Interactive session with Prof Sai Gautam, Dept of Materials Engineering, IISc Bangalore, BTech and MTech ( IIT Madras, Overall topper of both Batches), PhD ( MIT Boston), post doc ( Princeton, USA)
They say, “Engineers build
the world; but it is the Material Scientists who make it stronger.”
Prof. Sai Gautam, faculty member in the prestigious Materials Engineering Department at the Indian Institute of Science (IISc), Bengaluru, held an informative session on “Technologies, Materials and Machine Learning for the students and staff of MAHSS on 30/11/2025.
His explanations – from the behaviour of materials at atomic level to their applications in various engineering fields – opened our eyes to the depth and importance of this field.
As highlighted through the various examples shared by Prof. Sai, in his talk, Material Science involves the creation and study of materials — from metals, polymers and plastics to composites, biomaterials, and semiconductors. These materials then find applications across diverse domains — in energy through lithium ion batteries and sensors, in healthcare through drug delivery systems and joint replacements, in infrastructure via alloys for automobiles and aerospace, and even in everyday life through innovations like biodegradable plastics.
Prof. Sai also guided us through what students typically pursue in the Department of Materials Science and the wide range of career opportunities that follow.
He went on to explain that the life of a Material Scientist typically involves identifying new materials and their applications, as well as enhancing existing materials to improve their performance, efficiency, and sustainability. They work to prevent and postpone material failure, ensuring safety and reliability. They also innovate and refine manufacturing processes to produce components that are stronger and more cost-effective.
Materials Science is thus an inherently interdisciplinary field, drawing insights and advancements from physics, chemistry, computation, and biology to better understand, design, and engineer advanced materials.
The students also learnt about machine learning and how it is a powerful tool in Materials Science, enabling the prediction and modelling of new materials, thereby accelerating discovery and driving scientific progress. The development of physically based modelling for materials research began over a century ago and continues to play a vital role in advancing the field today.
A variety of machine learning techniques are employed in Materials Science, including regression for prediction and classification, and diffusion models for material generation. Neural networks, particularly graph neural networks, offer an intuitive way to represent materials, significantly improving model accuracy and enabling reliable predictions of a wide range of material properties.
The session ended with thanking Prof. Sai Gautam for sharing his invaluable wisdom and time and inspiring many young students to explore this field further. The students also expressed their sincere appreciation and gratitude Mr. Vyankatesh Prabhudesai Sir, for painstakingly organising enriching sessions, such as today’s, which provided them with the exposure needed to make well-informed decisions about their academic and career paths.
By Joshua Desa
Class XI