All Stories

  1. Reconstructing turbulence: A deep learning–enhanced interpolation approach
  2. Advancing Fluid Mechanics with Artificial Intelligence and Machine Learning
  3. Turbulent channel flow: A physics-informed neural network approach with embedded parameter optimization
  4. Physically Consistent Self-Diffusion Coefficient Calculation with Molecular Dynamics and Symbolic Regression
  5. Data driven prediction of the neutral gas pressure in the stellarator Wendelstein 7-X
  6. A review of deep learning for super-resolution in fluid flows
  7. Advancing super-resolution of turbulent velocity fields: An artificial intelligence approach
  8. Spatiotemporal super-resolution forecasting of high-speed turbulent flows
  9. Enhancing indoor temperature mapping: High-resolution insights through deep learning and computational fluid dynamics
  10. Comparison of super-resolution deep learning models for flow imaging
  11. Refining Flow Structures with Deep Learning and Super Resolution Methods
  12. Turbulent Micropolar Open-Channel Flow
  13. Ultra-scaled deep learning temperature reconstruction in turbulent airflow ventilation
  14. From Sparse to Dense Representations in Open Channel Flow Images with Convolutional Neural Networks
  15. Deep learning architecture for sparse and noisy turbulent flow data
  16. A deep learning super-resolution model for turbulent image upscaling and its application to shock wave–boundary layer interaction
  17. The application of data science and machine learning techniques in predicting the compressive strength of confined concrete
  18. Reassessing the transport properties of fluids: A symbolic regression approach
  19. A hybrid molecular dynamics/machine learning framework to calculate the viscosity and thermal conductivity of Ar, Kr, Xe, O and Ν
  20. Twofold Machine-Learning and Molecular Dynamics: A Computational Framework
  21. The Educational Role of Cinema in Physical Sciences
  22. Convolutional neural networks for compressible turbulent flow reconstruction
  23. Can Artificial Intelligence Accelerate Fluid Mechanics Research?
  24. Fluid Properties Extraction in Confined Nanochannels with Molecular Dynamics and Symbolic Regression Methods
  25. Impact of an inclined magnetic field on couple stress fluid flow over a stretching surface with effect of Stefan blowing, radiation and chemical reaction
  26. Adaptive thermal comfort model and active occupant behaviour in a mixed-mode apartment. A synergy to sustainability.
  27. Smoothed Particle Hydrodynamics-Based Study of 3D Confined Microflows
  28. Artificial Intelligence in Physical Sciences: Symbolic Regression Trends and Perspectives
  29. Influence of carbon nanotube suspensions on Casson fluid flow over a permeable shrinking membrane: an analytical approach
  30. Fiber-Reinforced Polymer Confined Concrete: Data-Driven Predictions of Compressive Strength Utilizing Machine Learning Techniques
  31. Thermosolutal Marangoni Convection for Hybrid Nanofluid Models: An Analytical Approach
  32. Analytical investigation of an incompressible viscous laminar Casson fluid flow past a stretching/shrinking sheet
  33. The Electrical Conductivity of Ionic Liquids: Numerical and Analytical Machine Learning Approaches
  34. Applying new methodologies in order to extrapolate new insights
  35. A combined clustering/symbolic regression framework for fluid property prediction
  36. Current Trends in Fluid Research in the Era of Artificial Intelligence: A Review
  37. Machine learning symbolic equations for diffusion with physics-based descriptions
  38. Effects of channel size, wall wettability, and electric field strength on ion removal from water in nanochannels
  39. Investigation of water desalination/purification with molecular dynamics and machine learning techniques
  40. A Water/Ion Separation Device: Theoretical and Numerical Investigation
  41. Nanoscale slip length prediction with machine learning tools
  42. An assessment of SPH simulations of sudden expansion/contraction 3-D channel flows
  43. Machine Learning Techniques for Fluid Flows at the Nanoscale
  44. Molecular Dynamics Simulations of Ion Drift in Nanochannel Water Flow
  45. Teaching cinema with machinima
  46. Molecular dynamics simulations of ion separation in nano-channel water flows using an electric field
  47. Particle-based modeling and meshless simulation of flows with Smoothed Particle Hydrodynamics
  48. Multi-parameter analysis of water flows in nanochannels
  49. Darcy-Weisbach friction factor at the nanoscale: From atomistic calculations to continuum models
  50. Friction factor in nanochannel flows
  51. Molecular dynamics simulation on flows in nano-ribbed and nano-grooved channels
  52. Fluid structure and system dynamics in nanodevices for water desalination
  53. A quasi-continuum multi-scale theory for self-diffusion and fluid ordering in nanochannel flows
  54. Fluid Flow at the Nanoscale: How Fluid Properties Deviate from the Bulk
  55. How wall properties control diffusion in grooved nanochannels: a molecular dynamics study
  56. Parameters Affecting Slip Length at the Nanoscale
  57. A novel image processing method to determine the nutritional condition of lobsters
  58. Unified description of size effects of transport properties of liquids flowing in nanochannels
  59. Surface wettability effects on flow in rough wall nanochannels
  60. Effect of wall roughness on shear viscosity and diffusion in nanochannels
  61. Effects of wall roughness on flow in nanochannels
  62. Transport properties of liquid argon in krypton nanochannels: Anisotropy and non-homogeneity introduced by the solid walls
  63. Variation of Transport Properties Along Nanochannels: A Study by Non-equilibrium Molecular Dynamics