ML-based Method for Solving the Microkinetic Model of Fischer-Tropsch Synthesis with Varying Catalyst/Reactor Parameters

Documenti analoghi

• Physics-informed neural networks need a physicist to be accurate: the case of mass and heat transport in Fischer-Tropsch catalyst particles
  di: Nikolaienko, Tymofii, et al.
  Pubblicazione: (2024)
• Linear-Scaling Potential-Free Data-Driven Molecular Dynamics for Arbitrary-Sized Water Clusters $(\text{H}_2\text{O})_n$
  di: Yan, Hongyu, et al.
  Pubblicazione: (2024)
• Super diffusive length dependent thermal conductivity in one-dimensional materials with structural defects: longitudinal to transverse phonon scattering leads to $κ\propto L^{1/3}$ law
  di: Burin, Alexander L.
  Pubblicazione: (2025)
• Thermal conductivity of aligned polymers with kinks
  di: Parshin, Igor V., et al.
  Pubblicazione: (2026)
• Collective excitations in Hydrogen across the pressure-induced transition from molecular to atomic fluid
  di: Ilenkov, I. -M., et al.
  Pubblicazione: (2025)