Browsing byAuthorWinkler, DA
Showing results 1 to 7 of 7
| Issue Date | Title | Author(s) |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| - | 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 |
