Details

Autor(en) / Beteiligte

• Zhang, Hai-Tian
• Park, Tae Joon
• Islam, A N M Nafiul
• Tran, Dat S J
• Manna, Sukriti
• Wang, Qi
• Mondal, Sandip
• Yu, Haoming
• Banik, Suvo
• Cheng, Shaobo
• Zhou, Hua
• Gamage, Sampath
• Mahapatra, Sayantan
• Zhu, Yimei
• Abate, Yohannes
• Jiang, Nan
• Sankaranarayanan, Subramanian K R S
• Sengupta, Abhronil
• Teuscher, Christof
• Ramanathan, Shriram

Titel

Reconfigurable perovskite nickelate electronics for artificial intelligence

Ist Teil von

• Science (American Association for the Advancement of Science), 2022-02, Vol.375 (6580), p.533-539

Ort / Verlag

United States: The American Association for the Advancement of Science

Erscheinungsjahr

2022

Link zum Volltext

Quelle

Science Online_科学在线

Beschreibungen/Notizen

• Reconfigurable devices offer the ability to program electronic circuits on demand. In this work, we demonstrated on-demand creation of artificial neurons, synapses, and memory capacitors in post-fabricated perovskite NdNiO devices that can be simply reconfigured for a specific purpose by single-shot electric pulses. The sensitivity of electronic properties of perovskite nickelates to the local distribution of hydrogen ions enabled these results. With experimental data from our memory capacitors, simulation results of a reservoir computing framework showed excellent performance for tasks such as digit recognition and classification of electrocardiogram heartbeat activity. Using our reconfigurable artificial neurons and synapses, simulated dynamic networks outperformed static networks for incremental learning scenarios. The ability to fashion the building blocks of brain-inspired computers on demand opens up new directions in adaptive networks.