Optimizing methanol synthesis from CO2 using graphene-based heterogeneous photocatalyst under RSM and ANN-driven parametric optimization for achieving better suitability

Author:

Kumar Ramesh1,Nayak Jayato2,Chowdhury Somnath3,Nayak Sashikant4,Banerjee Shirsendu4,Basak Bikram56,Siddiqui Masoom Raza7,Khan Moonis Ali7ORCID,Chatterjee Rishya Prava8,Singh Prashant Kumar9,Chung WooJin10,Jeon Byong-Hun1ORCID,Chakrabortty Sankha4ORCID,Tripathy Suraj K.4

Affiliation:

1. Department of Earth Resources & Environmental Engineering, Hanyang University, 222-Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea

2. Centre for Life Science, Mahindra University, Hyderabad, Telangana 500043, India

3. Department of Chemical Engineering, NIT Durgapur, M.G. Avenue, 713209, West Bengal, India

4. School of Chemical Technology, Kalinga Institute of Industrial Technology, Bhubaneswar, Odisha, India-751024

5. Centre for Creative Convergence Education, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea

6. Petroleum and Mineral Research Institute, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Republic of Korea

7. Chemistry Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia

8. RCI Office, National Institute of Technology Durgapur, M.G. Road, Durgapur, 713209, West Bengal, India

9. Department of Biochemistry, University of Lucknow, Lucknow-226007, Uttar Pradesh, India

10. Department of Environmental Energy Engineering, Kyonggi University, Suwon 16227, Republic of Korea

Abstract

Assessment of the performance of linear and nonlinear regression-based methods for estimating in situ catalytic CO2 transformations employing TiO2/Cu coupled with hydrogen exfoliation graphene (HEG) has been investigated.

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

King Saud University

Publisher

Royal Society of Chemistry (RSC)

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