AI for Improved Nanotechnology
Design smarter nanomaterials, accelerate nano-innovation, and explore real-world nanotechnology applications using accessible AI tools.
About This Course
AI for Improved Nanotechnology is a 3-day hands-on workshop designed to introduce participants to the intersection of artificial intelligence and nanotechnology. The workshop explores how AI can support nanomaterial synthesis, prediction, optimization, application development, and innovation across sectors such as energy, construction, electronics, robotics, environment, consumer products, drug delivery, diagnosis, and medicine.
Through demonstrations, literature-based examples, free AI web tools, computer algorithms, and interactive activities, participants will understand how AI can make nanotechnology research and applications faster, more efficient, and more accessible.
Aim
The aim of this workshop is to help participants understand how artificial intelligence can be used to improve nanotechnology research, nanomaterial development, and real-world nano-enabled applications through practical tools, demonstrations, and application-based learning.
Workshop Objectives
- Understand basic nanotechnology concepts and nanomaterials.
- Explore how AI supports nanomaterial synthesis and optimization.
- Use free AI web tools for nano-related applications.
- Study AI applications in nano energy, construction, electronics, robotics, environment, consumer products, drug delivery, diagnosis, and medicine.
- Connect literature examples with commercial and practical approaches.
- Develop and present an AI-assisted nanomaterial concept.
Workshop Structure
📅 Day 1: Introduction to AI and Nanotechnology
- Introduction to Nanotechnology: Fundamental Definitions and Core Concepts
- Understanding Nanomaterials: Properties, Types, and Real-World Importance
- Experiments and Demonstrations of Nanomaterials
- Making Nanomaterials at Home: Simple Demonstration-Based Learning
- AI Use in Nanomaterial Synthesis: Computer Algorithms and Free AI Web Tools
- Reasons to Use AI in Nanomaterial Synthesis and Research Workflows
🛠️ Hands-on:
- Participants will explore free AI websites and tools to understand how AI can support nanomaterial synthesis, idea generation, and experiment planning.
📅 Day 2: Applications of AI in Nanotechnology
- AI in Nano Energy: Literature Examples, Commercialized Approaches, Algorithms, and Free AI Tools
- AI in Nano Construction: Smart Materials, Nanocomposites, and AI-Based Optimization
- AI in Nano Electronics: Nanodevices, Sensors, and AI-Driven Material Design
- AI in Nano Robotics: Nanoscale Systems, Intelligent Control, and Emerging Applications
- AI in Nano Environment: Nanomaterials for Pollution Control, Monitoring, and Sustainability
- AI in Nano Consumer Products: Product Innovation, Safety, and Commercial Applications
🛠️ Hands-on:
- Participants will use free AI websites to explore application-based nanotechnology examples and generate AI-assisted ideas for nano energy, electronics, robotics, environment, and consumer products.
📅 Day 3: AI in Nano Healthcare, Interactive Activity, and Summary
- AI in Nano Drug Delivery: Literature Examples, Commercialized Approaches, Algorithms, and Free AI Tools
- AI in Nano Disease Diagnosis: Nanobiosensors, Diagnostic Platforms, and AI-Based Interpretation
- AI in Nano Medicine: Personalized Medicine, Therapeutic Nanomaterials, and Emerging Healthcare Applications
- Experiments and Demonstrations Related to AI-Enabled Nanotechnology Applications
- Workshop Summary: Key Learnings, Applications, and Future Opportunities in AI and Nanotechnology
🛠️ Hands-on:
- Interactive Activity: Participants will use AI to develop a nanomaterial for an application of their choosing and present their results.
Important Dates
Registration Ends
May 7, 2026
IST 2 : 00 PM
Workshop Dates
May 7, 2026 – May 9, 2026
IST 3 : 00 PM
Workshop Outcomes
- Explain the role of AI in nanotechnology.
- Identify AI applications in nanomaterial synthesis and nano-enabled products.
- Use free AI tools for basic nanotechnology problem-solving.
- Understand AI use cases across healthcare, energy, electronics, construction, environment, and robotics.
- Design a basic AI-supported nanomaterial application idea.
- Present a practical nano-AI solution clearly.
Meet Your Mentor(s)

Fee Structure
Student Fee
₹2499 | $75
Ph.D. Scholar / Researcher Fee
₹3499 | $85
Academician / Faculty Fee
₹4499 | $95
Industry Professional Fee
₹6499 | $120
What You’ll Gain
- Live & recorded sessions
- e-Certificate upon completion
- Post-workshop query support
- Hands-on learning experience
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