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TITLE: Applications of Predictive QSPR Modeling for Deep Eutectic Solvents
AUTHORS: Amit Kumar Halder; Natália D S Cordeiro ;
PUBLISHED: 2025, SOURCE: Challenges and Advances in Computational Chemistry and Physics, VOLUME: 41
INDEXED IN: Scopus CrossRef
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TITLE: Artificial Intelligence-Driven Modeling for Hydrogel Three-Dimensional Printing: Computational and Experimental Cases of Study  Full Text
AUTHORS: Bediaga Baneres, Harbil; Moreno Benitez, Isabel; Arrasate, Sonia; Perez alvarez, Leyre; Halder, Amit K. ; Cordeiro, M. Natalia D. S. ; Gonzalez Diaz, Humberto; Vilas Vilela, Jose Luis;
PUBLISHED: 2025, SOURCE: POLYMERS, VOLUME: 17, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef: 11
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TITLE: Machine learning-driven prediction of deep eutectic solvents’ heat capacity for sustainable process design
AUTHORS: Amit Kumar Halder ; Reza Haghbakhsh; Elisabete C Ferreira ; Ana Rita Duarte; Natália D S Cordeiro ;
PUBLISHED: 2025, SOURCE: Journal of Molecular Liquids, VOLUME: 418
INDEXED IN: Scopus CrossRef: 10
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TITLE: Machine Learning-Guided Prediction of Activation Energies for Catalyst Design in the Water Gas Shift Reaction
AUTHORS: Fajin, Jose L. C. ; Halder, Amit Kumar ; Cordeiro, M. Natalia D. S. ;
PUBLISHED: 2025, SOURCE: JOURNAL OF PHYSICAL CHEMISTRY C, VOLUME: 129, ISSUE: 11
INDEXED IN: Scopus WOS CrossRef: 5
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TITLE: Optimising Materials Properties with Minimal Data: Lessons from Vanadium Catalyst Modelling
AUTHORS: José Ferraz-Caetano ; Filipe Teixeira ; Natália D S Cordeiro ;
PUBLISHED: 2025, SOURCE: Challenges and Advances in Computational Chemistry and Physics, VOLUME: 39
INDEXED IN: Scopus CrossRef
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TITLE: Optimizing Vanadium-Catalyzed Epoxidation Reactions: Machine-Learning-Driven Yield Predictions and Data Augmentation  Full Text
AUTHORS: José Ferraz-Caetano ; Teixeira, Filipe ; Cordeiro, M. Natalia D. S. ;
PUBLISHED: 2025, SOURCE: JOURNAL OF CHEMICAL INFORMATION AND MODELING, VOLUME: 65, ISSUE: 13
INDEXED IN: Scopus WOS CrossRef: 1
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