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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video 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

ScientistResearch AssociateMaterials Engineer

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