Home News Materials Informatics: Accelerating Materials Research and Design with Artificial Intelligence Conference – August 23 – 25

Materials Informatics: Accelerating Materials Research and Design with Artificial Intelligence Conference – August 23 – 25

Center for Environmental Intelligence (CEI), VinUniversity is honored to co-host the “Materials Informatics: Accelerating Materials Research and Design with Artificial Intelligence” conference from August 23 – 25!

Materials Informatics has emerged as a new subfield, or, in other words, a new ecosystem, of Materials Science & Engineering during about a decade ago or so, since the early 2010s. In this ultra-fast-growing and highly interdisciplinary research and development (R&D) area, Deep Knowledge from multiple fields such as Physics, Chemistry, and Mathematics, Big Data of various natures from Materials Research, and especially advanced Artificial-Intelligent (AI)/Machine-Learning (ML) techniques, are integrated to deepen the understanding and to accelerate the discoveries of new materials for targeted applications. In the last few years, Materials Informatics is blossoming globally with numerous discoveries of novel functional materials, e.g., semiconductors, superconductors, quantum materials, and polymers.

This international workshop is designed with two main objectives, including (1) to introduce and disseminate Materials Informatics and its publicly available infrastructures that were developed in the world during the last decade, and (2) to provide hand-on instructions that allow participants to access the infrastructures, to familiarize with the real problems, and to handle some simple cases in a pedagogical way.

Topics that will be covered in the workshop are, but not limited to:

  1. Materials data generation, management, and dissemination
  2. Data featurization and dimensionality reduction
  3. Approaches to handle data scarcity, including transfer, active, and multi-task learning
  4. Novel AI-based methods for materials data learning and inverse design of materials
  5. AI-based approaches to bridge the gap between microscopic simulations and realistic length and time scales
  6. AI-driven robotic systems for optimizing and discovering targeted materials

Further information can be found on the event’s website: LINK

Kindly confirm your attendance by registering before July 19 using the LINK

Join us this August in the beautiful city of Quy Nhon for this insightful event and gain hands-on experience with cutting-edge tools and methodologies!

 

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