Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220795421> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4220795421 endingPage "3916" @default.
- W4220795421 startingPage "3910" @default.
- W4220795421 abstract "Optimizing reactions in the chemical industry is one of the major challenges in the pursuit of economic and ecological sustainability. With ongoing research in this field, the amount of available data has greatly increased, which makes it suitable for machine learning approaches. In this paper, the application of reinforcement learning for finding optimal reaction conditions of the partial oxidation of methane (POX) is tested. Q-learning (QL) agents and deep deterministic policy gradient (DDPG) agents are trained to maximize H2 production by partial oxidation of methane in a simulated plug flow reactor. Although the QL agent showed promising results in a simplified environment, it was not able to achieve improvements in the simulation environment. A clear superiority of the DDPG agent was observed, as it was able to maximize H2 production by adjusting temperature, pressure, flow velocity, and substrate composition. This proves that reinforcement learning is applicable for reaction optimization and a promising concept to improve efficiency in chemical processes." @default.
- W4220795421 created "2022-04-03" @default.
- W4220795421 creator A5065818528 @default.
- W4220795421 creator A5086987229 @default.
- W4220795421 date "2022-03-08" @default.
- W4220795421 modified "2023-10-03" @default.
- W4220795421 title "Reinforcement Learning Approaches for the Optimization of the Partial Oxidation Reaction of Methane" @default.
- W4220795421 cites W1557517019 @default.
- W4220795421 cites W2041911815 @default.
- W4220795421 cites W2085518242 @default.
- W4220795421 cites W2607056031 @default.
- W4220795421 cites W2957938917 @default.
- W4220795421 cites W3024273797 @default.
- W4220795421 cites W70585878 @default.
- W4220795421 doi "https://doi.org/10.1021/acs.iecr.1c04622" @default.
- W4220795421 hasPublicationYear "2022" @default.
- W4220795421 type Work @default.
- W4220795421 citedByCount "5" @default.
- W4220795421 countsByYear W42207954212022 @default.
- W4220795421 countsByYear W42207954212023 @default.
- W4220795421 crossrefType "journal-article" @default.
- W4220795421 hasAuthorship W4220795421A5065818528 @default.
- W4220795421 hasAuthorship W4220795421A5086987229 @default.
- W4220795421 hasConcept C110686534 @default.
- W4220795421 hasConcept C127413603 @default.
- W4220795421 hasConcept C154945302 @default.
- W4220795421 hasConcept C159985019 @default.
- W4220795421 hasConcept C178790620 @default.
- W4220795421 hasConcept C183696295 @default.
- W4220795421 hasConcept C185592680 @default.
- W4220795421 hasConcept C18903297 @default.
- W4220795421 hasConcept C192562407 @default.
- W4220795421 hasConcept C21880701 @default.
- W4220795421 hasConcept C2524010 @default.
- W4220795421 hasConcept C2777289219 @default.
- W4220795421 hasConcept C33923547 @default.
- W4220795421 hasConcept C38349280 @default.
- W4220795421 hasConcept C41008148 @default.
- W4220795421 hasConcept C516920438 @default.
- W4220795421 hasConcept C540031477 @default.
- W4220795421 hasConcept C67203356 @default.
- W4220795421 hasConcept C68463220 @default.
- W4220795421 hasConcept C86803240 @default.
- W4220795421 hasConcept C97541855 @default.
- W4220795421 hasConceptScore W4220795421C110686534 @default.
- W4220795421 hasConceptScore W4220795421C127413603 @default.
- W4220795421 hasConceptScore W4220795421C154945302 @default.
- W4220795421 hasConceptScore W4220795421C159985019 @default.
- W4220795421 hasConceptScore W4220795421C178790620 @default.
- W4220795421 hasConceptScore W4220795421C183696295 @default.
- W4220795421 hasConceptScore W4220795421C185592680 @default.
- W4220795421 hasConceptScore W4220795421C18903297 @default.
- W4220795421 hasConceptScore W4220795421C192562407 @default.
- W4220795421 hasConceptScore W4220795421C21880701 @default.
- W4220795421 hasConceptScore W4220795421C2524010 @default.
- W4220795421 hasConceptScore W4220795421C2777289219 @default.
- W4220795421 hasConceptScore W4220795421C33923547 @default.
- W4220795421 hasConceptScore W4220795421C38349280 @default.
- W4220795421 hasConceptScore W4220795421C41008148 @default.
- W4220795421 hasConceptScore W4220795421C516920438 @default.
- W4220795421 hasConceptScore W4220795421C540031477 @default.
- W4220795421 hasConceptScore W4220795421C67203356 @default.
- W4220795421 hasConceptScore W4220795421C68463220 @default.
- W4220795421 hasConceptScore W4220795421C86803240 @default.
- W4220795421 hasConceptScore W4220795421C97541855 @default.
- W4220795421 hasFunder F4320320879 @default.
- W4220795421 hasIssue "11" @default.
- W4220795421 hasLocation W42207954211 @default.
- W4220795421 hasOpenAccess W4220795421 @default.
- W4220795421 hasPrimaryLocation W42207954211 @default.
- W4220795421 hasRelatedWork W1006705661 @default.
- W4220795421 hasRelatedWork W1541178455 @default.
- W4220795421 hasRelatedWork W2015157076 @default.
- W4220795421 hasRelatedWork W2050544328 @default.
- W4220795421 hasRelatedWork W2060394798 @default.
- W4220795421 hasRelatedWork W2071031966 @default.
- W4220795421 hasRelatedWork W2364627999 @default.
- W4220795421 hasRelatedWork W2760871012 @default.
- W4220795421 hasRelatedWork W2789669000 @default.
- W4220795421 hasRelatedWork W4385597039 @default.
- W4220795421 hasVolume "61" @default.
- W4220795421 isParatext "false" @default.
- W4220795421 isRetracted "false" @default.
- W4220795421 workType "article" @default.