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Adem Rosenkvist Nielsen Aouichaoui
Adem Rosenkvist Nielsen Aouichaoui
Postdoc, PROSYS, Technical University of Denmark (DTU)
Verified email at kt.dtu.dk - Homepage
Title
Cited by
Cited by
Year
Combining Group-Contribution concept and graph neural networks toward interpretable molecular property models
ARN Aouichaoui, F Fan, SS Mansouri, J Abildskov, G Sin
Journal of Chemical Information and Modeling 63 (3), 725-744, 2023
192023
Comparison of group-contribution and machine learning-based property prediction models with uncertainty quantification
ARN Aouichaoui, R Al, J Abildskov, G Sin
Computer Aided Chemical Engineering 50, 755-760, 2021
182021
Uncertainty estimation in deep learning‐based property models: Graph neural networks applied to the critical properties
ARN Aouichaoui, SS Mansouri, J Abildskov, G Sin
AIChE Journal 68 (6), e17696, 2022
172022
Application of interpretable group-embedded graph neural networks for pure compound properties
ARN Aouichaoui, F Fan, J Abildskov, G Sin
Computers & Chemical Engineering 176, 108291, 2023
82023
Analysis and evaluation of periodic separations using COPS trays
AAR Nielsen, EC Álvarez, NFV Carlsen, HUR Azizi, SB Jĝrgensen, ...
Chemical engineering transactions 69, 733-738, 2018
52018
On The Interpretability of Graph Neural Networks in QSPR Modeling
F Fan, ARN Aouichaoui, G Sin
Computer Aided Chemical Engineering 51, 1393-1398, 2022
32022
Molecular representations in deep-learning models for chemical property prediction
ARN Aouichaoui, F Fan, SS Mansouri, JAG Sin
Computer Aided Chemical Engineering 49, 1591-1596, 2022
32022
DeepGSA: Plant Data-Driven Global Sensitivity Analysis using Deep Learning
ARN Aouichaoui, R Al, G Sin
Computer Aided Chemical Engineering 49, 1759-1764, 2022
32022
Application of Outlier Treatment Towards Improved Property Prediction Models
ARN Aouichaoui, SS Mansouri, J Abildskov, G Sin
Computer Aided Chemical Engineering 51, 1357-1362, 2022
12022
Digital Integration of Fermentation and Centrifugation Processes: Optimizing Pilot-Plant Biomanufacturing for Enhanced Efficiency
AA Malanca, M Stevnsborg, A Aouichaoui, R Barton, G Gilleskie, ...
2024 AIChE Annual Meeting, 2024
2024
Towards Self-Consistent Graph Neural Networks for Predicting the Ideal Gas Heat Capacity, Enthalpy, and Entropy
ARN Aouichaoui, S Müller, J Abildskov
Computer Aided Chemical Engineering 53, 2833-2838, 2024
2024
Scoping and Identifying Data-Driven Optimization Prospects in the Danish Processing Industry
ARN Aouichaoui, BB Ernstsson, P Jul-Rasmussen, NH Iversen, L Vermue, ...
Computer Aided Chemical Engineering 53, 451-456, 2024
2024
Energy-and process real-time optimization through hybrid modeling-a case from Viking Malt A/S
P Jul-Rasmussen, ARN Aouichaoui, M Korzepa, K Engelbrecht, ...
Computer Aided Chemical Engineering 53, 1645-1650, 2024
2024
Machine Learning and Deep Learning Applications for New and Improved Property Predictions
ARN Aouichaoui
Technical University of Denmark, 2023
2023
S-GNN: State-Dependent Graph Neural Networks for Functional Molecular Properties
ARN Aouichaoui, A Cogliati, J Abildskov, G Sin
Computer Aided Chemical Engineering 52, 575-581, 2023
2023
Global Systems Analysis Using Deep Learning on Industrially Relevant Large Datasets
G Sin, A Aouichaoui
2022 AIChE Annual Meeting, 2022
2022
Combining functional group and Graph Neural Networks Towards Interpretable Molecular Property Models
A Aouichaoui, F Fan, SS Mansouri, J Abildskov, G Sin
2022 AIChE Annual Meeting, 2022
2022
The advancement of zero-emission natural gas power plants and their role in future energy supply
A Zhang, H Yu, E Gençer, AAR Nielsen, G Sin, S Shi
Computer Aided Chemical Engineering 51, 1597-1602, 2022
2022
Prediction of Nitrous Oxide Concentration in Wastewater Treatment Plants: Application and Benchmarking of Deep-Learning Models
A Aouichaoui, SB Larsen, MH Andersen, G Sin
2021 AIChE Annual Meeting, 2021
2021
Multi-Task Property Prediction: Importance of the “Chemist-in-the-Loop” in Model Building
A Aouichaoui, SS Mansouri, J Abildskov, G Sin
2021 AIChE Annual Meeting, 2021
2021
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