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EMOS: A Unified AI Platform for Electronic Materials Discovery

Event artwork for EMOS: A Unified AI Platform for Electronic Materials Discovery

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About this event

What to expect

Discover how AI is accelerating electronic materials discovery in this comprehensive webinar featuring Dr. Atish Dixit from the University of Edinburgh's APRIL AI Hub. As part of the REWIRE-IKC collaboration, this session explores EMOS — a unified platform designed to streamline AI-driven research in semiconductors, power electronics, and hardware accelerators.

What You'll Learn

Dr. Dixit, a Research Fellow in AI for Electronics, will guide attendees through EMOS's end-to-end workflows for electronic materials discovery. The session covers the complete pipeline from initial generation and screening through to device-level evaluation, demonstrating how this unified approach addresses critical challenges in the field.

Key topics include:

  • How EMOS enables seamless workflows for discovering and evaluating electronic materials
  • Real-world applications across semiconductors, power electronics, and hardware accelerators
  • Solving fragmentation in AI-driven materials research through standardisation and interoperability
  • Creating reproducible pipelines that enhance research quality and collaboration
  • Live demonstration of the EMOS prototype platform

This webinar is ideal for researchers, materials scientists, electronics engineers, and anyone interested in how artificial intelligence is transforming materials discovery. Whether you're working in academia or industry, you'll gain insights into cutting-edge approaches that combine AI with electronic materials research.

The interactive format includes a live Q&A session where you can ask Dr. Dixit questions about EMOS, its implementation, and potential applications in your work. While the webinar will be recorded for later viewing, the Q&A functionality is only available during the live session, so real-time attendance is recommended for maximum engagement.

The REWIRE-IKC collaboration brings together leading researchers to advance AI applications in electronics and materials science. This webinar is part of their ongoing series exploring how artificial intelligence can accelerate innovation in hardware development and materials engineering.

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