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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf Study, Virtual ClassroomVideo and Text Based

Course Overview

The Multiscale Materials Informatics, Discovery and Design programme by IIT Bombay revolves around learning from accelerated design of materials and materials data. Here, ‘material’ indicates a unit cell with regard to atomistic. This material is also in the context of an RVE at a bigger length scale, for example, in multiphase materials or foams. 

This continuing education programme (CEP) also discusses ‘discovery,’ which means finding new materials via existing datasets. Moreover, the Multiscale Materials Informatics, Discovery and Design course also involve ‘design,’ which applies to thoroughly plan exercises of creating new RVE-optimised or new material against given applications (or properties). 

The Multiscale Materials Informatics, Discovery and Design programme syllabus begins with the very basics and proceeds to teaching advanced computational procedures of material design. You will learn how these methods are conducted via machine learning across numerous length scales. 

What’s more, IIT Bombay provides access to the required programmes via a High-Performance Computing Cluster. This Multiscale Materials Informatics, Discovery and Design course is meant for students (masters, PhD, undergraduates), industry practitioners, and faculty members. 

The Highlights

  • 3-day training
  • IIT Bombay’s CEP
  • Comprehensive syllabus
  • Tutorials
  • Hands-on facility
  • High-Performance Computing Cluster

Programme Offerings

  • IIT Bombay’s faculty
  • Short-term programme
  • Extensive course syllabus
  • High-performance computing cluster

Courses and Certificate Fees

Certificate Availability
no
  • The Multiscale Materials Informatics, Discovery, and Design programme fee varies according to the applicant. You can find the details below.
  • The fee is inclusive of an 18% GST charge as well.

Multiscale Materials Informatics, Discovery and Design course fee structure

Course Applicant 

Fees Payable

Academia (college teachers)

Rs. 15,000 + GST

Overseas/foreign nationals

Rs. 50,000 + GST

Government organisation applicant 

Rs. 15,000 + GST

Student (full-time)

Rs. 10,000 + GST

Industry professional

Rs. 25,000 + GST


What you will learn

Statistical skillsMapping skills

The vast Multiscale Materials Informatics, Discovery, and Design course syllabus is designed to make you adept in: -

  • Fundamentals of Statistics, Bayesian statistics
  • Tensor and vector Mathematics
  • Iterative numerical methods
  • Multiscale methods
  • Multiscale mechanics concepts
  • Temporal and spatial mapping
  • Statistical quantification of various material structures
  • Globally open data sources
  • Data-driven structures
  • Data-driven processes
  • AI-based accelerated materials discovery
  • Material to component procedures
  • Material genome initiatives

Who it is for

The Multiscale Materials Informatics, Discovery and Design course is meant for industry practitioners, faculty members, and students (Masters, PhDs, graduates, and undergraduates). 


Admission Details

  • Click here: https://portal.iitb.ac.in/ceqipapp/courseDetails.jsp?c_id=3403 to visit the Multiscale Materials Informatics, Discovery, and Design course page. 
  • Locate and tap on the ‘Login & Register’ button. 
  • You can sign in via Google or your registered details.
  • If you don’t have an account, create one via the registration option. Provide your active email ID.
  • IIT Bombay will send you the admission form. Provide the required details and submit the form to register for the course.

Application Details

To join the Multiscale Materials Informatics, Discovery, and Design training, you must first complete registration on IIT Bombay’s website. You will receive the registration application in your mail. Here, you must provide your full name, date of birth, gender, residential address, contact number, nationality, country of residence, state, district, city name, and pin code. You must also answer the required question and select a password to register successfully. 

Alternatively, if you’re already registered, you can use the verified email ID and password to continue. 

The Syllabus

Preliminaries of Statistics, Bayesian Statistics
Tensor and vector mathematics
Polynomials
Iterative numerical methods

Review of multiscale mechanics concepts
Temporal and spatial mapping
Downscaling and upscaling in space and time
Statistical quantification of material structures across scales
Reduced-order representations of correlations

  • Concept of materials informatics
  • Knowledge base and numerical fingerprints
  • Worldwide open data sources and tools at multiple length scales
  • Data-driven structure-property linkages
  • Data-driven process - structure linkages
  • Artificial intelligence-based accelerated materials discovery
  • Material genome initiative(s)
Integrated computational materials engineering - material to tentative component tutorials
  • Tutorial A: Understanding Unix and computational hardware
  • Tutorial B: Programming for statistics and other numerical methods
  • Tutorial C: Creating synthetic mesoscale structures for 3D-printed material and analyses
  • Tutorial D: Informatics of phase-field data
  • Tutorial E: Predicting new crystal structures based on ab-initio atomistic data
  • Tutorial F: Mining molecular dynamics data

Instructors

IIT Bombay Frequently Asked Questions (FAQ's)

1: Does the course fee include additional GST?

Yes. The training fee will consist of an 18% GST charge.

2: Who is the programme coordinator?

Professor Alankar Alankar is the Multiscale Materials Informatics, Discovery and Design course coordinator.

3: Can I undertake this Multiscale Materials Informatics, Discovery and Design programme if I haven’t graduated yet?

Yes. This course is open to undergraduates.

4: Do I need my laptop for this course?

Yes. You must bring your laptop with Unix installed. 

5: Is Multiscale Materials Informatics, Discovery and Design a week-long training?

No. This course is just for 3 days.

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