Preface to Special Topic: New Physics and Materials for Neuromorphic Computation

Journal Article · 20 October 2018 · Journal of Applied Physics

DOI: https://doi.org/10.1063/1.5063776 · OSTI ID:1567209

Grollier, Julie ^[1]; Guha, Supratik ^[2]; Ohno, Hideo ^[3]; Schuller, Ivan K. ^[4]

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1. National Centre for Scientific Research (CNRS), Palaiseau (France)
2. Argonne National Lab. (ANL), Argonne, IL (United States); Chicago State Univ., IL (United States)
3. Tohoku Univ., (Japan). Lab. for Nanoelectronics and Spintronics, Research Inst. of Electrical Communication, Center for Spintronics Integrated Systems
4. Univ. of California, San Diego, CA (United States)

Artificial Intelligence is a topic that is pervasive in many modern developments and not just confined to science anymore. Many practical applications are based on performing classification tasks inspired by how the natural brain processes information. This current Special Topic on New Physics and Materials for Neuromorphic Computation looks toward solutions for such computational processes that go beyond the currently well-established semiconducting digital computation paradigm.

• Research Organization: Argonne National Lab. (ANL), Argonne, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
• OSTI ID: 1567209
• Journal Information: Journal of Applied Physics, Journal Name: Journal of Applied Physics Journal Issue: 15 Vol. 124; ISSN 0021-8979
• Publisher: American Institute of Physics (AIP)Copyright Statement
• Country of Publication: United States
• Language: English