Aims & Scope

Aims

Environmental Materials Advances (EMA) is a journal dedicated to advancing research on functional materials for environmental pollution control, remediation, and sustainable resource recovery. EMA provides a dynamic platform for researchers to share groundbreaking discoveries, innovative technologies, and transformative applications of novel environmental materials. By fostering interdisciplinary collaboration and academic exchange, the journal accelerates the development and deployment of cutting-edge solutions to global environmental challenges.

EMA welcomes high-quality contributions in the form of original research articles, reviews, mini-reviews, perspectives, and short communications, all focused on the design, synthesis, characterization, and application of advanced environmental materials. It is published quarterly online by Scilight Press.

Scope

  • Environmental Materials Advances (EMA) covers cutting-edge research on the development, characterization, and application of advanced materials for environmental sustainability. Key topics include, but are not limited to:
  • Environmental Nanomaterials: Synthesis, functionalization, and applications of nanomaterials for pollution control.
  • Functional Materials for Environmental Remediation: Innovative materials for the treatment of aqueous, soil, and atmospheric contaminants.
  • Green Synthesis and Sustainable Material Design: Eco-friendly fabrication methods and directional design strategies for high-performance environmental materials.
  • Modeling, Theory, and Computational Approaches: Predictive modeling, theoretical studies, and computational insights into material behavior and environmental interactions.
  • Microstructure and Formation Mechanisms: Fundamental understanding of material architectures, phase transitions, and growth dynamics relevant to environmental applications.
  • Life Cycle Assessment (LCA) of Environmental Materials: Evaluating the sustainability, environmental impact, and circular economy potential of materials.
  • AI and Machine Learning in Material Innovation: Data-driven design, optimization, and deployment of smart materials for environmental solutions.

EMA encourages interdisciplinary research that bridges materials science, environmental engineering, chemistry, and computational science to address pressing ecological challenges.