Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan 44919, Republic of Korea.
Department of Electronics Engineering, National Changhua University of Education, Changhua 50007, Taiwan.
ACS Nano. 2023 Apr 25;17(8):7384-7393. doi: 10.1021/acsnano.2c11538. Epub 2023 Apr 13.
Two-dimensional materials and their heterostructures have thus far been identified as leading candidates for nanoelectronics owing to the near-atom thickness, superior electrostatic control, and adjustable device architecture. These characteristics are indeed advantageous for neuro-inspired computing hardware where precise programming is strongly required. However, its successful demonstration fully utilizing all of the given benefits remains to be further developed. Herein, we present van der Waals (vdW) integrated synaptic transistors with multistacked floating gates, which are reconfigured upon surface oxidation. When compared with a conventional device structure with a single floating gate, our double-floating-gate (DFG) device exhibits better nonvolatile memory performance, including a large memory window (>100 V), high on-off current ratio (∼10), relatively long retention time (>5000 s), and satisfactory cyclic endurance (>500 cycles), all of which can be attributed to its increased charge-storage capacity and spatial redistribution. This facilitates highly effective modulation of trapped charge density with a large dynamic range. Consequently, the DFG transistor exhibits an improved weight update profile in long-term potentiation/depression synaptic behavior for nearly ideal classification accuracies of up to 96.12% (MNIST) and 81.68% (Fashion-MNIST). Our work adds a powerful option to vdW-bonded device structures for highly efficient neuromorphic computing.
二维材料及其异质结构由于其接近原子厚度、优越的静电控制和可调的器件结构,被认为是纳米电子学的首选材料。这些特性对于神经启发计算硬件确实具有优势,因为神经启发计算硬件需要精确的编程。然而,要充分利用所有这些优势,还需要进一步发展。在此,我们提出了具有多层浮栅的范德华(vdW)集成突触晶体管,其可以在表面氧化时重新配置。与具有单个浮栅的传统器件结构相比,我们的双浮栅(DFG)器件具有更好的非易失性存储器性能,包括大的存储窗口(>100 V)、高的导通-截止电流比(~10)、较长的保持时间(>5000 s)和令人满意的循环耐久性(>500 次循环),这都归因于其增加的电荷存储容量和空间再分布。这有助于有效地调制具有大动态范围的俘获电荷密度。因此,DFG 晶体管在长期势(LTP)/压抑(LTD)突触行为中表现出更好的权重更新特性,其分类准确率接近理想,最高可达 96.12%(MNIST)和 81.68%(Fashion-MNIST)。我们的工作为高效神经形态计算的 vdW 键合器件结构增加了一个强大的选择。