nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Accelerating process synthesis with reinforcement learning: Transfer learning from multi-fidelity simulations and variational autoencoders
|
Gao, Qinghe |
|
|
201 |
C |
p. |
artikel |
2 |
Accurate prediction of performance-related properties of refrigerants with machine learning and new small molecule descriptors
|
Cao, Peilin |
|
|
201 |
C |
p. |
artikel |
3 |
Accurate property predictions and reliability quantification in molecular design based on molecular similarity
|
Xu, Youquan |
|
|
201 |
C |
p. |
artikel |
4 |
A data segmentation and chronological nomenclature preprocessing approach for power system modeling
|
Omoroghomwan, Efosa Arnold |
|
|
201 |
C |
p. |
artikel |
5 |
A digital twin simulator of a pastillation process with applications to automatic control based on computer vision
|
González, Leonardo D. |
|
|
201 |
C |
p. |
artikel |
6 |
A game theoretic approach to Sustainizability® Over Sets and its application to a multi-species population model
|
Manousiouthakis, Ioannis V. |
|
|
201 |
C |
p. |
artikel |
7 |
A graph convolutional LSTM approach for modeling nonlinear chemical process networks using spatial–temporal data
|
Wu, Wanlu |
|
|
201 |
C |
p. |
artikel |
8 |
A hybrid Kalman filter and physics-informed neural network approach for leakage detection and localization in heat exchanger networks
|
Shi, Ming |
|
|
201 |
C |
p. |
artikel |
9 |
A machine learning approach for intra- and inter-cast hot metal temperature forecasting
|
Paixão, Thiago M. |
|
|
201 |
C |
p. |
artikel |
10 |
A multi-parametric programming approach for combined flexibility, availability, and resilience in process design
|
Chrisandina, Natasha J. |
|
|
201 |
C |
p. |
artikel |
11 |
An approach to wastewater valorization in the cassava value chain through biorefineries based on anaerobic digestion
|
Agudelo-Patiño, Tatiana |
|
|
201 |
C |
p. |
artikel |
12 |
An early decision-making algorithm for accelerating topical drug formulation optimisation
|
Zhang, Yu |
|
|
201 |
C |
p. |
artikel |
13 |
A Novel Combined Multi-Task Gaussian Process Regression and Compensation Model for Prediction of Lithium-Ion Battery Degradation
|
Li, Fang |
|
|
201 |
C |
p. |
artikel |
14 |
A practical reinforcement learning control design for nonlinear systems with input and output constraints
|
Hassanpour, Hesam |
|
|
201 |
C |
p. |
artikel |
15 |
A Process Systems Engineering approach towards responsive and sustainable (bio-)pharmaceutical supply chains
|
Sarkis, Miriam |
|
|
201 |
C |
p. |
artikel |
16 |
A two-stage expert-guided reinforcement learning controller training strategy for large time-delay systems
|
Shou, Zhoupeng |
|
|
201 |
C |
p. |
artikel |
17 |
BioProcessNexus: An open-source platform for surrogate techno economic models
|
De Santis, Tommaso |
|
|
201 |
C |
p. |
artikel |
18 |
Building hybrid AI models in chemical engineering: A tutorial review
|
Chakraborty, Arijit |
|
|
201 |
C |
p. |
artikel |
19 |
Caffeine, riboflavin and curcumin amended clays for PFAS binding
|
Xenophontos, Xenophon |
|
|
201 |
C |
p. |
artikel |
20 |
Comparing generative process synthesis approaches with superstructure optimization for the conception of supercritical CO2 Brayton cycles
|
Rocha Azevedo, Antonio |
|
|
201 |
C |
p. |
artikel |
21 |
Computer-aided mixture design using molecule superstructures
|
Rehner, Philipp |
|
|
201 |
C |
p. |
artikel |
22 |
Computing control invariant set using reinforcement learning by leveraging default value function
|
Bo, Song |
|
|
201 |
C |
p. |
artikel |
23 |
Continuous learning of the value function utilizing deep reinforcement learning to be used as the objective in model predictive control
|
Beahr, Daniel |
|
|
201 |
C |
p. |
artikel |
24 |
Digital twins for accurate prediction beyond routine operation
|
Li, Bryan |
|
|
201 |
C |
p. |
artikel |
25 |
Economic nonlinear model predictive control and scheduling of multiple fed-batch fermenters in a lignocellulosic biorefinery
|
Liñán, David A. |
|
|
201 |
C |
p. |
artikel |
26 |
Editorial Board
|
|
|
|
201 |
C |
p. |
artikel |
27 |
Enhanced PEMFC parameter estimation using a hybrid gorilla troops optimizer and honey badger algorithm
|
Aljaidi, Mohammad |
|
|
201 |
C |
p. |
artikel |
28 |
Exploring data augmentation: Multi-task methods for molecular property prediction
|
Javaid, Muhammad bin |
|
|
201 |
C |
p. |
artikel |
29 |
From clutter to clarity: Emergent neural operators via questionnaire metrics
|
Georgiou, Anastasia S. |
|
|
201 |
C |
p. |
artikel |
30 |
Improving life cycle assessment consistency for biomass-derived processes: A case study on triacetic acid lactone production with CO2 recycling
|
Wen, Ching-Mei |
|
|
201 |
C |
p. |
artikel |
31 |
Integrating coding platforms with process simulators for custom applications
|
Kumar, Anikesh |
|
|
201 |
C |
p. |
artikel |
32 |
Integrating machine learning and life cycle sustainability assessment for systematic optimization of petroleum coke oxidation for hydrogen residues processing
|
Zhang, Zhibo |
|
|
201 |
C |
p. |
artikel |
33 |
Leveraging machine learning algorithms to predict life cycle inventory assessments (LCIA) to facilitate sustainable process design
|
Aboagye, Emmanuel |
|
|
201 |
C |
p. |
artikel |
34 |
Multimodal learning with missing modality for chemical process system
|
Choi, Suk Hoon |
|
|
201 |
C |
p. |
artikel |
35 |
Multi-objective dispatch of integrated renewable power systems leveraging robust optimization in deep reinforcement learning
|
Ma, Aoqun |
|
|
201 |
C |
p. |
artikel |
36 |
Multi-objective optimal control of nonlinear processes using reinforcement learning with adaptive weighting
|
Wang, Yujia |
|
|
201 |
C |
p. |
artikel |
37 |
Multi-objective optimization of crop land allocation for sustainability within the food-energy-water-land-fertilizer (FEWLF) nexus
|
Rathore, Robin |
|
|
201 |
C |
p. |
artikel |
38 |
Multi-scale modeling and optimization of CO₂ hydrogenation to light olefins via deep learning and optimization algorithms
|
Zhao, Yi |
|
|
201 |
C |
p. |
artikel |
39 |
Multi-time scale CCUS pipeline network optimization: modeling cost-effective emission reduction trajectories by multi-policy integration
|
Zhou, Jun |
|
|
201 |
C |
p. |
artikel |
40 |
On ReLU neural networks as piecewise linear surrogate models
|
Hosseini, Amirhossein |
|
|
201 |
C |
p. |
artikel |
41 |
Optimal CO2-based syngas supply chain configurations in Europe: Insights into location and scaling
|
Wiltink, Thijmen |
|
|
201 |
C |
p. |
artikel |
42 |
Optimal control of scheduling and production for a multienzymatic system in continuous reactors
|
Silva, Pablo |
|
|
201 |
C |
p. |
artikel |
43 |
Optimal design of Carbon Capture, Utilization and Storage (CCUS) networks under uncertain geological storage volumes and CO 2 price
|
Aras, Chinmay M. |
|
|
201 |
C |
p. |
artikel |
44 |
Optimizing spatial clustering for supply chain networks
|
Cifuentes García, Roberto |
|
|
201 |
C |
p. |
artikel |
45 |
Recursive iterative Principal Component Analysis
|
Pradeep, Melpakkam |
|
|
201 |
C |
p. |
artikel |
46 |
Resilient biofuel supply chain network design under disruption risk and uncertainty considering parameter dependency: Iran case study
|
Karimi, Mohammad Ali |
|
|
201 |
C |
p. |
artikel |
47 |
Retrofitting Ordinary Portland cement production for reduced greenhouse gas emissions
|
Ojeda-Paredes, Ariana Y. |
|
|
201 |
C |
p. |
artikel |
48 |
Sample-efficient reinforcement learning of Koopman eNMPC
|
Mayfrank, Daniel |
|
|
201 |
C |
p. |
artikel |
49 |
Self-optimization of Claisen-Schmidt condensation in an automated microflow reaction system using machine learning
|
Pucihar, Urh |
|
|
201 |
C |
p. |
artikel |
50 |
Series solutions for linear and nonlinear boundary value problems
|
Wang, Hainan |
|
|
201 |
C |
p. |
artikel |
51 |
Shift-based methodology for production planning in steel industry
|
Pan, Ruilin |
|
|
201 |
C |
p. |
artikel |
52 |
Simulator-based surrogate optimisation employing adaptive uncertainty-aware sampling
|
Liu, Yu |
|
|
201 |
C |
p. |
artikel |
53 |
Structural constraint reduction in process simulator-based optimisation: Leveraging the P-graph framework
|
Hillaby, Darrick |
|
|
201 |
C |
p. |
artikel |
54 |
Sustainable recovery of Cu, Ag and Au from the waste printed circuit boards and process optimisation by machine learning
|
Ashraf, Waqar Muhammad |
|
|
201 |
C |
p. |
artikel |
55 |
Switching from centralized manufacturing to modular distributed units: A SAA based methodology for economic and environmental comparative studies under uncertainty
|
Di Pretoro, Alessandro |
|
|
201 |
C |
p. |
artikel |
56 |
Towards a sustainable and defossilized chemical and process industry
|
Martín, Mariano |
|
|
201 |
C |
p. |
artikel |