Experiment & Simulation

Data Analytics

Collaborative Research Science

Big Data

Surya Kalidindi’s MINED research has been pushing the boundaries of Materials Informatics (ie. data-driven materials and manufacturing design) for nearly a decade. MINED research promises to reduce the time and cost in the innovation of new and improved materials for applied engineering applications.

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Materials Informatics

Materials Science

MINED is looking for novel and creative ways to populate the Big Data ecosystem for materials science. MINED augments the traditional research paradigm with a modern flavor of modern web skills & machine learning to forge a path for data science in materials discovery.

Big Data

High temperature ablation space shuttle ablation panels. 3-D imaging of fiber failure mechanics of ceramic matrix composites at 2100C in a laboratory environment. Generated at Berkeley University and Lawrence Livermore National Labs

Big Data

16 Terabytes of information from a Synchrotron Light Source exploring the evolution of metals in an Aluminum Copper solid solution at elevated temperatures over time. Generated by researchers at Argonne National Labs and Northwestern University.

High Throughput Experiments

Sample

Indenter tip

SEM pole piece

EBSD detector

19m 4.5s30s

Data Science is fueled by data and MINED wants to assist in generating more of it. Experimental data is mission critical to materials design. MINED designs new methods and acquisition techniques to improve data capture throughput

Compressed Sensing

Diversity

Independent

Curious

Hard Working

Innovative.gatech.edu