Researcher
Pieter Plehiers
- Disciplines:Other (bio)chemical engineering not elsewhere classified
Affiliations
- Department of Materials, Textiles and Chemical Engineering (Department)
Member
From1 Feb 2017 → 26 Sep 2021 - Department of Chemical engineering and technical chemistry (Department)
Member
From17 Aug 2016 → 31 Jan 2017
Projects
1 - 1 of 1
- First-principles based computer-aided synthesis designFrom1 Oct 2016 → 30 Sep 2020Funding: FWO fellowships
Publications
1 - 10 of 17
- Speeding up turbulent reactive flow simulation via a deep artificial neural network : a methodology study(2022)
Authors: Yi Ouyang, Laurien Vandewalle, Pieter Plehiers, Maarten Dobbelaere, Geraldine Heynderickx, Kevin Van Geem
- Learning molecular representations for thermochemistry prediction of cyclic hydrocarbons and oxygenates(2021)
Authors: Maarten Dobbelaere, Pieter Plehiers, Ruben Van de Vijver, Christian Stevens, Kevin Van Geem
Pages: 5166 - 5179 - Fast estimation of standard enthalpy of formation with chemical accuracy by artificial neural network correction of low-level-of-theory ab initio calculations(2021)
Authors: Pieter Plehiers, Istvan Lengyel, David West, Christian Stevens, Kevin Van Geem
- Building a holistic kinetic Monte Carlo modeling framework for achieving carbon circularity in vinyl copolymers(2021)
Authors: Onur Dogu, Pieter Plehiers, Ruben Van de Vijver, Dagmar D'hooge, Paul Van Steenberge, Kevin Van Geem
Number of pages: 1 - Machine learning in chemical engineering : strengths, weaknesses, opportunities, and threats(2021)
Authors: Maarten Dobbelaere, Pieter Plehiers, Ruben Van de Vijver, Christian Stevens, Kevin Van Geem
Pages: 1201 - 1211 - Distribution changes during thermal degradation of poly(styrene peroxide) by pairing tree-based kinetic Monte Carlo and artificial intelligence tools(2021)
Authors: Onur Dogu, Pieter Plehiers, Ruben Van de Vijver, Paul Van Steenberge, Kevin Van Geem
Pages: 3334 - 3353 - Artificial intelligence for computer-aided synthesis in flow : analysis and selection of reaction components(2020)
Authors: Pieter Plehiers, Connor Coley, Hanyu Gao, Florence Vermeire, Maarten Dobbelaere, Christian Stevens, Kevin Van Geem, William H. Green
- Multi-scale modeling of chemical processes via machine learning(2020)
Authors: Pieter Plehiers
- Kinetic Monte Carlo simulations of poly(styrene peroxide) chemical recycling(2020)
Authors: Onur Dogu, Pieter Plehiers, Ruben Van de Vijver, Paul Van Steenberge, Dagmar D'hooge, Kevin Van Geem
Number of pages: 1 - An artificial neural network-based approach to thermodynamic property estimation(2019)Volume: 258
Authors: Ruben Van de Vijver, Pieter Plehiers, Christian Stevens, Kevin Van Geem
Number of pages: 1