Theory, computational, semi-empirical quantum chemistry, electronic structure theory, materials theory, photophysics, spectroscopy, machine learning
A central goal of our research is to develop a reliable, semi-empirical quantum chemistry approach to the excited electronic states of conjugated polymers, and to use this to predict structure-property relationships of relevance to device design. Our techniques have greatly expanded the questions that can be addressed with the INDO (Intermediate Neglect of Differential Overlap) method. These include a dielectric model that provides the first consistent theory of both the neutral and charged excited states, and computational optimizations that allow calculations on ensembles of disordered structures, such that we can model amorphous materials.
We have also begun development of new approaches to semi-empirical quantum chemistry that use machine learning to take better advantage of molecular similarity. We first create a set of ab initio data containing detailed data on how a functional group behaves in a hundreds of different chemical environments. The challenge is extracting from this data, sufficient information to predict its behavior in a new environment.
|2013–present||Professor, Carnegie Mellon University|
|1998–2013||Associate Professor, Carnegie Mellon University|
|1992–1998||Assistant Professor, Carnegie Mellon University|
|1990–1992||Postdoctoral Fellow, MIT|
|1990||Ph.D., Harvard University|
|2017||Teaching Innovation Award, Carnegie Mellon University|
|2004||Award for Excellence: Post-secondary Educator
Carnegie Science Center Pittsburgh
|2003||Classics Award for Best Learning Object in Chemistry
Editor’s Choice for Exemplary Learning Object in any domain
Merlot Digital Library
|2001||Julius Ashkin Teaching Award
Mellon College of Science, Carnegie Mellon
|2000||Henry Dreyfus Teacher-Scholar Award
The Camile and Henry Dreyfus Foundation
Ecole Normale Superieure de Cachan, France
A.L. Stadler, B.R. Renikuntla, D. Yaron, A.S. Fang, B.A. Armitage, "Substituent Effects on the Assembly of Helical Cyanine Dye Aggregates in the Minor Groove of a DNA Template", Langmuir, (in press).
Angela Liu and David Yaron, "Modeling outer-sphere disorder in the symmetry breaking of PPV", J. Chem. Phys. 130, 154701 (2009).
Nicolae M. Albu, Edward Bergin and David J. Yaron, "Computational design of light driven molecular motors", J. Phys. Chem. A 113, 7090 (2009).
V. Ediz, A. J. Monda, R. P. Brown, and D. J. Yaron, "Using Molecular Similarity to Develop Reliable Models of Chemical Reactions in Complex Environments", J. Chem. Comp. and Theory 5, 3175 (2009).
Volkan Ediz, Jihoon L. Lee, Bruce A. Armitage, and David Yaron, "Molecular Engineering of Torsional Potentials in Fluorogenic Dyes via Electronic Substituent Effects", J. Phys. Chem. A 112, 9692-9701 (2008).
G. L. Silva, V. Ediz, D. Yaron, and B. A. Armitage, "Experimental and Computational Investigation of Unsymmetrical Cyanine Dyes: Understanding Torsionally Responsive Fluorogenic Dyes", J. Am. Chem. Soc. 129(17), 5710-5718 (2007).
L. Liu, D. Yaron, and M. A. Berg, "Electron-phonon coupling in phenyleneethynylene oligomers: A nonlinear one-dimensional configuration-coordinate model", J. of Phys. Chem. C 111(15), 5770-5782 (2007).
Aimee Tomlinson, Brian Frezza, Matt Kofke, Bruce Armitage, and David Yaron, "A Structural Model for Cyanine Dyes Templated into the Minor Groove of DNA", Chem. Phys. 325, 36-47 (2006).
B.G. Janesko and D. Yaron, "Functional group basis sets", Journal of Chemical Theory and Computation 1, 267-278 (2005).
Yaron, D., Karabinos, M., Lange, D., Greeno, J. G. and Leinhardt, G. "The ChemCollective: Virtual labs and online activities for introductory chemistry courses" Science 328, 584-585 (2010).