All Stories

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