| Architectured lattice materials with tunable anisotropy: design and analysis of the material property space with the aid of machine learning R Kulagin, Y Beygelzimer, Y Estrin, A Schumilin, P Gumbsch Advanced Engineering Materials 22 (12), 2001069, 2020 | 37 | 2020 |
| Towards ontology-based network model management and data integration for smart grids A Schumilin, KU Stucky, F Sinn, V Hagenmeyer 2017 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems …, 2017 | 14 | 2017 |
| A consistent view of the smart grid: Bridging the gap between IEC CIM and IEC 61850 A Schumilin, C Duepmeier, KU Stucky, V Hagenmeyer 2018 44th Euromicro Conference on Software Engineering and Advanced …, 2018 | 11 | 2018 |
| Semantic CIM2Matpower: Ontology-based network topology processor and converter for CIM node-breaker models A Schumilin, HK Çakmak, KU Stucky, C Duepmeier, V Hagenmeyer 2019 IEEE 7th International Conference on Smart Energy Grid Engineering …, 2019 | 5 | 2019 |
| Learning a cross-lingual semantic representation of relations expressed in text A Rettinger, A Schumilin, S Thoma, B Ell The Semantic Web. Latest Advances and New Domains: 12th European Semantic …, 2015 | 5 | 2015 |
| Semantic CIM2Matpower: Ontology-Based Network Topology Processor and Converter for CIM Node-Breaker Models [in press] A Schumilin, HK Çakmak, KU Stucky, C Düpmeier, V Hagenmeyer 7th Smart Energy Grid Engineering (SEGE), Oshawa, Kanada, 12-14 August 2019, 2019 | | 2019 |
