
Scilight Press is an international academic publishing house specializing in peer-reviewed open-access journals and books. We are committed to advancing knowledge and fostering academic discourse.


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Wastewater Resource Recovery
Wastewater resource recovery is pivotal for achieving circular economies and mitigating environmental degradation. This field integrates technological innovation, process optimisation, and sustainability frameworks to transform wastewater into energy, nutrients, and reusable materials. Below is a research roadmap aligned with global priorities and recent breakthroughs. Topics include: Phosphorus and nitrogen recovery Heavy metal and rare element extraction Energy harvesting from wastewater Resource utilisation of high salt wastewater Smart systems for process optimisation Sustainability and policy frameworks Keywords : phosphorus; nitrogen; heavy metals; rare earths; separation; sustainability; low-cost. Instructions for Authors Editor-in-Chief : Prof. Bing-Jie Ni Please contact the editorial office at iwt @sciltp.com if you have any questions.
Innovations in Water Treatment
Deadline:2025-10-31

Call for Papers — Inaugural Issue of Photochemistry and Spectroscopy
We are pleased to announce the launch of Photochemistry and Spectroscopy , a new peer-reviewed international journal dedicated to publishing high-quality, cutting-edge research in all areas of photochemistry and spectroscopy. With a strong commitment to scientific excellence and innovation, the journal provides a vibrant platform for the dissemination of original research, critical reviews, and insightful perspectives spanning both fundamental and applied aspects of these dynamic and interdisciplinary fields. We now invite submissions for the inaugural issue of the journal, which will be dedicated to the theme: Photochemistry and Spectroscopy . This first issue aims to bring together outstanding contributions that reflect the breadth and depth of current research in these areas, including but not limited to: molecular photophysics, ultrafast spectroscopy, photoinduced processes, advanced spectroscopic techniques, light–matter interactions, and the design and characterization of photoactive materials and systems. We welcome contributions from researchers across academia, industry, and research institutions, and particularly encourage the submission of works that explore emerging concepts, interdisciplinary approaches, or novel methodologies. The peer-review process will be rigorous, fair, and constructive, ensuring the highest standards of scientific integrity and quality. Accepted papers will be published online immediately upon acceptance and will be part of the official inaugural issue, scheduled for December 2025 . Join us in shaping the scientific impact and visibility of Photochemistry and Spectroscopy from its very first issue. Submission is now open via the journal’s online portal. We look forward to receiving your contribution. For more information and to submit your manuscript, please visit: https://ojs.sciltp.com/journals/ps/about/submissions Editorial Team Photochemistry and Spectroscopy Editor-in-Chief: Prof. Dr. Rui Fausto Please contact the editorial office at ps@sciltp.com if you have any questions.
Photochemistry and Spectroscopy
Deadline:2025-12-31

Intelligent model methods and water treatment
The water treatment sector generates vast amounts of experimental and operational data, yet these datasets remain critically underutilised in advancing intelligent modelling approaches. Such data-driven methodologies are pivotal for enabling predictive analytics, process optimisation, and autonomous control systems in water/wastewater management. We are committed to addressing persistent challenges in developing AI-enhanced computational models that bridge data science with environmental engineering applications. Submissions must not overlap with works that have been published or that are simultaneously being considered for publication elsewhere. Topics of interest include, but are not limited to, the following: Intelligent model methods for water and wastewater treatment process Intelligent model methods for sludge treatment process Intelligent model methods for environmental materials design and optimisation Intelligent model methods for environmental chemistry Keywords : Machine learning; Data-driven model; Environmental engineering; Predictive process control; Smart material optimisation; Resource recovery Instructions for Authors Editor-in-Chief : Prof. Bing-Jie Ni Please contact the editorial office at iwt @sciltp.com if you have any questions.
Innovations in Water Treatment
Deadline:2025-10-31