October 14, 2019 UMD Home FabLab AIMLab



The 4th Annual Machine Learning for Materials Research Bootcamp and Workshop on Autonomous Materials Research was held on the University of Maryland (UMD) campus August 5 - 9. Organized by Materials Science and Engineering (MSE) Professor Ichiro Takeuchi and A. Gilad Kusne, a NIST Researcher and MSE Adjunct Associate Professor, the curriculum consisted of lectures and python-based, hands-on exercises using Jupyter notebooks. Sessions included unsupervised machine learning, supervised machine learning, and mining of databases. Lecturers also demonstrated how they performed recently published research, from loading and preprocessing data to analyzing and visualizing results. Day four also included hand-on exercises on how to use the AFLOW database online. A highlight of the camp is the poster session entitled, "Machine Learn This!" held Wednesday evening the week of camp.

"This year, we added Gaussian processes and active learning as a new lecture," said Takeuchi. "We also had the Symposium on Autonomous Materials Research on Friday where invited speakers presented their latest work on algorithm controlled experiments and robot science."

Bootcamp Instructors included Alex Belianinov of Oak Ridge National Laboratory, Dan Samarov of NIST, Cormac Toher of Duke University, and Valentin Stanev, an MSE Associate Research Scientist at UMD. Roughly 200 attendees from 9 countries, ranging from high school students to postdocs, faculty, and professional industry researchers have attended the camps thus far. The Bootcamp is sponsored by UMD and NIST.

For more camp information, and future camp dates, please visit https://www.nanocenter.umd.edu/events/mlmr/



August 18, 2019


«Previous Story  

 

 

Current Headlines

Clark School Professor Elected 2019 APS Fellows

UMD Graduate Student Kang-Yi Lin Receives 2019 ALD/ALE Award

NSF Awards $1M Grant to UMD Researchers

Ghodssi Receives Senior Faculty Outstanding Research Award

University of Maryland Launches Quantum Technology Center

Mapping Nucleation Kinetics with Nanometer Resolution

MEI² Receives Two New Innovative Vehicle Technology Awards

UMD Hosts 4th Annual Machine Learning Bootcamp and Workshop

UMD Alumna Receives PECASE Award, Highest Honor Given by U.S. Government to Early Career Scientists

High Temperature Thermal Shocks Increase Stability of Single Atom Catalysts

 

Colleges A. James Clark School of Engineering
The College of Computer, Mathematical, and Natural Sciences

Communicate Contact Us
Contact the Webmaster
Google+
Follow us on TwitterTwitter logo

Links Privacy Policy
Sitemap
RSS

Copyright The University of Maryland University of Maryland
2004-2019