E-LIB Suche - Ergebnisse für: Romagnoli, Jose A.

1

Exploring nontraditional LSTM architectures for modeling de..:

Mandis, Marta ; Baratti, Roberto ; Chebeir, Jorge..
Computers & Chemical Engineering. 183 (2024) - p. 108591 , 2024

2

High-Order Nonstationary Feature Extraction for Industrial ..:

Rao, Jingzhi ; Ji, Cheng ; Wang, Jingde..
Industrial & Engineering Chemistry Research. 63 (2024) 21 - p. 9489-9503 , 2024

Link: https://doi.org/10.1021/..

3

A microfluidic approach to study variations in Chlamydomona..:

Rahnama, Alireza ; Vaithiyanathan, Manibarathi ; Briceno-Mena, Luis...
The Analyst. 149 (2024) 16 - p. 4256-4266 , 2024

Link: https://doi.org/10.1039/..

4

Surfactant-Specific AI-Driven Molecular Design: Integrating..:

Nnadili, Miriam ; Okafor, Andrew N. ; Olayiwola, Teslim...
Industrial & Engineering Chemistry Research. 63 (2024) 14 - p. 6313-6324 , 2024

Link: https://doi.org/10.1021/..

5

Empowering Capacitive Devices: Harnessing Transfer Learning..:

Olayiwola, Teslim ; Kumar, Revati ; Romagnoli, Jose A.
Industrial & Engineering Chemistry Research. 63 (2024) 27 - p. 11971-11981 , 2024

Link: https://doi.org/10.1021/..

6

Data-based health indicator extraction for battery SOH esti..:

Tao, Tingting ; Ji, Cheng ; Dai, Jindong...
Journal of Energy Storage. 78 (2024) - p. 109982 , 2024

Link: https://doi.org/10.1016/..

7

Determining Ion Activity Coefficients in Ion-Exchange Membr..:

Gallage Dona, Hishara Keshani ; Olayiwola, Teslim ; Briceno-Mena, Luis A....
Industrial & Engineering Chemistry Research. 62 (2023) 24 - p. 9533-9548 , 2023

Link: https://doi.org/10.1021/..

8

Machine learning-based surrogate models and transfer learni..:

Briceno-Mena, Luis A. ; Arges, Christopher G. ; Romagnoli, Jose A.
Computers & Chemical Engineering. 171 (2023) - p. 108159 , 2023

Link: https://doi.org/10.1016/..

9

Deconvoluting charge-transfer, mass transfer, and ohmic res..:

Arunagiri, Karthik ; Wong, Andrew Jark-Wah ; Briceno-Mena, Luis...
Energy & Environmental Science. 16 (2023) 12 - p. 5916-5932 , 2023

Link: https://doi.org/10.1039/..

10

Unsupervised learning: Local and global structure preservat..:

Seghers, Estelle E. ; Briceno-Mena, Luis A. ; Romagnoli, José A.
Computers & Chemical Engineering. 178 (2023) - p. 108378 , 2023

Link: https://doi.org/10.1016/..

11

Modular Framework for Simulation-Based Multi-objective Opti..:

Piguave, Bryan V. ; Salas, Santiago D. ; De Cecchis, Dany.
ACS Omega. 7 (2022) 14 - p. 11696-11709 , 2022

Link: https://doi.org/10.1021/..

12

Learning to navigate a crystallization model with Deep Rein..:

Manee, Vidhyadhar ; Baratti, Roberto ; Romagnoli, Jose A.
Chemical Engineering Research and Design. 178 (2022) - p. 111-123 , 2022

Link: https://doi.org/10.1016/..

13

Data mining and knowledge discovery in chemical processes: ..:

Briceno-Mena, Luis A. ; Nnadili, Miriam ; Benton, Michael G..
Data-Centric Engineering. 3 (2022) - p. , 2022

Link: https://doi.org/10.1017/..

14

Electrochemical Pumping for Challenging Hydrogen Separation:

Venugopalan, Gokul ; Bhattacharya, Deepra ; Andrews, Evan...
ACS Energy Letters. 7 (2022) 4 - p. 1322-1329 , 2022

Link: https://doi.org/10.1021/..

15

PemNet: A Transfer Learning-Based Modeling Approach of High..:

Briceno-Mena, Luis A. ; Romagnoli, José A. ; Arges, Christopher G.
Industrial & Engineering Chemistry Research. 61 (2022) 9 - p. 3350-3357 , 2022

Link: https://doi.org/10.1021/..