Research output per year
Research output per year
Search results
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2024
Challenges and opportunities for CO2 electroreduction from a process systems engineering perspective
Dal Mas, R., Somoza Tornos, A., Pérez-Fortes, M., Kortlever, R. & Kiss, A. A., 2024, In: Frontiers in Energy Research. 12, 11 p., 1340622.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile20 Downloads (Pure) -
Challenges and opportunities for process intensification in Europe from a process systems engineering perspective
Li, Q., Somoza-Tornos, A., Grievink, J. & Kiss, A. A., 2024, In: Frontiers in Energy Research. 12, 10 p., 1340635.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile19 Downloads (Pure) -
Conceptual methods for synthesis of reactive distillation processes: recent developments and perspectives
Kiss, A. A., Muthia, R., Pazmiño-Mayorga, I., Harmsen, J., Jobson, M. & Gao, X., 2024, In: Journal of Chemical Technology and Biotechnology. 28 p.Research output: Contribution to journal › Review article › peer-review
Open AccessFile12 Downloads (Pure) -
Deep reinforcement learning for process design: Review and perspective
Gao, Q. & Schweidtmann, A. M., 2024, In: Current Opinion in Chemical Engineering. 44, 10 p., 101012.Research output: Contribution to journal › Review article › peer-review
Open AccessFile29 Downloads (Pure) -
Empirical assessment of ChatGPT’s answering capabilities in natural science and engineering
Schulze Balhorn, L., Weber, J. M., Buijsman, S., Hildebrandt, J. R., Ziefle, M. & Schweidtmann, A. M., 2024, In: Scientific Reports. 14, 1, 11 p., 4998.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile21 Downloads (Pure) -
Enhanced downstream processing of NGL using intensified fluid separation technologies
Bosman, D. B., Li, Q. & Kiss, A. A., 2024, In: Energy. 296, 10 p., 131186.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile9 Downloads (Pure) -
Flowsheet digitization with computer vision, automatic simulation, and flowsheet (auto)completion with machine learning
Schweidtmann, A. M., 2024, IPC No. G05B, Priority date 18 Jul 2022, Priority No. WO 2024/019617 A1Research output: Patent
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Mixed-integer optimisation of graph neural networks for computer-aided molecular design
McDonald, T., Tsay, C., Schweidtmann, A. M. & Yorke-Smith, N., 2024, In: Computers and Chemical Engineering. 185, 21 p., 108660.Research output: Contribution to journal › Article › Scientific › peer-review