All Stories

  1. Interpretable machine learning via symbolic classification of radiomic texture and morphological features for pediatric pneumonia detection from chest X-rays

    Article • PLOS One, June 2026, PLOS

    Dr. Filippos Sofos

  2. DNS-Calibrated Physics-Informed Neural Networks with Learnable Constants for Reynolds Number Extrapolation in Turbulent Channel Flows

    Article • Applied Sciences, April 2026, MDPI AG

    Dr. Filippos Sofos

  3. Prediction of neutral gas pressure in Wendelstein 7-X: Statistical analysis and machine learning

    Article • Physics of Plasmas, January 2026, American Institute of Physics

    Dr. Filippos Sofos, Theodoros Karakasidis

  4. Combined machine learning approaches to predict the thermal conductivity of liquid mixtures

    Article • Science and Technology for Energy Transition, January 2026, EDP Sciences

    Dr. Filippos Sofos

  5. Reconstructing turbulence: A deep learning–enhanced interpolation approach

    Article • Physica D Nonlinear Phenomena, December 2025, Elsevier

    Dr. Filippos Sofos

  6. Advancing Fluid Mechanics with Artificial Intelligence and Machine Learning

    Article • Fluids, November 2025, MDPI AG

    Dr. Filippos Sofos

  7. Turbulent channel flow: A physics-informed neural network approach with embedded parameter optimization

    Article • Physics of Fluids, November 2025, American Institute of Physics

    Dr. Filippos Sofos

  8. Physically Consistent Self-Diffusion Coefficient Calculation with Molecular Dynamics and Symbolic Regression

    Article • International Journal of Molecular Sciences, July 2025, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  9. Data driven prediction of the neutral gas pressure in the stellarator Wendelstein 7-X

    Article • Plasma Physics and Controlled Fusion, June 2025, Institute of Physics Publishing

    Dr. Filippos Sofos, Theodoros Karakasidis

  10. A review of deep learning for super-resolution in fluid flows

    Article • Physics of Fluids, April 2025, American Institute of Physics

    Dr. Filippos Sofos

  11. Advancing super-resolution of turbulent velocity fields: An artificial intelligence approach

    Article • Physics of Fluids, March 2025, American Institute of Physics

    Dr. Filippos Sofos

  12. Spatiotemporal super-resolution forecasting of high-speed turbulent flows

    Article • Physics of Fluids, January 2025, American Institute of Physics

    Dr. Filippos Sofos

  13. Enhancing indoor temperature mapping: High-resolution insights through deep learning and computational fluid dynamics

    Article • Physics of Fluids, January 2025, American Institute of Physics

    Dr. Filippos Sofos

  14. Comparison of super-resolution deep learning models for flow imaging

    Article • Computers & Fluids, October 2024, Elsevier

    Dr. Filippos Sofos

  15. Refining Flow Structures with Deep Learning and Super Resolution Methods

    Article • September 2024, ACM (Association for Computing Machinery)

    Dr. Filippos Sofos

  16. Turbulent Micropolar Open-Channel Flow

    Article • Fluids, August 2024, MDPI AG

    Dr. Filippos Sofos

  17. Ultra-scaled deep learning temperature reconstruction in turbulent airflow ventilation

    Article • Physics of Fluids, June 2024, American Institute of Physics

    Dr. Filippos Sofos

  18. From Sparse to Dense Representations in Open Channel Flow Images with Convolutional Neural Networks

    Article • Inventions, March 2024, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  19. Deep learning architecture for sparse and noisy turbulent flow data

    Article • Physics of Fluids, March 2024, American Institute of Physics

    Dr. Filippos Sofos

  20. A deep learning super-resolution model for turbulent image upscaling and its application to shock wave–boundary layer interaction

    Article • Physics of Fluids, February 2024, American Institute of Physics

    Dr. Filippos Sofos

  21. The application of data science and machine learning techniques in predicting the compressive strength of confined concrete

    Article • Technical Annals, January 2024, National Documentation Centre

    Dr. Filippos Sofos, Theodoros Karakasidis

  22. Reassessing the transport properties of fluids: A symbolic regression approach

    Article • January 2024, American Physical Society (APS)

    Dr. Filippos Sofos, Theodoros Karakasidis

  23. A hybrid molecular dynamics/machine learning framework to calculate the viscosity and thermal conductivity of Ar, Kr, Xe, O and Ν

    Article • Applied Research, January 2024, Wiley

    Dr. Filippos Sofos

  24. Twofold Machine-Learning and Molecular Dynamics: A Computational Framework

    Article • Computers, December 2023, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  25. The Educational Role of Cinema in Physical Sciences

    Article • November 2023, IgMin Publications Inc.

    Dr. Filippos Sofos, Richard (Ricky) Smith Jr.

  26. Convolutional neural networks for compressible turbulent flow reconstruction

    Article • Physics of Fluids, November 2023, American Institute of Physics

    Dr. Filippos Sofos

  27. Can Artificial Intelligence Accelerate Fluid Mechanics Research?

    Article • Fluids, July 2023, MDPI AG

    Dr. Filippos Sofos

  28. Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods

    Article • Micromachines, July 2023, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  29. Impact of an inclined magnetic field on couple stress fluid flow over a stretching surface with effect of Stefan blowing, radiation and chemical reaction

    Article • Journal of Magnetism and Magnetic Materials, June 2023, Elsevier

    Dr. Filippos Sofos

  30. Adaptive thermal comfort model and active occupant behaviour in a mixed-mode apartment. A synergy to sustainability.

    Article • IOP Conference Series Earth and Environmental Science, June 2023, Institute of Physics Publishing

    Dr. Filippos Sofos

  31. Smoothed Particle Hydrodynamics-Based Study of 3D Confined Microflows

    Article • Fluids, April 2023, MDPI AG

    Dr. Filippos Sofos

  32. Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives

    Article • Archives of Computational Methods in Engineering, April 2023, Springer Science + Business Media

    Dr. Filippos Sofos

  33. Influence of carbon nanotube suspensions on Casson fluid flow over a permeable shrinking membrane: an analytical approach

    Article • Scientific Reports, February 2023, Springer Science + Business Media

    Dr. Filippos Sofos

  34. Fiber-Reinforced Polymer Confined Concrete: Data-Driven Predictions of Compressive Strength Utilizing Machine Learning Techniques

    Article • Applied Sciences, December 2022, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  35. Thermosolutal Marangoni Convection for Hybrid Nanofluid Models: An Analytical Approach

    Article • Physics, December 2022, MDPI AG

    Dr. Filippos Sofos

  36. Analytical investigation of an incompressible viscous laminar Casson fluid flow past a stretching/shrinking sheet

    Article • Scientific Reports, November 2022, Springer Science + Business Media

    Dr. Filippos Sofos

  37. The Electrical Conductivity of Ionic Liquids: Numerical and Analytical Machine Learning Approaches

    Article • Fluids, October 2022, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  38. Applying new methodologies in order to extrapolate new insights

    Article • September 2022, ACM (Association for Computing Machinery)

    Theodoros Karakasidis, Konstantinos Papastamatiou, Dr. Filippos Sofos

  39. A combined clustering/symbolic regression framework for fluid property prediction

    Article • Physics of Fluids, June 2022, American Institute of Physics

    Dr. Filippos Sofos, Theodoros Karakasidis

  40. Current Trends in Fluid Research in the Era of Artificial Intelligence: A Review

    Article • Fluids, March 2022, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  41. Machine learning symbolic equations for diffusion with physics-based descriptions

    Article • AIP Advances, February 2022, American Institute of Physics

    Dr. Filippos Sofos, Theodoros Karakasidis

  42. Effects of channel size, wall wettability, and electric field strength on ion removal from water in nanochannels

    Article • Scientific Reports, January 2022, Springer Science + Business Media

    Dr. Filippos Sofos

  43. Investigation of water desalination/purification with molecular dynamics and machine learning techniques

    Article • AIMS Biophysics, January 2022, American Institute of Mathematical Sciences (AIMS)

    Dr. Filippos Sofos

  44. A Water/Ion Separation Device: Theoretical and Numerical Investigation

    Article • Applied Sciences, September 2021, MDPI AG

    Dr. Filippos Sofos

  45. Nanoscale slip length prediction with machine learning tools

    Article • Scientific Reports, June 2021, Springer Science + Business Media

    Dr. Filippos Sofos

  46. An assessment of SPH simulations of sudden expansion/contraction 3-D channel flows

    Article • Computational Particle Mechanics, March 2021, Springer Science + Business Media

    Dr. Filippos Sofos

  47. Machine Learning Techniques for Fluid Flows at the Nanoscale

    Article • Fluids, March 2021, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  48. Molecular Dynamics Simulations of Ion Drift in Nanochannel Water Flow

    Article • Nanomaterials, November 2020, MDPI AG

    Dr. Filippos Sofos, Theodoros Karakasidis

  49. Teaching cinema with machinima

    Article • International Journal of Arts and Technology, January 2020, Inderscience Publishers

    Dr. Filippos Sofos

  50. Molecular dynamics simulations of ion separation in nano-channel water flows using an electric field

    Article • Molecular Simulation, July 2019, Taylor & Francis

    Theodoros Karakasidis, Dr. Filippos Sofos

  51. Particle-based modeling and meshless simulation of flows with Smoothed Particle Hydrodynamics

    Article • Global NEST Journal, June 2019, University of the Aegean

    Dr. Filippos Sofos

  52. Multi-parameter analysis of water flows in nanochannels

    Article • January 2018, Desalination Publications

    Dr. Filippos Sofos

  53. Darcy-Weisbach friction factor at the nanoscale: From atomistic calculations to continuum models

    Article • Physics of Fluids, May 2017, American Institute of Physics

    Theodoros Karakasidis, Dr. Filippos Sofos

  54. Friction factor in nanochannel flows

    Article • Microfluidics and Nanofluidics, January 2016, Springer Science + Business Media

    Theodoros Karakasidis, Dr. Filippos Sofos

  55. Molecular dynamics simulation on flows in nano-ribbed and nano-grooved channels

    Article • Heat and Mass Transfer, June 2015, Springer Science + Business Media

    Theodoros Karakasidis, Dr. Filippos Sofos

  56. Fluid structure and system dynamics in nanodevices for water desalination

    Article • Desalination and Water Treatment, May 2015, Taylor & Francis

    Theodoros Karakasidis, Dr. Filippos Sofos

  57. A quasi-continuum multi-scale theory for self-diffusion and fluid ordering in nanochannel flows

    Article • Microfluidics and Nanofluidics, April 2014, Springer Science + Business Media

    Theodoros Karakasidis, Dr. Filippos Sofos

  58. Fluid Flow at the Nanoscale: How Fluid Properties Deviate from the Bulk

    Article • Nanoscience and Nanotechnology Letters, April 2013, American Scientific Publishers

    Theodoros Karakasidis, Dr. Filippos Sofos

  59. How wall properties control diffusion in grooved nanochannels: a molecular dynamics study

    Article • Heat and Mass Transfer, March 2013, Springer Science + Business Media

    Theodoros Karakasidis, Dr. Filippos Sofos

  60. Parameters Affecting Slip Length at the Nanoscale

    Article • Journal of Computational and Theoretical Nanoscience, March 2013, American Scientific Publishers

    Theodoros Karakasidis, Dr. Filippos Sofos

  61. A novel image processing method to determine the nutritional condition of lobsters

    Article • Micron, February 2013, Elsevier

    Dr. Filippos Sofos

  62. Unified description of size effects of transport properties of liquids flowing in nanochannels

    Article • International Journal of Heat and Mass Transfer, September 2012, Elsevier

    Theodoros Karakasidis, Dr. Filippos Sofos

  63. Surface wettability effects on flow in rough wall nanochannels

    Article • Microfluidics and Nanofluidics, July 2011, Springer Science + Business Media

    Theodoros Karakasidis, Dr. Filippos Sofos

  64. Effect of wall roughness on shear viscosity and diffusion in nanochannels

    Article • International Journal of Heat and Mass Transfer, September 2010, Elsevier

    Theodoros Karakasidis, Dr. Filippos Sofos

  65. Effects of wall roughness on flow in nanochannels

    Article • Physical Review E, February 2009, American Physical Society (APS)

    Theodoros Karakasidis, Dr. Filippos Sofos

  66. Transport properties of liquid argon in krypton nanochannels: Anisotropy and non-homogeneity introduced by the solid walls

    Article • International Journal of Heat and Mass Transfer, January 2009, Elsevier

    Theodoros Karakasidis, Dr. Filippos Sofos

  67. Variation of Transport Properties Along Nanochannels: A Study by Non-equilibrium Molecular Dynamics

    Article • January 2009, Springer Science + Business Media

    Theodoros Karakasidis, Dr. Filippos Sofos