The 2020 motile active matter roadmap G Gompper, RG Winkler, T Speck, A Solon, C Nardini, F Peruani, ... Journal of Physics: Condensed Matter 32 (19), 193001, 2020 | 417 | 2020 |
Reinforcement learning with artificial microswimmers S Muiños-Landin, A Fisher, V Holubek, F Cichos Science Robotics 6 (52), 2021 | 124 | 2021 |
Identification of a possible superconducting transition above room temperature in natural graphite crystals CE Precker, PD Esquinazi, A Champi, J Barzola-Quiquia, M Zoraghi, ... New Journal of Physics 18 (11), 113041, 2016 | 79 | 2016 |
Fully Steerable Symmetric Thermoplasmonic Microswimmers M Fränzl, S Muiños-Landin, V Holubec, F Cichos ACS nano 15 (2), 3434-3440, 2021 | 34 | 2021 |
Self-Propulsion of Janus Particles near a Brush-Functionalized Substrate M Heidari, A Bregulla, SM Landin, F Cichos, R von Klitzing Langmuir 36 (27), 7775-7780, 2020 | 23 | 2020 |
Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence Y Zheng, Z Wu Elsevier, 2022 | 7 | 2022 |
Generative design for Social Manufacturing C González-Val, S Muiños-Landin https://zenodo.org/record/4597558#.Yp2zy4XP2Uk, 2020 | 6 | 2020 |
Materials for design open repository. High entropy alloys. Zenodo CE Precker, A Gregores Coto, S Muíños-Landín | 2 | 2021 |
Hartmut L öwen and Ramin Golestanian and U Benjamin Kaupp and Luis Alvarez and Thomas Kiørboe and Eric Lauga and Wilson CK Poon and Antonio DeSimone and Santiago Muinos-Landin … G Gompper, RG Winkler, T Speck, A Solon, C Nardini, F Peruani Journal Of Physics: Condensed Matter 32, 193001, 2020 | 2 | 2020 |
Artificial intelligence (AI) enhanced nanomotors and active matter F Cichos, SM Landin, R Pradip Intelligent Nanotechnology, 113-144, 2023 | 1 | 2023 |
Reinforcement Learning-Based Approaches in Manufacturing Environments A Fernández Martínez, C González-Val, DG Martín, AB López, JAS Muros, ... Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and …, 2024 | | 2024 |
Reinforcement learning-based DSS for coagulant and disinfectant dosage selection on drinking water treatment plants A Álvarez Díez, R Pena Rois, I Mocanu, C Orzan, C Brebenel, J Stere, ... Water Supply 24 (1), 86-102, 2024 | | 2024 |
The use of generative models to speed up the discovery of materials AG Coto, CE Precker, T Andersson, A Laukkanen, T Suhonen, ... Computer Methods in Materials Science 23 (1), 14, 2023 | | 2023 |
Artificial Intelligence enhanced nanomotors and active matters RP Frank Cichos, Santiago Muiños-Landin Intelligent Nanotechnology Merging Nanoscience and Artificial Intelligence, 2022 | | 2022 |
Database and Expert Systems Applications-DEXA 2022 Workshops: 33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022, Proceedings G Kotsis, AM Tjoa, I Khalil, B Moser, A Taudes, A Mashkoor, J Sametinger, ... Springer Nature, 2022 | | 2022 |
Towards the Digitalization of Additive Manufacturing C González-Val, CE Precker, S Muíños-Landín Database and Expert Systems Applications-DEXA 2022 Workshops: 33rd …, 2022 | | 2022 |
GAN-based data augmentation for crack detection A Botana-López, D Gordo-Martín, J Otero-Tranchero, A Alonso-Rial, ... https://doi.org/10.5281/zenodo.7074639, 2021 | | 2021 |
Generative Adversarial Networks for Generation of Synthetic High Entropy Alloys CE Eike Precker, A Gregores-Coto, S Muiños-Landin https://doi.org/10.5281/zenodo.5582109, 2021 | | 2021 |
Reinforcement learning with a single microswimmer S Muiños-Landin, A Fischer, V Holubec, F Cichos Emerging Topics in Artificial Intelligence 2020 11469, 114690Z, 2020 | | 2020 |
Aprendizaje por refuerzo en sistemas microscópicos S Muiños-Landin, F Cichos WGML 2019, 12, 2019 | | 2019 |