| Autonomous design of new chemical reactions using a variational autoencoder R Tempke, T Musho Communications Chemistry 5 (1), 40, 2022 | 17 | 2022 |
| Application of a convolutional neural network for wave mode identification in a rotating detonation combustor using high-speed imaging KB Johnson, DH Ferguson, RS Tempke, AC Nix Journal of Thermal Science and Engineering Applications 13 (6), 061021, 2021 | 16 | 2021 |
| Dielectric measurement of powdery materials using a coaxial transmission line R Tempke, C Wildfire, D Shekhawat, T Musho IET Science, Measurement & Technology 14 (10), 972-978, 2020 | 12 | 2020 |
| Zeolites interactions with microwaves during methane non-oxidative coupling V Abdelsayed, D Shekhawat, RS Tempke Catalysis Today 365, 88-102, 2021 | 8 | 2021 |
| Application of a convolutional neural network for wave mode identification in a rotating detonation combustor using high-speed imaging KB Johnson, DH Ferguson, RS Tempke, AC Nix Turbo Expo: Power for Land, Sea, and Air 84133, V04BT04A020, 2020 | 7 | 2020 |
| Machine learning approach to transform scattering parameters to complex permittivities R Tempke, L Thomas, C Wildfire, D Shekhawat, T Musho Journal of Microwave Power and Electromagnetic Energy 55 (4), 287-302, 2021 | 5 | 2021 |
| Experimental Measurement of Dielectric Properties of Powdery Materials using a Coaxial Transmission Line R Tempke | 3 | 2019 |
| A machine learning model for predicting progressive crack extension based on experimental data obtained using DCPD measurement technique A Pokharel, J Keesler-Evans, R Tempke, T Musho Journal of Materials Research and Technology 24, 5687-5701, 2023 | 1 | 2023 |
| A Machine Learning Model for Predicting Progressive Crack Extension based on DCPD Fatigue Data J Keesler-Evans, A Pokharel, R Tempke, T Musho arXiv preprint arXiv:2111.08841, 2021 | 1 | 2021 |
| Prediction of material dielectric permittivity by machine learning C Ellison, R Tempke, S Pandya, D Shekhawat National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2021 | 1 | 2021 |
| Machine learning approach for transforming scattering parameters to complex permittivity R Tempke, L Thomas, C Wildfire, D Shekhawat, T Musho arXiv preprint arXiv:2007.01443, 2020 | 1 | 2020 |
| Autonomous generation of single photon emitting materials R Tempke, T Musho Nanoscale, 2024 | | 2024 |
| Artificial Intelligence based Approach for Rapid Material Discovery: From Chemical Synthesis to Quantum Materials RS Tempke West Virginia University, 2022 | | 2022 |
| Autonomous design of new chemical reactions using a variational autoencoder T Musho, R Tempke | | 2022 |
| A Machine Learning Model for Predicting Progressive Crack Extension based on Direct Current Potential Drop Fatigue Data J Keesler-Evans, A Pokharel, R Tempke, T Musho Authorea Preprints, 2021 | | 2021 |
| Microwave-Frequency Material Dielectric Properties Measurements at Elevated Temperature C Ellison, R Tempke, M Spencer, C Wildfire, T Musho, D Shekhawat National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2020 | | 2020 |
| Thermal Analysis of a High Temperature Coaxial Dielectric Test Cell RS Tempke, CN Wildfire, CR Ellison, TD Musho, D Shekhawat National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2019 | | 2019 |
| GHz Dielectric Measurement of Powdery TiO R Tempke, C Wildfire, D Shekhawat, T Musho arXiv preprint arXiv:1904.08765, 2019 | | 2019 |
| Dielectric Property Testing of Powdery Materials: A Standardized Paraffin Composite Method RS Tempke, CN Wildfire, TD Musho, D Shekhawat National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2018 | | 2018 |
| Morphology effect of oxide particles for microwave applications D Shekhawat, CN Wildfire, E Sabolsky, T Musho, R Tempke, M Spencer National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV …, 2018 | | 2018 |
