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Course11310451778 lectures

Artificial Intelligence and Machine Learning in Materials Engineering

Prof. Krishanu Biswas · IIT Kanpur

Start with lecture 1 At NPTEL

About

Artificial intelligence (AI) has taken the center-stage of material development due to rapid increase of the computational power and speed. The use of AI is rapidly picking up for high throughput screening and decision making for materials chemistry, property estimation and optimization of properties. As the need of new materials with improved properties is felt across the discipline, the accelerated design and development has become a key aspect of material science and engineering. The the need for use of AI and machine learning has widely been felt to design new materials with better properties The course is intended to provide this some basics aspects of use of AI and ML in materials science and engineering. Starting with processing -structure-property correlation, the basic computational tools will be deliberated with application of machine learning and deep learning. The application of AI-ML will be discussed with some case studies and examples.

Intended audience: UG, PG from Academic Institutes and Industry Professionals from various Industries

Prerequisites: Basic concept on Materials Science

Lectures

Week 1

  1. Lecture 01 (Part I)- Introduction to the Course - Part 1 YouTube
  2. Lecture 01 (Part II) - Introduction to the Course - Part 2 YouTube
  3. Lecture 02 (Part I) - Introduction to AI-Part 1 YouTube
  4. Lecture 02 (Part II)- Introduction to AI-Part 2 YouTube
  5. Lecture 03 - Basics of Materials Science - I YouTube

Week 2

  1. Lecture 4 - Basics of Materials Science - II YouTube
  2. Lecture 5(Part-I) - Basics of Materials Science -III YouTube
  3. Lecture 5 (Part-II) - Basics of Materials Science -IV YouTube

Week 3

  1. Lecture 6 (Part - I): Basics of Materials Science - V YouTube
  2. Lecture 6 (Part - II): Basics of Materials Science - VI YouTube
  3. Lecture 7 (Part - I): Basics of Materials Science - VII YouTube
  4. Lecture 7 (Part - II): Basics of Materials Science - VIII YouTube
  5. Lecture 8 (Part - I): Basics of Materials Science - IX YouTube
  6. Lecture 8 (Part - II): Basics of Materials Science - X YouTube
  7. Lecture 9 (Part - I): Basics of Materials Science - XI YouTube
  8. Lecture 9 (Part - II): Basics of Materials Science - XII YouTube

Week 4

  1. Lecture 10 (Part I): Basics of Materials Science - XIII YouTube
  2. Lecture 10 (Part II): Basics of Materials Science - XIV YouTube
  3. Lecture 11 (Part I): Basics of Materials Science - XV YouTube
  4. Lecture 11 (Part II): Basics of Materials science - XVI YouTube
  5. Lecture 12 (Part I): Basics of Materials Science - XVII YouTube
  6. Lecture 12 (Part II): Basics of Materials Science - XVIII YouTube

Week 5

  1. Lecture 13 (Part I): Basics of materials Science - XIX YouTube
  2. Lecture 13 (PART II): Basics of Materials Science - XX YouTube
  3. Lecture 14 (Part 1): Basics of Materials Science XXI YouTube
  4. Lecture 14 (Part II): Basics of Materials Science - XXII YouTube
  5. Lecture 15 (Part I): Machine Learning Algorithms YouTube
  6. Lecture 15 (Part II): Machine Learning Algorithms YouTube

Week 6

  1. Lecture 16 (Part I) : Machine Learning Algorithm -I YouTube
  2. Lecture 16 (Part II) : Machine Learning Algorithm-II YouTube
  3. Lecture 17 (Part I): Machine Learning Algorithms -III YouTube
  4. Lecture 17 (Part II): Machine Learning Algorithms -IV YouTube
  5. Lecture 18 (Part I) : Machine Learning Algorithms -V YouTube
  6. Lecture 18 (Part II): Machine Learning Algorithms - VI YouTube

Week 7

  1. Lec. 19 (Part 1): Machine Learning Algorithms - VII YouTube
  2. Lec. 19 (Part 2): Machine Learning Algorithms - VIII YouTube
  3. Lec. 20 (Part 1): Machine Learning Algorithms - IX YouTube
  4. Lec. 20 (Part 2): Machine Learning Algorithms - X YouTube
  5. Lec. 21 (Part 1): Machine Learning Algorithms - XI YouTube
  6. Lec. 21 (Part 2): Machine Learning Algorithms - XII YouTube

Week 8

  1. Lec. 22 (Part 1): Machine Learning Algorithms - XIII YouTube
  2. Lec. 22 (Part 2): Machine Learning Algorithms - XIV YouTube
  3. Lec. 23 (Part 1): Machine Learning Algorithms - XV YouTube
  4. Lec. 23 (Part 2): Machine Learning Algorithms - XVI YouTube
  5. Lec. 24 (Part 1): Machine Learning Algorithms - XVII YouTube
  6. Lec. 24 (Part 2): Machine Learning Algorithms - XVIII YouTube

Week 9

  1. Lec. 25 (Part 1): Deep learning methods - I YouTube
  2. Lec. 25 (Part 2): Deep learning methods- II YouTube
  3. Lec. 26 (Part 1): Deep Learning methods- III YouTube
  4. Lec. 26 (Part 2): Deep Learning methods- IV YouTube
  5. Lec. 27 (Part 1): Deep Learning methods- V YouTube
  6. Lec. 27 (Part 2): Deep Learning methods- VI YouTube

Week 10

  1. Lec. 28 (Part 1): Deep Learning Methods- VII YouTube
  2. Lec. 28 (Part 2): Deep Learning Methods- VIII YouTube
  3. Lec. 29 (Part 1): Application of ML and AI in Materials Sciences- I YouTube
  4. Lec. 29 (Part 2): Application of ML and AI in Materials Sciences- II YouTube
  5. Lec. 30 (Part 1): Application of ML and AI in Materials Sciences- III YouTube
  6. Lec. 30 (Part 2): Application of ML and AI in Materials Sciences- IV YouTube
  7. Lec. 31 (Part 1): Application of ML and AI in Materials Sciences- V YouTube
  8. Lec. 31 (Part 2): Application of ML and AI in Materials Sciences- VI YouTube

Week 11

  1. Lec. 32 (Part I): Molecular Dynamics Simulation - I YouTube
  2. Lec. 32 (Part II): Molecular Dynamics Simulation - II YouTube
  3. Lec. 33 (Part I): Density Functional Theory (DFT) - I YouTube
  4. Lec. 33 (Part II): Density Functional Theory (DFT) - II YouTube
  5. Lec. 34 (Part 1): Advanced Deep Learnig - I YouTube
  6. Lec. 34 (Part 2): Advanced Deep Learning - II YouTube
  7. Lec. 35 (Part 1): Advanced Deep Learning - III YouTube
  8. Lec. 35 (Part 2): Advanced Deep Learning - IV YouTube
  9. Lec. 36 (Part 1): Data Processing and Error Analyses - I YouTube
  10. Lec. 36 (Part 2): Data Processing and Error Analyses - II YouTube

Week 12

  1. Lec. 37 (Part I): Material Informatics- I YouTube
  2. Lec. 37 (Part II): Material Informatics- II YouTube
  3. Lec. 38 (Part I): Materials Knowledge & Materials Data Science, Material Informatics- I YouTube
  4. Lec. 38 (Part II): Materials Knowledge & Materials Data Science, Material Informatics- II YouTube
  5. Lec. 39 (Part I): Materials knowledge & materials data science, Material informatics- III YouTube
  6. Lec. 39 (Part II): Materials Knowledge & Materials Data Science, Material Informatics- IV YouTube
  7. Lec. 40 (Part I): Materials Knowledge & Materials Data Science, Material Informatics- V YouTube
  8. Lec. 40 (Part II): Conclusion YouTube

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Kanpur
Department
Metallurgy and Material Science
Teacher
Prof. Krishanu Biswas
Level
Undergraduate
Language
English
Subjects
Engineering
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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