitivity to different fabrication methods.
Extreme Quantum Confinement Heterostructures
12/1/2016 | D. Bayerl, S. Islam, C. M. Jones, V. Protasenko, D. Jena, and E. Kioupakis
In conventional semiconductor quantum heterostructures such as quantum wells based on GaAs or InAs that power today’s high-speed transistors in our cell phones, or the lasers in fiber-optic communication systems that carry our emails across the globe, it is necessary to precisely tune the energy of the electrons by quantum confinement
Enlisting Synbio for Molecular Communication
11/18/2016 | Gregory Payne and William Bentley
Divergent approaches to process information: •Electronics use electrons •Biology uses ions & molecules
Extending Reverse Engineering to Biology
6/1/2016 | Gregory Payne and William Bentley
In our research, we are developing novel experimental methods to characterize the redox-properties of our thin films. These characterization methods can also be extended to probe the properties of biological materials.
Observation of Structural Phase Changes Driven by Electrostatic Gating
10/13/21 | Evan J. Reed
We predicted that 2H-to-1T’ structural phase transformations in monolayer MoTe2 can be driven by electrostatic gating. Our predictions were confirmed in the lab, where our collaborators employed ionic liquids to gate the monolayer
Machine Learning-enabled Computational Discovery of Self-assembling Biocompatible Nanoaggregates
This work establishes new understanding of oligopeptide assembly, identifies promising new candidates for experimental testing, and presents a computational design platform that can be generically extended to other peptide-based and peptide-like systems.
Data Science Uncovers Key Polymer Device Process Parameter
A dataset comprising processing information and performance metrics associated with 15 DPP-DTT based OFET devices from 15 publications was curated and analyzed.Data science guided the construction of a structure-property relationship.
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