Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Unlock Carbon Capture & Storage with Physics-Informed Neural Networks teaches a modern hybrid modelling approach. You learn how physics-informed neural networks embed governing physical equations into machine learning, and why that matters for carbon capture and storage — modelling flow, reaction and storage in porous media where pure data-driven models fall short. The course connects PINNs to real CCS modelling problems. You finish able to reason about applying physics-informed neural networks to carbon capture and storage. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course applies physics-informed neural networks (PINNs) to carbon capture and storage — combining physical laws with machine learning to model capture and storage processes.
📋 Course Objectives
1. Explain how physics-informed neural networks work.
2. Embed governing equations into models.
3. Model capture, flow and reaction processes.
4. Model storage in porous media.
5. Apply PINNs to real CCS problems.
👥 Who Should Enroll?
• Process and reservoir engineers
• Scientific-ML researchers
• Carbon-capture professionals
• Students of computational science
🚀 Key Learning Outcomes
• An understanding of PINNs for CCS.
• A physics-plus-ML perspective.
• A climate-tech modelling project.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
AI Fundamentals, Mathematics, and Unlock Carbon Capture & Storage With Physicsinformed Neural Networks (Pinns) Foundations
Implement Capture with Carbon for practical ai fundamentals, mathematics, and unlock carbon capture & storage with physicsinformed neural networks (pinns) foundations applications and outcomes. • Design sustainability with Unlock for practical ai fundamentals, mathematics, and unlock carbon capture & storage with physicsinformed neural networks (pinns) foundations applications and outcomes. • Analyze Capture with Carbon for practical ai fundamentals, mathematics, and unlock carbon capture & storage with physicsinformed neural networks (pinns) foundations applications and outcomes.
Data Engineering, Preprocessing, and Feature Pipelines
Implement Capture with Carbon for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Design sustainability with Unlock for practical data engineering, preprocessing, and feature pipelines applications and outcomes. • Analyze Capture with Carbon for practical data engineering, preprocessing, and feature pipelines applications and outcomes.
Model Architecture, Algorithm Design, and Unlock Carbon Capture & Storage With Physicsinformed Neural Networks (Pinns) Methods
Implement Capture with Carbon for practical model architecture, algorithm design, and unlock carbon capture & storage with physicsinformed neural networks (pinns) methods applications and outcomes. • Design sustainability with Unlock for practical model architecture, algorithm design, and unlock carbon capture & storage with physicsinformed neural networks (pinns) methods applications and outcomes. • Analyze Capture with Carbon for practical model architecture, algorithm design, and unlock carbon capture & storage with physicsinformed neural networks (pinns) methods applications and outcomes.
Training, Hyperparameter Optimization, and Evaluation
Implement Capture with Carbon for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects. • Design sustainability with Unlock for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze Capture with Carbon for practical training, hyperparameter optimization, and evaluation applications and outcomes. Gain hands-on experience and produce real-world projects.
Deployment, MLOps, and Production Workflows
Implement Capture with Carbon for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects. • Design sustainability with Unlock for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze Capture with Carbon for practical deployment, mlops, and production workflows applications and outcomes. Gain hands-on experience and produce real-world projects.
Ethics, Bias Mitigation, and Responsible AI Practices
Implement Capture with Carbon for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Design sustainability with Unlock for practical ethics, bias mitigation, and responsible ai practices applications and outcomes. • Analyze Capture with Carbon for practical ethics, bias mitigation, and responsible ai practices applications and outcomes.
Industry Integration, Business Applications, and Case Studies
Implement Capture with Carbon for practical industry integration, business applications, and case studies applications and outcomes. • Design sustainability with Unlock for practical industry integration, business applications, and case studies applications and outcomes. • Analyze Capture with Carbon for practical industry integration, business applications, and case studies applications and outcomes.
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Capture |
| Covered Tool / Platform | Carbon |
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