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2016 JDRD Awards

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

 

 

 

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