Aim
NextGen Catalysis (NGC) aims to advance cutting-edge research and innovation in catalytic science and technology, with a particular emphasis on sustainable, efficient, and next-generation catalytic systems for energy, environment, and industrial applications. The journal publishes high-quality, peer-reviewed research that promotes fundamental understanding, technological breakthroughs, and practical applications in catalysis across interdisciplinary fields.
NGC welcomes original research articles, reviews, perspectives, and short communications in, but not limited to, the following areas:
Single-atom catalysis.
Photocatalysis and electrocatalysis.
Plasmonic and quantum dot catalysis.
AI and machine learning in catalyst design.
Biocatalysis and enzyme engineering.
CO₂ utilization and conversion.
Catalysis for hydrogen production and storage.
Waste-to-energy catalytic processes.
Process intensification and reactor design.
Catalyst deactivation and regeneration.
Techno-economic and life-cycle analysis.
Case studies from petrochemical, pharmaceutical, and agrochemical sectors.
Reaction mechanisms and kinetics.
In situ and operando spectroscopy.
Computational catalysis and DFT studies.
Catalyst-support interactions.
Catalysis for clean water and air.
Catalysis in developing economies.
Catalysis for circular economy and recycling.
Catalysis in food and agriculture.
It is published quarterly online by Scilight Press.
Scope
The journal's scope encompasses, but is not limited to, the following areas:
- Design, synthesis, characterization, and optimization of catalytic materials and catalytic systems.
- Homogeneous, heterogeneous, enzymatic, and hybrid catalysis.
- Photocatalysis, electrocatalysis, thermocatalysis, and plasma catalysis.
- Catalytic processes for renewable energy conversion, storage, and utilization.
- Catalysis for carbon neutrality, CO₂ reduction, and sustainable chemical production.
- Green chemistry and environmentally benign catalytic technologies.
- Advanced characterization techniques and operando/in situ analysis of catalysts.
- Computational modeling, reaction engineering, and data-driven catalyst discovery.
- Catalyst stability, deactivation mechanisms, and regeneration strategies.
- Industrial translation, pilot-scale studies, and commercialization of catalytic technologies.
- Catalytic applications in environmental remediation, fine chemicals, pharmaceuticals, petrochemicals, agriculture, and materials synthesis.
- Artificial intelligence, machine learning, and high-throughput screening in catalysis research.
We particularly encourage interdisciplinary submissions that bridge chemistry, materials science, chemical engineering, environmental science, energy science, physics, computational modeling, and data science. Manuscripts should provide novel scientific insights, innovative methodologies, or impactful technological advances that contribute to the future development of catalytic science and sustainable industrial transformation.