| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Accelerated modeling and design of a mixed refrigerant cryogenic process using a data-driven approach
|
Alimardani, Hosein
|
|
|
10 |
C |
p.
|
article
|
| 2 |
Adaptive digital twins for energy-intensive industries and their local communities
|
Walmsley, Timothy Gordon
|
|
|
10 |
C |
p.
|
article
|
| 3 |
A graph embedding based fault detection framework for process systems with multi-variate time-series datasets
|
Goswami, Umang
|
|
|
10 |
C |
p.
|
article
|
| 4 |
A review and perspective on hybrid modeling methodologies
|
Schweidtmann, Artur M.
|
|
|
10 |
C |
p.
|
article
|
| 5 |
-30°C cold start optimization of PEMFC based on a data-driven surrogate model and multi-objective optimization algorithm
|
Zhang, Fan
|
|
|
10 |
C |
p.
|
article
|
| 6 |
Corrigendum to ‘Ammonia-based green corridors for sustainable maritime transportation’ [Digital Chemical Engineering 6 (2023) 100082]
|
Wang, Hanchu
|
|
|
10 |
C |
p.
|
article
|
| 7 |
Design of microfluidic chromatographs through reinforcement learning
|
Shahab, Mohammad
|
|
|
10 |
C |
p.
|
article
|
| 8 |
Integrating transfer learning within data-driven soft sensor design to accelerate product quality control
|
Kay, Sam
|
|
|
10 |
C |
p.
|
article
|
| 9 |
Investigating an amplitude amplification-based optimization algorithm for model predictive control
|
Nieman, Kip
|
|
|
10 |
C |
p.
|
article
|
| 10 |
Model predictive control of an electrically-heated steam methane reformer
|
Çıtmacı, Berkay
|
|
|
10 |
C |
p.
|
article
|
| 11 |
Multiscale computational fluid dynamics modeling of an area-selective atomic layer deposition process using a discrete feed method
|
Wang, Henrik
|
|
|
10 |
C |
p.
|
article
|
| 12 |
Predictive models for upstream mammalian cell culture development - A review
|
Yatipanthalawa, Bhagya S.
|
|
|
10 |
C |
p.
|
article
|
Journal description