Vol. 7 No. 1 (2026)

Standard Journal Issues

Artificial Intelligence and Knowledge-Based Engineering for the Design of Environmental Nanomaterials: A Review

Published 2026-03-10

  • Konda Reddy Gondi
    • ,
  • Sreenivasulu Surisetty
    • ,
  • Damodhar Reddy
    • ,
  • S. Bhaskar
    • ,
  • P. Sneha

Konda Reddy Gondi
Department of Mechanical Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, TG, India

Sreenivasulu Surisetty
Department of Mechanical Engineering, Sreenidhi Institute of Science and Technology, Hyderabad, TG, India

Damodhar Reddy
Department of Electrical & Electronics Engineering, Institute of Aeronautical Engineering, Hyderabad, TG, India

S. Bhaskar
Department of Mechanical Engineering, Siddartha Educational Academy Group of Institutions, Tirupati, AP, India

P. Sneha
Department of Mechanical Engineering, Siddartha Educational Academy Group of Institutions, Tirupati, AP, India

Abstract

AI and KBE have been commonly applied into designing environmental nanomaterials to enhance performance, sustainability, and innovation. This review focused on how applying AI’s tools such as machine learning, expert systems, predictive modeling techniques and KBE frameworks accelerates material discovery time in addition to enhancing structural design optimization and decision making for environmental applications also. Case studies illustrate applications of the computing tools to integrate experimental work in water purification, pollution control, and renewable energy. The paper makes recommendations for the revision of existing methods and new areas of investigation for intelligent adaptive and sustainable frameworks for nanomaterial design.

Keywords

Artificial Intelligence, Knowledge-Based Engineering, Environmental Nanomaterials, Machine Learning, Environmental Remediation

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