Phase-change Materials in Electronics and Photonics

Sep 25, 2019

Collection: OnDemand Webinar Series

Type: Session

Speakers:

• Wei Zhang, Xi’an Jiaotong University
• C. David Wright, University of Exeter
• Gabriele C. Sosso, University of Warwick
• Matthias Wuttig, RWTH Aachen

Tags: metal devices phase transformation electronic material memory amorphous microelectronics bonding photonics machine learning simulation artificial intelligence nucleation and growth crystallization thermal stresses calorimetry glass

The Machine Learning Revolution in Materials Research

Sep 24, 2019

Collection: OnDemand Webinar Series

Type: Session

Speakers:

• Keith A. Brown, Boston University
• Carla Gomes, Cornell University
• Prasanna V. Balachandran, University of Virginia
• Newell Washburn, Carnegie Mellon University
• Daniel Ruscitto, GE Global Research
• Kareem Aggour, GE Global Research

Tags: nanostructure metal dielectric microstructure devices piezoelectric ferroelectric crystallographic structure electronic material alloys composite electrical properties ceramic machine learning simulation electronic structure artificial intelligence powder metallurgy scanning electron transmission microscopy STEM biomimetic assembly biological chemical synthesis coatings x-ray diffraction combinatorial synthesis data analysis autonomous research systems symbolic regression genetic programming grammar-guided genetic programming grammatical evolution mathematic formulas elemental optical metallography

Fundamental Understanding and Applications of High-Entropy Alloys

Oct 25, 2018

Collection: OnDemand Webinar Series

Type: Session

Tags: corrosion diffusion microstructure phase transformation transmission electron microscopy machine learning grain boundaries thermodynamics kinetics computational modeling twinning additive manufacturing powder metallurgy atom-probe tomography polymers

​Data-Centric Science for Materials Innovation

Sep 26, 2018

Collection: OnDemand Webinar Series

Type: Session

Speakers:

• Isao Tanaka, Kyoto University
• Krishna Rajan, University at Buffalo: the State University of New York
• Christopher Wolverton, Northwestern University
• Shyam Dwaraknath, Lawrence Berkeley National Laboratory
• Claudia Draxl, Fritz-Haber-Institut
• Muratahan Aykol, Toyota Research Institute

Tags: nanoscale nanostructure elastic properties catalytic crystallographic structure amorphous transmission electron microscopy ceramic machine learning informatics simulation electronic structure defects grain boundaries metadata artificial intelligence

Machine Learning, AI, and Data-Driven Materials Development and Design

Sep 12, 2018

Collection: OnDemand Webinar Series

Type: Session

Speakers:

• Benji Maruyama, Air Force Research Laboratory, WPAFB
• Kristofer Reyes, Assistant Professor, Department of Materials Design and Innovation, University at Buffalo
• Carla Gomes, Cornell University
• Jason Hattrick-Simpers, National Institute of Standards and Technology (NIST)

Tags: machine learning informatics artificial intelligence