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Mathew Joseph Cherukara

Assistant Scientist, Nanoscience

Machine learning; Deep neural networks, 4-D operando and ultra-fast pump-probe X-ray diffraction imaging; Bragg Coherent Diffraction Imaging (BCDI).

Biography

Education:

  • Ph.D, Computational Materials Engineering, Purdue University, 2015
  • B.Tech, M.Tech, Materials Engineering, Indian Institute of Technology (IIT) Madras, 2010

 

Research:

  • Deep autoencoder neural networks for real-time X-ray image reconstruction.
  • Machine learning techniques to accelerate data abstraction, model development and integrate imaging and modeling data.
  • 4D X-ray coherent diffraction imaging (CDI) of nanoscale materials processes at slow and ultra-fast timescales.
  • 4D Pump- X-ray probe imaging of phonon transport at the nanoscale.
  • Application areas include nanoscale corrosion, thermal management, quantum materials and nanoelectronics.