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Nanotechnology · Moderate · Video-based learning

Catalysis and Artificial Intelligence (AI) for CO₂ Mitigation

Catalysis Meets AI: Transforming CO₂ into Tomorrow’s Fuel.

★ 4.3 (10 ratings)Access 24/7 · 365 daysVideo lectures of 3+ hrsCertificate
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About This Course

The rapid rise in atmospheric CO₂ has led to severe climate change impacts worldwide, demanding urgent and innovative solutions. Catalysis and AI present a unique convergence—where advanced materials science meets intelligent data-driven optimization—to accelerate breakthroughs in CO₂ mitigation.
This 3-day mentor-led program introduces participants to state-of-the-art techniques for CO₂ capture and conversion, covering sorbents like graphene, MOFs, COFs, and zeolites, alongside catalytic reduction methods ranging from borohydrides to electrocatalysis, photocatalysis, and biocatalysis. AI’s role in predictive catalyst design, process optimization, and simulation will also be discussed, preparing participants to tackle both academic and industrial challenges in carbon management.

Aim

This workshop aims to bridge the fields of catalysis, chemistry, and artificial intelligence in tackling CO₂ emissions. Participants will gain knowledge of carbon capture, catalytic conversion, and AI-driven solutions for mitigating climate change. The program emphasizes both theoretical insights and industrially adaptable applications.

Course Objectives

  • To understand the role of CO₂ in climate change and the greenhouse effect.
  • To explore advanced sorbents and adsorbents for CO₂ capture.
  • To analyze catalytic and AI-driven pathways for CO₂ conversion into fuels and chemicals.
  • To develop skills in applying AI/ML for catalyst design and process optimization.
  • To prepare participants for industrial and research roles in carbon mitigation technologies.
Next: Syllabus →

Syllabus

Module 1 – CO₂ Emissions, Capture & Sorbents

  • Climate science basics: GHGs, radiative forcing, impacts
  • CO₂ capture & utilization (CCS/CCU): absorption, adsorption, membranes
  • Sorbents: Graphene, Activated Carbon — pore structure, isotherms, selectivity
  • AI intro for capture: datasets, features, baseline ML for adsorption prediction

Module 2 – Catalytic Conversion & AI Design

  • Materials: MOFs, COFs, Zeolites, POMs — structure, uptake, stability
  • CO₂ → fuels/chemicals: formate, methanol, syngas; borohydride route
  • Electrocatalysis, photocatalysis, biocatalysis (cyanobacteria) overview
  • AI for catalysts: QSAR/graph ML, model interpretability, rapid candidate ranking

Module 3 – Practical (Hands-On)

  • Data prep: clean/structure adsorption & catalyst datasets
  • Build models (Python): train/test, metrics (R², MAE), feature importance/SHAP
  • Optimization: Cu nanoparticle electrocatalysis; Bayesian/active learning
  • Mini project: end-to-end pipeline → shortlist best CO₂-reduction candidates

Who Should Enrol?

  • Undergraduate/postgraduate degree in Microbiology, Biotechnology, Bioinformatics, Computational Biology, Environmental Science, Chemistry, Chemical Engineering, Nanotechnology, or related fields.
  • Professionals in energy, pharma, chemicals, diagnostics, food safety, or environmental sectors.
  • Data scientists and AI/ML engineers interested in applying their skills to sustainable chemistry and climate technology.
  • Individuals with a keen interest in the convergence of life sciences, chemistry, catalysis, and artificial intelligence.

Course Outcomes

  • Comprehensive understanding of CO₂ capture mechanisms and adsorbents.
  • Knowledge of catalytic, electrocatalytic, photocatalytic, and biocatalytic CO₂ conversion methods.
  • Ability to integrate AI/ML in catalyst discovery and optimization.
  • Exposure to industrial applications and sustainability-driven innovations.
  • Readiness to contribute to research, industry, and policy on CO₂ mitigation.
Next: Fees →

Course fee

Learners in India

₹2,499

Learners outside India

$50

  • Video lectures
  • Study material
  • Certificate after completion
  • 365-day access

Enrol in the course

The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.

Next: FAQ →

Frequently asked questions

How is this course taught?

Through recorded video lectures from the original live workshop, with the study material. Watch at your own pace, any time.

How long do I have access?

365 days from your registration, on your NanoSchool dashboard.

Do I get a certificate?

Yes, an e-certificate after completion, with a QR code anyone can verify and an "Add to LinkedIn" button.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!


(+91) 120-4781-217
WhatsApp +91 99581 61117

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