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Impressive computational acceleration by using machine learning for 2-dimensional super-lubricant materials discovery
Fronzi, M
;
Ghazaleh, MA
;
Isayev, O
;
Winkler, DA
;
Shapter, J
;
Ford, MJ
2020-01-01
High Throughput Screening of Millions of van der Waals Heterostructures for Superlubricant Applications
Fronzi, M
;
Tawfik, SA
;
Ghazaleh, MA
;
Isayev, O
;
Winkler, DA
;
Shapter, J
;
Ford, MJ
2021-08-22
Active Learning in Bayesian Neural Networks for Bandgap Predictions of Novel Van der Waals Heterostructures
Fronzi, M
;
Isayev, O
;
Winkler, DA
;
Shapter, JG
;
Ellis, AV
;
Sherrell, PC
;
Shepelin, NA
;
Corletto, A
;
Ford, MJ
2022-09
Energy Interplay in Materials: Unlocking Next-Generation Synchronous Multisource Energy Conversion with Layered 2D Crystals.
Corletto, A
;
Ellis, AV
;
Shepelin, NA
;
Fronzi, M
;
Winkler, DA
;
Shapter, JG
;
Sherrell, PC
2022-01-24
A bright future for engineering piezoelectric 2D crystals.
Sherrell, PC
;
Fronzi, M
;
Shepelin, NA
;
Corletto, A
;
Winkler, DA
;
Ford, M
;
Shapter, JG
;
Ellis, AV
2019-01-01
Efficient Prediction of Structural and Electronic Properties of Hybrid 2D Materials Using Complementary DFT and Machine Learning Approaches
Tawfik, SA
;
Isayev, O
;
Stampfl, C
;
Shapter, J
;
Winkler, DA
;
Ford, MJ
2023-01-01
A Predictive Model for Monolayer-Selective Metal-Mediated MoS<inf>2</inf> Exfoliation Incorporating Electrostatics
Corletto, A
;
Fronzi, M
;
Joannidis, AK
;
Sherrell, PC
;
Ford, MJ
;
Winkler, DA
;
Shapter, JG
;
Bullock, J
;
Ellis, AV
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