Vol. 1 No. 5 (2025): Preprints - Advanced Separation Reviews
This issue focuses on the intersection of advanced separation processes and emerging digital technologies to address complex global challenges in chemical and environmental engineering. From mitigating hazardous contaminants and recovering valuable resources to enhancing sustainability and safety, modern engineering increasingly relies on innovative strategies that combine traditional physical methods with computational intelligence. Techniques such as adsorption, distillation, and catalytic conversion are being augmented by artificial intelligence and machine learning to enable real-time optimization, predictive control, and improved scalability. Collectively, these approaches aim to deliver efficient, adaptive, and environmentally responsible solutions for critical problems ranging from waste-to-energy recovery to chemical threat decontamination while advancing toward a more sustainable and resilient future
Published:
19-12-2025
