المؤلفون: Su-Min Kim (11971468), Sungkyu Kim (4400947), Leo Ling (11971471), Stephanie E. Liu (11160928), Sila Jin (4131367), Young Mee Jung (1499365), Minjae Kim (6208052), Hyung-Ho Park (1509532), Vinod K. Sangwan (1298529), Mark C. Hersam (675285), Hong-Sub Lee (1509550)

مصطلحات موضوعية: Neuroscience, Biotechnology, Plant Biology, Space Science, resistive switching correlates, perform ann vector, exceptionally high accuracy, efficient neuromorphic circuits, artificial neural networks, ann simulation showed, 7 , 5 , 4 , 2 , 12 , based composite memristor, symmetric bidirectional migration, linear weight update, conventional cmos hardware, based composite memristors, hardware implementation, conventional memristors, uniquely enabled, three phases, term potentiation, specific characteristics, resistance states, reset operations, relative fraction, ohmic behavior

Relation: https://figshare.com/articles/journal_contribution/Linear_and_Symmetric_Li-Based_Composite_Memristors_for_Efficient_Supervised_Learning/18702652

الاتاحة: https://doi.org/10.1021/acsami.1c24562.s001