AI-Designed Sustainable Conducting Polymers for Green Electronics

Aim

Workshop Objectives

Workshop Structure

📅 Day 1: Foundations – Conducting Polymers, Sustainability & AI

• Theme: Materials fundamentals + sustainability context + AI basics
• Introduction to conducting polymers for green electronics
• Overview of PEDOT, polyaniline, polypyrrole, and bio-based systems
• Charge transport mechanisms in polymers
• Applications in sensors, flexible devices, and energy storage
• Environmental challenges of conventional conducting polymers
• Bio-based and biodegradable conducting polymers
• Life Cycle Assessment (LCA) for electronic materials
• Toxicity, recyclability, eco-design principles, and regulatory standards
• AI & Materials Informatics fundamentals for polymer design
• Data sources: experiments, simulations, and literature mining
• Overview of ML, DL, generative AI, and end-to-end AI workflow for materials discovery

📅 Day 2: AI-Driven Design & Optimization

• Theme: Prediction, optimization, and sustainability integration
• Machine learning for conducting polymer property prediction
• Feature extraction: structure, dopants, and processing parameters
• Predicting conductivity, bandgap, stability, and mechanical properties
• Regression and classification models for materials performance
• Model evaluation techniques and uncertainty estimation
• AI-guided monomer and dopant selection
• Process optimization for greener synthesis routes
• Reinforcement and composite design (nanocellulose, graphene, CNTs)
• Reducing energy and chemical footprint using AI
• AI-enabled sustainability assessment and carbon footprint prediction
• Design-for-recycling, circular electronics, and trade-off analysis

📅 Day 3: Hands-On, Case Studies & Translation

• Theme: Practical exposure + real-world applications
• Hands-on AI session (Google Colab / Jupyter)
• Working with conducting polymer datasets
• Building ML models to predict conductivity or stability
• Visualization and interpretation of results
• Decision-making for sustainable material selection
• Case studies: AI-designed polymers for flexible and wearable electronics
• Sustainable sensors, bioelectronics, and energy harvesting applications
• Generative AI for novel polymer structure design
• Scaling sustainable conducting polymers from lab to market
• IP strategy, patents, and technology transfer
• Industry–academia collaboration models and funding opportunities
• Open discussion & participant interaction

Who Should Enrol?

Important Dates

Workshop Outcomes

Meet Your Mentor(s)

Garima Singh, PhD

Scientific Technical Officer

Biotechnology| Nanotechnology| Biopolymer|

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