AI for Green Nanotechnology & Sustainable Nanomanufacturing
Shaping a Sustainable Future with AI-Driven Green Nanotechnology
Skills you will gain:
About Program:
The “AI for Green Nanotechnology & Sustainable Nanomanufacturing-2” workshop covers innovative approaches that combine green nanotechnology with artificial intelligence. By leveraging AI in nanomaterial design and production, this workshop focuses on reducing the environmental impact of nanomanufacturing processes. Participants will gain insights into how AI tools can optimize resource usage, minimize waste, and enhance energy efficiency in nanotech applications.
Day one introduces the fundamentals of green nanotechnology and how AI contributes to sustainable manufacturing. Day two delves into AI-driven designs for sustainable nanomaterials, integrating life cycle analysis (LCA) with AI optimization. The final day looks at the commercialization and market potential of green nanomaterials, with discussions on industrial applications and future directions.
Aim: The workshop aims to explore the synergy between AI and green nanotechnology in creating sustainable nanomanufacturing solutions. Participants will understand how AI can optimize the production and design of eco-friendly nanomaterials. The workshop focuses on AI’s role in reducing the environmental impact of nanotechnology through energy-efficient and low-carbon production processes.
Program Objectives:
- Understand the intersection of AI and green nanotechnology.
- Explore AI-driven optimization in nanomaterial production.
- Learn life cycle analysis (LCA) applications for nanomaterials.
- Discover the commercial viability of sustainable nanomaterials.
- Discuss the future of AI-enhanced green nanomanufacturing techniques.
What you will learn?
Day 1 – Introduction to Green Nanotechnology & AI’s Role
- The concept of green nanotechnology and its environmental impact
- AI’s role in optimizing sustainable nanomaterial production
- Case study: AI in energy-efficient manufacturing of nanomaterials
- Environmental benefits of nanomaterials and AI in lifecycle analysis
Day 2 – AI in Nanomaterial Design for Sustainability
- AI-driven design of nanomaterials with low ecological footprints
- Life cycle analysis (LCA) in nanomaterials and AI integration
- Demonstration: Using AI to optimize the carbon footprint of nanomaterials
- Challenges in implementing green AI models in industry
Day 3 – Industrial Applications & Market Potential of Green Nanotech
- Commercializing sustainable nanomaterials in industries like energy, electronics, and healthcare
- Regulatory policies around sustainable nanotechnology
- Future directions: Scaling AI-based green nanomanufacturing techniques
- Capstone Discussion: Developing a market-ready AI-driven green nanomaterial product
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
- Undergraduate/postgraduate degree in Nanotechnology, Biotechnology, Environmental Science, Materials Science, or related fields.
- Professionals in manufacturing, energy, electronics, healthcare, and environmental sectors.
- Data scientists and AI/ML engineers interested in applying their skills in nanotechnology and sustainable manufacturing.
- Individuals with an interest in green technologies and sustainable development.
Career Supporting Skills
Program Outcomes
- Understanding the integration of AI in the green nanotechnology landscape.
- Practical knowledge on optimizing sustainable nanomaterial design and production.
- Ability to assess and reduce the environmental impact of nanomaterials.
- Hands-on experience in AI-driven lifecycle analysis for nanotechnology.
- Insights into the commercialization and market potential of green nanomaterials.