Pieter Plehiers
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- Journal Article
- A1
- open access
Speeding up turbulent reactive flow simulation via a deep artificial neural network : a methodology study
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Distribution changes during thermal degradation of poly(styrene peroxide) by pairing tree-based kinetic Monte Carlo and artificial intelligence tools
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- Journal Article
- A1
- open access
Fast estimation of standard enthalpy of formation with chemical accuracy by artificial neural network correction of low-level-of-theory ab initio calculations
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- Conference Paper
- C1
- open access
Building a holistic kinetic Monte Carlo modeling framework for achieving carbon circularity in vinyl copolymers
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- Journal Article
- A1
- open access
Machine learning in chemical engineering : strengths, weaknesses, opportunities, and threats
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- Journal Article
- A1
- open access
Learning molecular representations for thermochemistry prediction of cyclic hydrocarbons and oxygenates
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- Journal Article
- A1
- open access
Distribution changes during thermal degradation of poly(styrene peroxide) by pairing tree-based kinetic Monte Carlo and artificial intelligence tools
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- Conference Paper
- C3
- open access
Kinetic Monte Carlo simulations of poly(styrene peroxide) chemical recycling
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- PhD Thesis
- open access
Multi-scale modeling of chemical processes via machine learning
(2020) -
- Journal Article
- A2
- open access
Artificial intelligence for computer-aided synthesis in flow : analysis and selection of reaction components