multi-product biorefineries, biomass conversion, biofuels production, value-added products, sustainable bioenergy, biorefinery advancements, biomass feedstocks, circular bioeconomy
John SU, Okey-Onyesolu CF, Ezechukwu CMJ, Onyenanu CN, Achugbu EO, John CM. Machine Learning-enhanced Copper (I) Thiocyanate-based Perovskite-silicon Tandem Solar Cells: Optimization Strategies for Enhanced Effi ciency and Stability. Arch Case Rep. 2025, 9(3): 081-0131 Perovskite tandem solar-cells, CuSCN hole transport-layer, Machine learning-based optimization, Interface-engineering, Power conversion-effi ciency, Scalability and stability, Renewable-energy technologies
Sustainable Aviation Fuel (SAF), Biorefinery Optimization, Biomass Conversion, Catalytic Processes, Catalyst Design, Renewable Feedstocks
Sustainable Biodiesel: Integrating Technology, Policy, and Economics for a Greener Future
Biodiesel production, Renewable energy, Feedstock innovations, Industrial biodiesel applications, Biodiesel scalability, Environmental impact, Life cycle assessment, Carbon footprint reduction, Biodiesel sustainability