[23] | Spatiotemporal super-resolution forecasting of high-speed turbulent flows (Sofos, Filippos (Φὶλιππoς Σoϕός), Drikakis, Dimitris (Δημήτρης Δρικάκης), Kokkinakis, Ioannis William (Iωάννης Koκκινάκης) and Spottswood, S. Michael), In Physics of Fluids, volume 37, 2025. |
[22] | Comparison of super-resolution deep learning models for flow imaging (Filippos Sofos, Dimitris Drikakis and Ioannis William Kokkinakis), In Computers & Fluids, volume 283, 2024. |
[21] | A hybrid molecular dynamics/machine learning framework to calculate the viscosity and thermal conductivity of Ar, Kr, Xe, O, and Ν (Stavrogiannis, Christos, Tsioulos, Vasilis and Sofos, Filippos), In Applied Research, 2024. |
[20] | Deep learning architecture for sparse and noisy turbulent flow data (Sofos Filippos, Drikakis Dimitris, Kokkinakis Ioannis William), In Physics of Fluids, volume 36, 2024. |
[19] | Ultra-scaled deep learning temperature reconstruction in turbulent airflow ventilation (Sofos Filippos, Drikakis Dimitris, Kokkinakis Ioannis William), In Physics of Fluids, volume 36, 2024. |
[18] | Twofold Machine-Learning and Molecular Dynamics: A Computational Framework (Stavrogiannis Christos, Sofos Filippos, Sagri Maria, Vavougios Denis, Karakasidis Theodoros E.), In Computers, volume 13, 2024. |
[17] | Effects of channel size, wall wettability, and electric field strength on ion removal from water in nanochannels (Sofos, F., Karakasidis, T.E. & Sarris, I.E.), In Scientific Reports volume, volume 12, 2022. |
[16] | A combined clustering/symbolic regression framework for fluid property prediction (Sofos,Filippos, Charakopoulos,Avraam, Papastamatiou,Konstantinos and Karakasidis,Theodoros E), In Physics of Fluids, volume 34, 2022. |
[15] | Reynolds number effect of the turbulent micropolar channel flow (Sofiadis,G. and Sarris,I.), In Physics of Fluids, volume 34, 2022. |
[14] | Calculating Material Properties with Purely Data-Driven Methods: From Clusters to Symbolic Expressions (Papastamatiou Konstantinos, Sofos Filippos, Karakasidis Theodoros E.), In Proceedings of the 12th Hellenic Conference on Artificial Intelligence, Association for Computing Machinery, 2022. |
[13] | The Electrical Conductivity of Ionic Liquids: Numerical and Analytical Machine Learning Approaches (Karakasidis, Theodoros E., Sofos, Filippos and Tsonos, Christos), In Fluids, volume 7, 2022. |
[12] | Investigation of water desalination/purification with molecular dynamics and machine learning techniques (Christos Stavrogiannis, Filippos Sofos, Theodoros. E. Karakasidis, Denis Vavougios), In AIMS Materials Science, volume 9, 2022. |
[11] | Investigation of transient heat transfer in multi-scale PCM composites using a semi-analytical model (Adam Dobri, A. Tsiantis, T.D. Papathanasiou, Yanwei Wang), In International Journal of Heat and Mass Transfer, volume 175, 2021. |
[10] | Linear harmonic oscillatory rarefied gas flow with arbitrary frequency in comb finger blocks (Alexandros Tsimpoukis, Dimitris Valougeorgis), In Sensors and Actuators A: Physical, volume 331, 2021. |
[9] | Pressure and temperature driven fully-developed rarefied gas flow in a channel with uniform injection/suction through its permeable walls (Nikos Vasileiadis, Giorgos Tatsios, Dimitris Valougeorgis), In Vacuum, volume 188, 2021. |
[8] | Oscillatory pressure-driven rarefied binary gas mixture flow between parallel plates (Tsimpoukis, Alexandros, Naris, Steryios and Valougeorgis, Dimitris), In Phys. Rev. E, volume 103, 2021. |
[7] | From flakes to ribbons: The barrier factor of composites containing flakes of rectangular shape (Andreas Tsiantis, Yanwei Wang, Xianbo Huang and TD Papathanasiou), In Journal of Composite Materials, SAGE Publications Sage UK: London, England, volume 0, 2021. |
[6] | A Water/Ion Separation Device: Theoretical and Numerical Investigation (F. Sofos), In Appl. Sci., volume 11, 2021. |
[5] | Transient heat transfer in fibrous multi-scale composites: A semi-analytical model and its numerical validation (Adam Dobri, Yanwei Wang, T. D. Papathanasiou), In Numerical Heat Transfer, Part A: Applications, volume 77, 2020. |
[4] | Περιοδική ταλαντωτική ροή αερίου σε κινούμενη μικροδιάταξη τύπου comb (Α. Τσιμπούκης, Δ. Βαλουγεώργης), In 11o Πανελλήνιο Συνέδριο Φαινόμενα Ροής Ρευστών, volume , 2018. |
[3] | DIANA-miRGen v3.0: accurate characterization of microRNA promoters and their regulators (Georgakilas, Georgios, Vlachos, Ioannis S., Zagganas, Konstantinos, Vergoulis, Thanasis, Paraskevopoulou, Maria D., Kanellos, Ilias, Tsanakas, Panayiotis, Dellis, Dimitris, Fevgas, Athanasios, Dalamagas, Theodore and Hatzigeorgiou, Artemis G.), In Nucleic Acids Research, volume 44, 2016. |
[2] | DIANA-LncBase v2: indexing microRNA targets on non-coding transcripts (Paraskevopoulou, Maria D., Vlachos, Ioannis S., Karagkouni, Dimitra, Georgakilas, Georgios, Kanellos, Ilias, Vergoulis, Thanasis, Zagganas, Konstantinos, Tsanakas, Panayiotis, Floros, Evangelos, Dalamagas, Theodore and Hatzigeorgiou, Artemis G.), In Nucleic Acids Research, volume 44, 2016. |
[1] | DIANA-mirExTra v2.0: Uncovering microRNAs and transcription factors with crucial roles in NGS expression data (Vlachos Ioannis S., Vergoulis Thanasis, Paraskevopoulou Maria D., Lykokanellos Filopoimin, Georgakilas Georgios, Georgiou Penny, Chatzopoulos Serafeim, Karagkouni Dimitra, Christodoulou Foteini, Dalamagas Theodore, Hatzigeorgiou Artemis G.), In Nucleic Acids Research, volume 44, 2016. |