December 1 - 6, 2019
Boston, Massachusetts
2019 MRS Fall Meeting
MT02.12.09
Predicting Carbon Nanotube Forest Synthesis-Structure-Property Relationships Using Physics-Based Simulation and Deep Learning
Predicting Carbon Nanotube Forest Synthesis-Structure-Property Relationships Using Physics-Based Simulation and Deep Learning
When and Where
Dec 5, 2019
8:00pm - 10:00pm
8:00pm - 10:00pm
Hynes, Level 1, Hall B
Presenter(s)
Co-Author(s)
Taher Hajilounezhad1,Zakariya Oraibi1,Ramakrishna Surya2,Filiz Bunyak1,Kannappan Palaniappan1,Prasad Calyam1,Matthew R. Maschmann1
University of Missouri-Columbia1,University of Cincinnati2
Keywords
nucleation & growth
Symposium Organizers
Jason Hattrick-Simpers, National Institute of Standards and Technology
Barnabas Poczos, Carnegie Mellon University
Markus Reiher, ETH Zurich
Aleksandra Vojvodic, University of Pennsylvania
Symposium Support
Bronze
Machine Learning: Science and Technology | IOP Publishing
Matter & Patterns | Cell Press
Machine Learning: Science and Technology | IOP Publishing
Matter & Patterns | Cell Press
Session Chairs
Jason Hattrick-Simpers
Barnabas Poczos
Aleksandra Vojvodic