Broader Impacts :

1. High-Throughput Measurements for High-Fidelity Thermodynamic DatabasesJi-Cheng Zhao, The Ohio State University, DMR 0804833 We are developing micron-resolution materials property microscopy (MPM) tools for effective measurements of thermal conductivity, heat capacity, elastic modulus, and magnetic properties. These tools together with diffusion-multiples can provide much-needed phase diagram, diffusivity, and materials property data for rapid establishment of databases, effective testing of theories, and faster discovery of new materials.

2. High-Throughput Measurements for High-Fidelity Thermodynamic DatabasesJi-Cheng Zhao, The Ohio State University, DMR 0804833 Services: • Performed thermal conductivity and specific heat capacity mapping for GE on Ti diffusion multiples; • Designed and made diffusion multiples for Carpenter Technology Corporation (Reading, PA) to study the R phase stability in advanced steels; • Designed and made diffusion multiple for GM to perform localized property mapping on Al-Mg-Gd & Mg-Gd-Sn systems to expand the approach to both Al and Mg alloys; and • Obtained funding from Outokumpu (Sweden) to use diffusion multiples to study phase stability in the Fe-Cr-Ni system at intermediate temperatures. Education: • Delivered a keynote talk at Gordon Research Seminar on Physical Metallurgy for graduate students and postdocs and many other talks to introduce the methods to the materials community; • Mentored Christopher Eastman to get a M.S. degrees (now works at Timken Co.) and John Kuper– he is now pursuing his Ph.D. in PI’s group. • Made a significant effort to include the new tools in PI’s courses at OSU. Broader Impacts: The tools developed under this NSF project will be a very important part of the experimental tools for the Materials Innovation Infrastructure in the newly announced Materials Genome Initiative (MGI) for accelerated design of new materials. Applications of these tools on diffusion multiples are extremely effective in constructing composition-phase-structure-property relationships for materials informatics, testing of materials theories and designing new materials. These materials property microscopy tools may become as widely used as SEM, thus reshaping the way experimental materials research is performed in the future.