Material Informatics and Artificial Intelligence Research Group
MatInforAI
Materials Informatics and Artificial Intelligence Research Group
Material Informatics and Artificial Intelligence
The Material Informatics and Artificial Intelligence Research group focuses on the intersection of materials science, data science, and artificial intelligence. 1 Their core mission revolves around accelerating materials discovery and development by leveraging computational techniques. 2 This involves building sophisticated AI models capable of predicting material properties, designing novel materials with desired characteristics, and optimizing manufacturing processes. 3 They utilize machine learning algorithms, deep learning architectures, and data mining strategies to analyze vast datasets of material properties, experimental results, and computational simulations. 4 This analysis aids in uncovering hidden patterns and relationships, enabling the rapid identification of promising materials for various applications, ranging from energy storage and catalysis to structural materials and electronic devices. 5 The group’s research also delves into developing robust data infrastructure and establishing open-source tools to facilitate collaboration and knowledge sharing within the materials science community.
Research Interests
- Materials Informatics
- Machine Learning
- Battery Electrodes, Semiconductors, Magnetic Materials, and 2D Materials
Latest Publications
Featured Publications
Generative Design of Stable Semiconductor Materials Using Deep Learning And DFT
Data-driven deep generative design of stable spintronic materials
People
Edirisuriya M. Dilanga Siriwardane
Supervisor
Dr. Dilanga Siriwardane is a Senior Lecturer at the University of Colombo's Physics Department, specializing in Materials Informatics and Machine Learning.1 With a PhD from the University of North Dakota, he focuses on the computational study of battery electrodes, semiconductors, magnetic, and 2D materials. 2 His expertise extends to teaching advanced courses like Computational Statistical Mechanics, Machine Learning, and High-Performance Computing. 2 Dr. Siriwardane's research bridges materials science and computational physics, contributing to the development of novel materials through data-driven approaches. His work integrates cutting-edge machine learning techniques to accelerate materials discovery and design.
Udara Maduwantha
Research Student
Udara Maduwantha is a dedicated Graduate Teaching Assistant at the University of Colombo's Physics Department, where he also contributes as a research student within Dr. Dilanga's group. With a strong foundation in computational physics, evidenced by his B.Sc (Hon's) from the same institution, Udara actively engages in both academic and research pursuits. His commitment to the department is further highlighted by his previous role as the Information Technology Director for the Physics Society, demonstrating his blend of technical proficiency and academic engagement. His multifaceted involvement underscores his contribution to the department's educational and research endeavors.
Ravindu Kalhara
Undergraduate Research Student
Ravindu Kalhara is an undergraduate research student actively contributing to Dr. Dilanga's research group at the University of Colombo. Currently pursuing his BSc Honours in Computational Physics, he demonstrates a keen interest in applying computational methods to scientific inquiry. His involvement in Dr. Siriwardane's research signifies his dedication to exploring and understanding complex physical phenomena through computational approaches, gaining valuable experience while completing his degree.
Buddi Oshada Vithanage
Temporary Research Assistant
Buddi Vithanage, an MPhil student under the guidance of Dr. Dilanga Siriwardane, is making strides in computational material science. With a strong foundation from his BSc in Computational Physics, his research leverages computational methods to explore and understand material properties. His work delves into the intricate world of materials, utilizing advanced simulations and modeling techniques. Focusing on computational material science, he contributes to the development and analysis of novel materials, potentially impacting various technological applications. His involvement in Dr. Siriwardane's research group highlights his dedication to advancing scientific understanding through computational approaches.
