In 2016 the Science Alliance funded nine new and three second-year JDRD projects.
First Year Projects
The following individuals received first-year JDRD funding:
Francisco Barrera
Department of Biochemistry & Cellular and Molecular Biology
Determination of protein impact on lipid nanodomains with tunable probes
Subhadeep Chakraborty
Department of Mechanical, Aerospace and Biomedical Engineering
An augmented reality setup to incorporate human factors in intelligent transportation
Brett Compton
Department of Mechanical, Aerospace and Biomedical Engineering
Additive manufacturing of bio-inspired hybrid materials for controlled neutron absorption
Anming Hu
Department of Mechanical, Aerospace and Biomedical Engineering
Laser interference lithography of silver nanoparticle and graphene quantum dot arrays for local plasmonic mediated quantum correlations
Veerle Keppens
Department of Materials Science and Engineering
Electronic and magnetic phase control of complex materials using ionic liquid gating
Anahita Khojandi
Department of Industrial and Systems Engineering
Multi-method cognitive simulators for urban dynamics
Jian Liu
Department of Physics and Astronomy
Magnetoelectric multiferroic nanocomposites–going beyond complex oxide perovskites
Liem Tran
Department of Geography
Examining the energy-water nexus through the lens of the super-network: combining water routing networks with energy production-consumption networks
Xiaopeng Zhao
Department of Mechanical, Aerospace and Biomedical Engineering
Visualization and analysis of multimodal unstructured health data: a scalable infrastructure for patient care management
Second Year Projects
The following individuals received second-year JDRD funding:
Steven Johnston
Department of Physics and Astronomy
Quantum monte carlo studies of related one-dimensional multi-orbital systems
Ramki Kalyanaraman
Department of Materials Science and Engineering
Ultrastable bimetallic thin films for plasmonic-based chemical sensing
Nicole McFarlane
Department of Electrical Engineering and Computer Sciences
CMOS Based Neutron Detection