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Digital Chemical Engineering cover

Digital Chemical Engineering

IF4.1
Papers163
Citations606
Journal Papers 147
Publication Date
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A pruning–sanitation–recovery algorithm for causal topology refinement under feedback, delays, and latent disturbances
deleteDigital Chemical Engineering
IF4.1
delete2026-10-10
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deleteHarman Dewantoro; Prodromos Daoutidis
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Data-Driven Soft Sensor Deployment in a Tar Distillation Plant: A Strategy for Stepwise Digitalization
deleteDigital Chemical Engineering
IF4.1
delete2026-10-02
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deleteSøren Villumsen; Oliver G.C. Olsen; Jakob K. Huusom; Xiaodong Liang; Jens Abildskov
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A review of out-of-distribution process monitoring: From adaptive mechanisms to robust modeling
deleteDigital Chemical Engineering
IF4.1
delete2026-09-28
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deleteXiangrui Zhang; Chunyue Song; Zhixing Cao; Wei Dai; Liang Wang; Husnain Ali; Furong Gao
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Grammar-Guided Symbolic Regression as Tool for Model Development of Enzymatic Reactions
deleteDigital Chemical Engineering
IF4.1
delete2026-09-23
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deleteThomas Waluga; Jorge Adrian Peña Ayala; Miriam Edel-Teichmann; Mirko Skiborowski
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AI-enabled digital twins for circular biorefineries: architectures, control, and sustainability-driven decision making
deleteDigital Chemical Engineering
IF4.1
delete2026-09-17
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deleteYuvarajan Devarajan; Raja T; Diksha Nirmalraj Saxena; Basavaraj Devakki; Shakti Prakash Jena; Naveen Kumar Yadav; Aravindan Munusamy Kalidhas; Ravikumar Jayabal; Kulmani Mehar
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Model-Based Optimization of Enzyme Cocktails for Sustainable Lignocellulosic Biomass Saccharification
deleteDigital Chemical Engineering
IF4.1
delete2026-09-16
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deleteThomas Waluga; Hossein Nazarpoor Najafabadi; Michael Zavrel; Mirko Skiborowski
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Beyond COP: process operability analysis reveals constraint-dependent refrigerant rankings in vapor compression chillers
deleteDigital Chemical Engineering
IF4.1
delete2026-09-15
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deleteNicolas Spogis; Bernardo Ronchetti; Douglas F. Barbin; Heleno Bispo
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Framework for Retrofitting Municipal Wastewater Treatment Plants for Enhanced Resilience under Failures and Inflow Variability
deleteDigital Chemical Engineering
IF4.1
delete2026-09-11
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deleteJean Pimentel; Akos Orosz; Andres Castellar-Freile; Kirti M. Yenkie; Heriberto Cabezas; Ferenc Friedler
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A hybrid modeling approach for predicting non-Newtonian flow through multilayer sintered composite-cloths
deleteDigital Chemical Engineering
IF4.1
delete2026-09-10
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deleteMelanie Fuhrmann; Sebastian Rehm; Martin Müller; Hermann Nirschl; Marco Gleiß
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Human-in-the-loop validation of a decision-support interface for blast furnace operation
deleteDigital Chemical Engineering
IF4.1
delete2026-09-10
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deleteYoshinari Hashimoto; Ryosuke Masuda; Satoki Yasuhara; Max Mulder; Marinus M. (René) van Paassen
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Physics-structured graph neural networks for interpretable fault detection in semiconductor manufacturing processes
deleteDigital Chemical Engineering
IF4.1
delete2026-08-24
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deleteChun-Pei Lin; Feiyang Ou; Yifei Wang; Chao Zhang; Sthitie Bom; James F. Davis; Panagiotis D. Christofides
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Hierarchical coordination and power generation optimization for interacted wind farms of large-scale wind farm cluster
deleteDigital Chemical Engineering
IF4.1
delete2026-08-21
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deleteYihua Zhu; Yuyan Liu; Qibo Liu; Chao Luo; Haochen Zhu; Shaoyuan Li; Yi Zheng
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Data-driven analysis of CO2 loading behavior in aqueous diisopropanolamine-based amine blends
deleteDigital Chemical Engineering
IF4.1
delete2026-08-20
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deleteMaryam Dehbani; Hamed Eivani; Masoud Rahimi
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Extrapolative Machine Learning for Resource-Efficient Dyeing Recipe Design in Recycled PET/PCT Microfiber
deleteDigital Chemical Engineering
IF4.1
delete2026-08-15
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deleteHyeokjun Cho; Seung Geol Lee
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Emerging Risks and Failure Boundaries of Applying Large Language Models to Process Control
deleteDigital Chemical Engineering
IF4.1
delete2026-08-13
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deleteHe Wen; Zaman Sajid
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Data-driven Analysis and Experimental Studies to Optimize Packaging Operations in Petroleum Industries
deleteDigital Chemical Engineering
IF4.1
delete2026-08-11
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deleteSwapana Jerpoth; Barnabas Gao; Sean Curtis; David Theuma; Michael Fracchiolla; Steven Roth; Emma Padros; Robert P. Hesketh; C. Stewart Slater; Mariano J. Savelski; Kirti M. Yenkie
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A Depthwise Separable Convolutional Neural Network-based framework for jet flooding detection in a laboratory-scale sieve tray column
deleteDigital Chemical Engineering
IF4.1
delete2026-08-07
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deleteJoshi Kashyapkumar; Gaia Chiari; Joachim Guderian
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An interpretable statistical surrogate of activated sludge systems that preserves mass conservation and component non-negativity
deleteDigital Chemical Engineering
IF4.1
delete2026-07-31
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deleteEgberto F. Selerio
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Chemical engineering competencies for digital skills
deleteDigital Chemical Engineering
IF4.1
delete2026-07-31
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deleteT.L. Rodgers; R.S. Ferrari
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A hybrid kinetic–machine learning framework for PHA biosynthesis prediction
deleteDigital Chemical Engineering
IF4.1
delete2026-07-23
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deleteJhuma Sadhukhan; Ritam Sen; Xiaoyan Hu
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