AI driven material innovation for sustainable energy

Topic Name:

AI driven material innovation for sustainable energy

AIM4SE

Objectives

The goal of this project is to integrate AI and ML tools with basic scientific experimental research on materials, with computational science serving as a link that holds these two elements together.

The key objectives are:

  1. Enhance Existing Materials / Design New Materials
  • Utilize AI and ML algorithms to predict novel materials and their properties.
  • Focus on suitability for sustainable energy applications such as:

Solar cells, Batteries, Fuel cells, Energy-efficient devices  

  1. Synthesis and Characterization
  • Experimentally synthesize AI/ML predicted materials.
  • Confirm their properties through various characterization techniques.
  1. Testing for Sustainable Energy Applications
  • Evaluate the synthesized materials in real-world energy applications.

Issues Involved

The development of materials for sustainable energy faces two main challenges: accurately predicting material properties, efficiently synthesizing and reproducing them.

Traditional methods are time consuming, expensive, and often rely on trial and error. To overcome these hurdles, we aim to use AI and ML tools which can predict material properties and guide the synthesis process. This would accelerate the invention of efficient materials for energy applications.

Additionally, using AI and ML for material synthesis is hindered by the lack of available and reliable experimental data. Building a robust database of reproducible experimental data is crucial but challenging. For this, we aim to develop new machine learning models which can predict and validate synthesis outcomes and help identify and correct inconsistencies in the data.

Hence, this project offers the opportunity to work by applying AI and ML to solve real-world problems in material development for sustainable energy solutions. 

Team Lead

Dr Heena Shevde

Email ID: heena.shevde@nmims.edu

Team Members

Dr Ajay Phirke

Email ID: ajay.phirke@nmims.edu 

Dr. Arti Hadap

Email ID: arti.hadap@nmims.edu           

Dr. Kuntal Chakrabarti

Email ID: kuntal.chakrabarti@nmims.edu 

Dr. Vineet Panchal

Email ID: Vineet.panchal@nmims.edu 

Dr. Ketakee Durve

Email ID: Ketakee.durve@nmims.edu 

Dr. Geetanjali Ashtekar

Email ID: geetanjali.ashtekar@nmims.edu 

Ms. Priyanka Verma

Email ID: Priyanka.verma@nmims.edu