The integration of artificial intelligence (AI) into environmental science is transforming industries by optimizing processes and improving efficiencies in both green chemistry and renewable energy. AI can accelerate the development of new, more sustainable chemical processes by predicting reaction outcomes, identifying alternative materials, and optimizing energy use. In renewable energy, AI is used to enhance energy management, predict supply and demand fluctuations, and optimize the operation of wind farms and solar panels, maximizing their efficiency. Artificial intelligence in green chemistry and renewable energy offers the potential for significant reductions in energy consumption, waste production, and greenhouse gas emissions. By enabling smarter decision-making and fostering innovation, AI can help drive the adoption of sustainable practices across both fields, accelerating the transition toward a greener and more energy-efficient future.
Title : Local actions, global impact: Community-centered approaches to green chemistry and renewable energy for sustainability
Helena Belchior Rocha, ISCTE-Institituto Universitario de Lisboa, Portugal
Title : Macroalgae: An interesting source of highly diversified specific polysaccharides – Psamal project
Patrick Martin, Unite Transformations & Agroressources, France
Title : Design space filling model, synthesis and evaluation of novel 2-indolinone HIV-1 inhibitors
Rahul Hajare, Sandip University, India
Title : Quinazolines: Green synthesis, characterization and biological activities
Jenifer Robinson, Indian School Alwadi AL Kabir, Oman
Title : Green synthesis and application of a bio emulsion liquid membrane (bio elm) for wastewater pollutant extraction
Manisha Wakle, Ahmedabad University, India
Title : Impact of impurities from recycled materials on battery safety and life cycle
Tshifhiwa Masikhwa, Necsa – South African Nuclear Energy Corporation, South Africa
Title : Design and development of optical sensor for measurement of purity of ethanol
Supriya Santosh Patil, MES Abasaheb Garware College, India
Title : Boosting near-visible H2 generation via TiZn2O4 S-Scheme heterojunction photocatalyst
Asmaa S Morshedy, Egyptian Petroleum Research Institute, Egypt
Title : Chemistry control of peach fruit moth and agriculture high-quality development
Zhongsheng Guo, Northwest A&F University, China
Title : An explainable multi-agent AI framework for sustainable autonomous mobility and electric grid integration
Abhinav Tiwari, York University, United States