Sustainable Catalysis Pathways in Carbon-Neutral Chemical Systems

Authors

  • Michael Andrew Thompson
  • Daniel R. Foster Department of Industrial and Systems Engineering, Georgia Institute of Technology

Keywords:

Sustainable Catalysis, Carbon Neutrality, Chemical Systems Engineering, Circular Economy, Socio-Technical Infrastructure, Green Chemistry, Industrial Decarbonization.

Abstract

The transition toward a global carbon-neutral economy necessitates a fundamental reconfiguration of the chemical industry, shifting from fossil-based feedstocks to circular, renewable, and electrified processes. At the core of this transition lies the science of catalysis, which must evolve beyond localized efficiency gains toward a systemic integration within sustainable industrial ecosystems. This paper explores the multidimensional pathways of sustainable catalysis, emphasizing the structural trade-offs between catalytic performance, resource scarcity, and large-scale deployment. We analyze the architectural requirements for integrating electro-catalytic and thermo-catalytic systems into volatile renewable energy grids, investigating the challenges of synchronization and systemic robustness. The discussion encompasses the socio-technical dimensions of catalyst development, focusing on the governance of critical mineral supply chains, the ethics of global resource distribution, and the policy frameworks required to incentivize long-term sustainability over short-term economic optimization. Furthermore, the research investigates the role of artificial intelligence and high-throughput informatics in accelerating the discovery of Earth-abundant catalysts, while addressing the computational energy overhead of such digital infrastructures. By synthesizing principles from systems engineering, green chemistry, and socio-political theory, this work provides a comprehensive framework for navigating the complexities of carbon-neutral chemical manufacturing. We argue that the success of sustainable catalysis depends on a holistic governance-by-design approach that prioritizes ecological integrity, social fairness, and infrastructural resilience alongside molecular-level precision.

References

1.Adger, W. N. (2000). Social and ecological resilience: Are they related? Progress in Human Geography, 24(3), 347–364.

2.Armand, M., & Tarascon, J. M. (2008). Building better batteries. Nature, 451(7179), 652–657.

3.Ayyub, B. M. (2014). Systems resilience for multihazard environments: Definition, metrics, and valuation for decision making. Risk Analysis, 34(2), 340–355.

4.Bostrom, N. (2014). Superintelligence: Paths, dangers, strategies. Oxford University Press.

5.Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. W. W. Norton & Company.

6.Chen, B., et al. (2018). Smart factory of Industry 4.0: Key technologies, application case, and challenges. IEEE Access, 6, 6505–6519.

7.Chu, S., & Majumdar, A. (2012). Opportunities and challenges for a sustainable energy future. Nature, 488(7411), 294–303.

8.Dietterich, T. G. (2017). Steps toward robust artificial intelligence. AI Magazine, 38(3), 3–15.

9.Ellen MacArthur Foundation. (2015). Towards a circular economy: Business rationale for an accelerated transition.

10.Floridi, L., & Cowls, J. (2019). A unified framework of five principles for AI in society. Harvard Data Science Review, 1(1).

11.Grieves, M., & Vickers, J. (2017). Digital Twin: Mitigating Bending Resilience in Complex Systems. In Transdisciplinary Perspectives on Complex Systems (pp. 85–113). Springer.

12.Heppelmann, J. E., & Porter, M. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, 92(11), 64–88.

13.Hey, T., Tansley, S., & Tolle, K. (2009). The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research.

14.Hollnagel, E. (2009). The ETTO Principle: Efficiency-Thoroughness Trade-Off. Ashgate Publishing.

15.IPCC. (2022). Climate Change 2022: Impacts, Adaptation, and Vulnerability.

16.Kagermann, H., et al. (2013). Recommendations for implementing the strategic initiative INDUSTRIE 4.0. Acatech.

17.Kusiak, A. (2018). Smart manufacturing must embrace big data. Nature, 544(7648), 23–25.

18.Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for Industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18–23.

19.Linkov, I., & Trump, B. D. (2019). The Science and Practice of Resilience. Springer Nature.

20.Monostori, L. (2014). Cyber-physical production systems: Roots, expectations and R&D challenges. Procedia CIRP, 17, 9–13.

21.NIST. (2020). Four Principles of Explainable Artificial Intelligence. Draft NISTIR 8312.

22.O'Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Broadway Books.

23.Park, J., et al. (2013). Integrating risk and resilience approaches to manage system disruption. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(2), 356–367.

24.Pasquale, F. (2015). The black box society: The secret algorithms that control money and information. Harvard University Press.

25.Reason, J. (1990). Human Error. Cambridge University Press.

26.Schwab, K. (2017). The Fourth Industrial Revolution. Currency.

27.Tao, F., et al. (2018). Digital twin in industry: State-of-the-art. IEEE Transactions on Industrial Informatics, 15(4), 2405–2415.

28.Wang, L., et al. (2015). Current status and advancement of cyber-physical systems in manufacturing. Journal of Manufacturing Systems, 37, 517–527.

29.Wiener, N. (1948). Cybernetics: Or Control and Communication in the Animal and the Machine. MIT Press.

30.Woods, D. D. (2015). Four concepts for resilience and the implications for the design of resilient systems. Reliability Engineering & System Safety, 141, 5–9.

31.Zhong, R. Y., et al. (2017). Intelligent manufacturing in the context of Industry 4.0: A review. Engineering, 3(5), 616–630.

32.Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. PublicAffairs.

Downloads

Published

2026-03-05

How to Cite

Thompson, M. A. ., & Daniel R. Foster. (2026). Sustainable Catalysis Pathways in Carbon-Neutral Chemical Systems. International Journal of Chemistry, Materials and Catalysis, 1(1). Retrieved from https://isipress.org/index.php/IJCMC/article/view/38