Michael J. Ford

Publication Activity (10 Years)

Years Active: 2004-2021
Publications (10 Years): 4

Top Topics

Active Learning

Computational Chemistry

Location Estimation

Top Venues

IEEE Robotics Autom. Lett.

J. Comput. Chem.

Publications

Marco Fronzi, Olexandr Isayev, David A. Winkler, Joseph G. Shapter, Amanda V. Ellis, Peter C. Sherrell, Nick A. Shepelin, Alexander Corletto, Michael J. Ford
Active Learning in Bayesian Neural Networks for Bandgap Predictions of Novel Van der Waals Heterostructures. Adv. Intell. Syst. 3 (11) (2021)
Musen Li, Jeffrey R. Reimers, Michael J. Ford, Rika Kobayashi, Roger D. Amos
Accurate prediction of the properties of materials using the CAM-B3LYP density functional. J. Comput. Chem. 42 (21) (2021)
Tess Lee Hellebrekers, Nadine Chang, Keene Chin, Michael J. Ford, Oliver Kroemer, Carmel Majidi
Soft Magnetic Tactile Skin for Continuous Force and Location Estimation Using Neural Networks. IEEE Robotics Autom. Lett. 5 (3) (2020)
Marco Fronzi, Mutaz Abu Ghazaleh, Olexandr Isayev, David A. Winkler, Joe Shapter, Michael J. Ford
Impressive computational acceleration by using machine learning for 2-dimensional super-lubricant materials discovery. CoRR (2019)
Ellen McCallie, Christopher Hoadley, Michael J. Ford
Writing Competitive Proposals for Programs in NSF's Division of Research in Learning in Formal and Informal Settings. ICLS (2014)
Michael J. Ford
Diverse Descriptions of Experimental Practice as Supports for Learning. ICLS (2004)