Advancing Materials Science Through Data Science:
Innovations, Applications and Challenges
DSAA 2024 Special Session

The 11th IEEE International Conference on Data Science and Advanced Analytics
(DSAA 2024)
San Diego, CA, United States
October 6th - 10th, 2024

Aim and Scope

Some of the most exciting and great opportunities for Data Science are found within the realm of Materials Science (MS), a field that aims not just to enhance our comprehension of existing materials but also to innovate and perhaps radically create new materials. These new materials have the potential to revolutionize a broad range of applications, from energy generation and storage to healthcare innovations, space exploration technologies, agricultural advancements, telecommunications infrastructure, and the computing industry. The collaboration between data science and materials science promises to unlock new frontiers in material properties and applications, enabling the development of materials with unprecedented performance, efficiency, and functionality. 

By harnessing the power of data analytics, machine learning, and artificial intelligence, researchers and scientists can predict material behaviors, discover materials with novel properties, and optimize their application in various industries. This collaborative effort extends the boundaries of what is currently achievable, facilitating the discovery of materials that are stronger, more durable, more efficient, or possess unique characteristics required for cutting-edge technological advancements. For instance, the development of new energy materials could lead to batteries with significantly higher energy densities and faster charging times, transforming the landscape of energy storage and consumption.

Moreover, the integration of data science in materials science not only accelerates the pace of discovery but also enables a more systematic approach to materials design. This approach leverages vast datasets of material properties and computational models to guide the experimental synthesis of materials, reducing the time and cost associated with traditional trial-and-error methods. The implications of this integration are profound, offering solutions to some of the most pressing global challenges, including sustainable energy, environmental protection, and human health.

We believe the synergy between data science and materials science holds the key to unlocking a new era of material innovation. By exploring this fertile ground, scientists and engineers are poised to create materials that will power the next generation of technological advancements across a spectrum of sectors. The future of materials science, enriched by data science, promises not only to better understand the world around us but also to improve it, opening up a realm of possibilities that were once deemed beyond our reach.

Key Dates