and intelligent applications including personalized feedback therapy, fast speech, and visual recognition. [1][2][3][4][5] In particular in the non-conventional space of smart applications requiring conformal attachment on non-flat surfaces such as on-body wearables, the notion of system on plastics (SOP) incorporating neuromorphic computing provides a potential solution. [1,2] To build such a flexible neuromorphic system, the fabrication of memristors equipped with synaptic functions is a key step to forming the artificial neural network. [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] However, current memristor manufacturing technologies such as chemical vapor deposition (CVD), [7,8,[11][12][13] spin-coating, [14,15] or entire transfer [16] impose enormous challenges on flexible substrates as they suffer from high temperature, low yield and complex sacrificial layer removal. Efforts in finding low temperature fabrication technique and robust resistive switching (RS) material are essential to equip the SOP with the data storage and processing capability demanded by target applications. The printing technique-a forefront 3D monolithic integration approach-is suitable for high-volume, low-temperature manufacturing on non-conformal surfaces. [22][23][24][25][26][27][28] The printing technique is shown to offer more freedom in the design of Realization of memristors capable of storing and processing data on flexible substrates is a key enabling technology toward "system-on-plastics". Recent advancements in printing techniques show enormous potential to overcome the major challenges of the current manufacturing processes that require high temperature and planar topography, which may radically change the system integration approach on flexible substrates. However, fully printed memristors are yet to be successfully demonstrated due to the lack of a robust printable switching medium and a reliable printing process. An aerosol-jet-printed Ag/MoS 2 /Ag memristor is realized in a cross-bar structure by developing a scalable and low temperature printing technique utilizing a functional molybdenum disulfide (MoS 2 ) ink platform. The fully printed devices exhibit an ultra-low switching voltage (0.18 V), a high switching ratio (10 7 ), a wide range of tuneable resistance states (10-10 10 Ω) for multi-bit data storage, and a low standby power consumption of 1 fW and a switching energy of 4.5 fJ per transition set. Moreover, the MoS 2 memristor exhibits both volatile and non-volatile resistive switching behavior by controlling the current compliance levels, which efficiently mimic the short-term and longterm plasticity of biological synapses, demonstrating its potential to enable energy-efficient artificial neuromorphic computing.