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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 “bioreactor”

Experimental Design for Missing Physicsstat.ML

Develops experimental design for discovering missing physics in bioreactors.

problem Discovering missing physics in incomplete model structures of process systems.

method Combines universal differential equations and symbolic regression with sequential experimental design.

result Successfully recovered true model structure of a bioreactor using machine learning techniques.

experimental design missing physics bioreactor machine learning symbolic regression

2026-03-21abs ↗pdf ↗

Deep Adaptive Model-Based Design of Experimentsstat.ML

Adapts MBDOE for real-time parameter estimation in complex systems.

problem Costly posterior inference and design optimization in nonlinear systems.

method Combines DAD with differentiable mechanistic models for real-time parameter estimation.

result Demonstrated on four systems, including a DC motor.

Design of Experiments Real-time Parameter Estimation Dynamical Systems Deep Learning

2026-03-17abs ↗pdf ↗

Bayesian Symbolic Regression for Missing Physicsstat.ML

Bayesian symbolic regression uncovers missing physics from data with uncertainty quantification.

problem Incomplete knowledge of physical laws from experimental data.

method Bayesian symbolic regression using Reversible Jump Markov Chain Monte Carlo.

result Uncertainty quantification in recovered model structures.

Bayesian symbolic regression missing physics Markov Chain Monte Carlo uncertainty quantification

2026-03-16abs ↗pdf ↗