SYMPOSIUM 8: Nano4Neuro 3: Materials Advances for Analogue, Neuromorphic and Post-Moore Computing Paradigms

The rapid development of new ideas for neuromorphic, reservoir, thermal, optical computing raises new challenges and opportunities for materials, devices and integration technologies. We seek to connect diverse audiences from academia, industry and national laboratories with expertise in computing paradigms, materials theory and design, device measurements, advanced characterization, and AI/ML to outline the fundamental mechanisms of energy and information transduction in material systems, address open questions and challenges in computing materials and architectures, and advance emerging application areas where new computing will complement and expand existing technologies. Particular attention will be drawn to synergy among synthesis, theory, modeling and characterization that can bridge the multiplicity of energy, time and length-scales involved in computation, and enable accelerated adoption of new material systems for future information technologies.

Proposed Sessions/Topics

• Phase transitions in 2D materials and devices
• Heterogeneous and monolithic integration
• CMOS compatible ferroelectric materials and devices
• Fundamental materials needs for emerging computing paradigms
• Electrochemical and reservoir memory and computing devices
• Scalable modeling and computation for analogue and neuromorphic computing applications of machine learning in device modeling and characterization
• Materials research in national microelectronics centers
• Advanced characterization techniques

Symposium Organizer(s)

• Petro Maksymovych, Clemson University, USA p.maksym@clemson.edu
• Karsten Beckmann, NY-CREATES, USA
• Aiping Chen, Los Alamos National Laboratory, USA

Point(s) of Contact

• Petro Maksymovych; p.maksym@clemson.edu

Symposium Sponsor(s)

• Basic Science Division
• Electronics Division