On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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3 results for “exothermic polymerization”

Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correctioneess.SY

Safe offline RL for chemical reactors using input convex neural networks.

problem Safe control of exothermic polymerization reactors using historical data.

method Gymnasium-compatible simulation, behaviour cloning, implicit Q-learning, input convex neural networks (PICNNs).

result Offline RL with convex action correction outperforms traditional control approaches.

offline reinforcement learning chemical reactors input convex neural networks safe control exothermic polymerization

2025-07-30abs ↗pdf ↗

Prediction of flow and elastic stresses in a viscoelastic turbulent channel flow using convolutional neural networksphysics.flu-dyn

Neural networks predict flow and elastic stresses in viscoelastic turbulence.

problem Predicting flow and elastic stresses in viscoelastic turbulent flows using limited experimental data.

method Convolutional neural networks trained on wall-normal velocity and pressure data.

result Neural networks accurately predict flow and elastic stresses, especially during low-drag events.

viscoelastic turbulence neural networks turbulent flows polymeric stress non-intrusive prediction

2024-04-22abs ↗pdf ↗

HOFLON: Hybrid Offline Learning and Online Optimization for Process Start-Up and Grade-Transition Controlcs.LG

HOFLON automates process start-ups and grade-changes using offline RL and online optimization.

problem Manual operation of start-ups and grade-changes by experts is declining, leaving plant owners without the necessary tacit know-how.

method HOFLON combines offline RL to learn a latent manifold and long-horizon Q-critic, and online optimization to maximize Q-critic while penalizing deviations and excessive variable changes.

result HOFLON outperforms standard offline RL in industrial case studies, delivering better cumulative rewards than historical data.

process control start-up grade-change reinforcement learning offline learning

2025-10-04abs ↗pdf ↗