2021
DOI: 10.1021/acsnano.1c06801
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Nanometer-Scale Ge-Based Adaptable Transistors Providing Programmable Negative Differential Resistance Enabling Multivalued Logic

Abstract: The functional diversification and adaptability of the elementary switching units of computational circuits are disruptive approaches for advancing electronics beyond the static capabilities of conventional complementary metal-oxide-semiconductor-based architectures. Thereto, in this work the onedimensional nature of monocrystalline and monolithic Al−Gebased nanowire heterostructures is exploited to deliver charge carrier polarity control and furthermore to enable distinct programmable negative differential re… Show more

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Cited by 29 publications
(27 citation statements)
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“…As the band-structure of Si 1−x Ge x with such high Ge contents (≥70%) is rather closer to the one of Ge than Si, [80] and still features electron conduction, the investigated Si 0.25 Ge 0.75 layer might be interesting for negative differential resistance (NDR) devices based on the electron transfer effect. [21,81,82] In contrast, the hole-gas system based on the pure Ge nanosheet confined by Si, due to the gate-tunable transparency, could be a key component for quantum computing such as gate-tunable Josephson junctions, which are an important prerequisite for gatemon or transmon qubits. [28,29] Further, the temperature sensitivity of the obtained Al-Si 1−x Ge x -Al nanosheets operated in the offregime might be very interesting for the realization of bolometers.…”
Section: Resultsmentioning
confidence: 99%
“…As the band-structure of Si 1−x Ge x with such high Ge contents (≥70%) is rather closer to the one of Ge than Si, [80] and still features electron conduction, the investigated Si 0.25 Ge 0.75 layer might be interesting for negative differential resistance (NDR) devices based on the electron transfer effect. [21,81,82] In contrast, the hole-gas system based on the pure Ge nanosheet confined by Si, due to the gate-tunable transparency, could be a key component for quantum computing such as gate-tunable Josephson junctions, which are an important prerequisite for gatemon or transmon qubits. [28,29] Further, the temperature sensitivity of the obtained Al-Si 1−x Ge x -Al nanosheets operated in the offregime might be very interesting for the realization of bolometers.…”
Section: Resultsmentioning
confidence: 99%
“…This is in contrast to other monolithic metal−semiconductor heterojunctions such as the Al−Ge system, which reveals a highly transparent contact for holes and a pronounced barrier for electrons. 6,44 Figure 2c shows the effect of temperature on the transfer characteristic for V D = 1 V between T = 300 and 400 K. As can be seen, a gate voltage shift and an increase of the off-current with temperature are evident, which can be attributed to the injection of thermally generated carriers over the Schottky barrier. However, no substantial increase of the on-current was observed, which is in agreement with a tunneling-dominated charge injection.…”
Section: Table 1 Calculated Diffusion Coefficients Of the Al−simentioning
confidence: 94%
“…In parallel to this development, rising computing paradigms such as the “Internet of Things” and “artificial intelligence” are demanding the design of systems with even higher computational resources. In this regard, the functional diversification of transistors constitutes alternative approaches to enable novel system concepts enhancing state-of-the-art solutions. , To overcome the scaling limitation and therefore enhance novel device concepts, it is mandatory to implement new processes and device architectures to enable “more-than-Moore” paradigms extending the mature Si complementary metal–oxide semiconductor (CMOS) platform. A major prerequisite for a large number of emerging nanoelectronic, optoelectronic, and quantum devices are reliable and reproducible metal–semiconductor junctions.…”
Section: Introductionmentioning
confidence: 99%
“…However, we consider that the analogy between a transistor and a neuron is in its infancy, since the neuron has thousands of synapses connected to it and thus the advancement of solid-state intelligent matter [27] is at the beginning. Moreover, very recently, transistors such as those in this paper, able to perform different logical tasks as programmed, were referred to as adaptable or intelligent transistors [28]. Thus, our work could be an important step towards the development of artificial intelligence, which requires the fast adaptability of electron devices to various tasks.…”
Section: Discussionmentioning
confidence: 94%