C. K. Chyong, E. Italiani and N. Kazantzis, 2023, Implications of the Inflation Reduction Act on the Deployment of Low-Carbon Ammonia Technologies, Working Paper Series: WP 2023-21, MIT Center on Energy and Environmental Policy Research (CEEPR), Massachusetts Institute of Technology, Cambridge, MA.
D. Bigestans, M. A. Cardin and N. Kazantzis, 2023, " Economic Performance Evaluation of Flexible Centralised and Decentralised Blue Hydrogen Production Systems Under Uncertainty ", Applied Energy, vol. 352, 121944.
H. V. Alvarez, G. Fabiani, N. Kazantzis, C. Siettos and I. G. Kevrekidis, 2023, Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning, Journal of Computational Physics, vol. 492, 112408.
M. Shahabuddin, E. Italiani, A. R. Teixeira, N. Kazantzis and M. T. Timko, 2023, "A Roadmap for Deployment of Modularized Hydrothermal Liquefaction: Understanding the Impacts of Industry Learning, Optimal Plant Scale and Delivery Costs on Biofuel Pricing", ACS Sustainable Chemistry and Engineering, vol. 11, pp. 733-743. 2023
D. Webbe-Wood, W. Nuttall, N. Kazantzis and C. K. Chyong, 2023, " The Options Value of Blue Hydrogen in a Low Carbon Energy System ", University of Cambridge Working Paper Series in Economics No. CWPE2338 and Energy Policy Research Group Working Paper Series No. 2309, University of Cambridge, Cambridge, UK.
E. R. Belden, M. Rando, O. G. Ferrara, E. T. Himebaugh, C. A. Skangos, N. K. Kazantzis, R. C. Paffenroth and M. T. Timko, 2023, Machine Learning Predictions of Oil Yields Obtained by Plastic Pyrolysis and Application to Thermodynamic Analysis, ACS Engineering Au, vol. 3, pp. 91-101 2023
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