Linking intra- and extra-cellular metabolic domains via neural-network surrogates for dynamic metabolic control

Documenti analoghi

• Hybrid physics-informed metabolic cybergenetics: process rates augmented with machine-learning surrogates informed by flux balance analysis
  di: Espinel-Ríos, Sebastián, et al.
  Pubblicazione: (2024)
• Reinforcement learning for robust dynamic metabolic control
  di: Espinel-Ríos, Sebastián, et al.
  Pubblicazione: (2025)
• Switching-time bioprocess control with pulse-width-modulated optogenetics
  di: Espinel-Ríos, Sebastián
  Pubblicazione: (2025)
• Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses
  di: Espinel-Ríos, Sebastián, et al.
  Pubblicazione: (2025)
• Enhancing reinforcement learning for population setpoint tracking in co-cultures
  di: Espinel-Ríos, Sebastián, et al.
  Pubblicazione: (2024)