Abstract
Current trends in data processing have given impetus for an intense search of new concepts of memory devices with emphasis on efficiency, speed, and scalability. A promising new approach to memory storage is based on resistance switching between charge-ordered domain states in the layered dichalcogenide 1T-TaS2. Here we investigate the energy efficiency scaling of such charge configuration memory (CCM) devices as a function of device size and data write time τW as well as other parameters that have bearing on efficient device operation. We find that switching energy efficiency scales approximately linearly with both quantities over multiple decades, departing from linearity only when τW approaches the ∼0.5 ps intrinsic switching limit. Compared to current state of the art memory devices, CCM devices are found to be much faster and significantly more energy efficient, demonstrated here with two-terminal switching using 2.2 fJ, 16 ps electrical pulses.
Keywords: charge configuration memory, TaS2, ultrafast, energy-efficient, cryogenic, nonvolatile
Research in the area of novel memory devices has been intense in the recent decades, but there have been few breakthroughs that have led to implementation.1−3 As a result, technologies such as cryocomputing that promise large improvements in energy consumption have been seriously hindered by the absence of a suitable fast and energy-efficient memory for more than two decades.4,5 As an alternative to modern magnetic devices, manipulating charge, rather than spins, for data storage could be more efficient because it can be directly driven by electrical charge injection that promises to be extremely fast and efficient. Unfortunately, the direct coupling of an electronic two-level system to lattice degrees of freedom causes rapid state decoherence and dissipation, which fundamentally limits charge-storage based memory concepts. As an apparent solution to this problem, it was shown recently that topological protection that stabilizes different charge density wave (CDW) domain states in the quasi-2D layered transition metal chalcogenide 1T-TaS2 can be used for memory devices.6,7 The basic mechanism for such a charge configuration memory (CCM) was shown to be unique to this material,7−9 involving reversible charge reconfiguration from an insulating, spatially uniform CDW state to a metallic domain state10 with accompanying restacking of the CDW along the direction perpendicular to the layers.11 To develop the CCM concept into viable practical devices, a better understanding of the device characteristics is required, particularly the operational limitations, such as write speed, energy efficiency, and endurance, as well as size scaling limitations and contact material compatibility. For low temperature operation, minimization of dissipation is essential, so investigation of how the switching energy scales with device size is particularly important. The write (W) cycle of the CCM device was shown to be nonthermal, while the erase (E) cycle is at least partially thermal.7 Intrinsic nonohmic behavior and dissipation at the contacts,12 especially if energy barriers are formed as a result of interface chemistry, may limit the energy efficiency in small devices.13 In this paper we investigate CCM scaling properties in the nonvolatile resistance switching region, which is particularly relevant for incorporation into cryocomputing environments where the device has potential applications. We investigate the electrical contact structure with high resolution electron microscopy, searching for possible interfacial layers that may limit device performance. We conclude by comparing the measured characteristics of CCM with other current and emerging memory devices.
The devices were nanofabricated by evaporating metal contacts on 1T-TaS2 single crystal flakes as can be seen on a scanning electron microscope (SEM) image in Figure 1a (see Methods in Suppporting Information). Switching characteristics were measured on many devices with very different gap sizes L (Figure 1b) between the Au electrodes, using a large range of “write” pulse lengths τW, from 16 ps to 600 ms. For short pulse switching, low-attenuation transmission line circuits were used in combination with picosecond digital electronics (see Methods in Supporting Information). We first present an analysis of the contact structure in Au/1T-TaS2 devices on Si/SiO2 substrates. A bright-field scanning transmission electron microscope (BF-STEM) image of a cross-section of two electrodes (one memory bit) and a zoom-in on the interface between the metal electrodes and 1T-TaS2 can be seen in Figure 1b and Figure 1c, respectively. The layered structure of the 1T-TaS2 crystal is clearly visible in Figure 1c. Part of the cross-section showing the entire structure of the device can be seen in Figure 1d. An energy-dispersive X-ray spectroscopy (EDS) analysis of the device’s interfaces is presented in Figure 1e, along the line scan marked with the red line in Figure 1d. Considering the overlap in the EDS spectrum for certain characteristic lines of elements (Ta M and Si K, Au M and S K), the individual layers of the fabricated CCM device can be identified (Figure 1e). Importantly, multiple EDS analyses (at ∼1 nm resolution) on different devices do not show any evidence of an oxide layer at the interface between the 1T-TaS2 crystal and the metal electrode, consistent with a previous report13 and the voltage–current characteristics discussed below.
Figure 1.
CCM device, EDS, and work function analysis. (a) SEM image of a typical CCM device used for measurements with transmission line contacts. (b) BF-STEM image of a cross-section of a fabricated CCM device (one memory bit). (c) Zoom-in to the interface between the metal electrode and 1T-TaS2 crystal. (d) Zoom-in to a part of the cross-section with the EDS line scan marked. (e) EDS analysis of the zoomed-in section, where individual layers are identified: Au (yellow), Pd (green), Ta (dark blue), S (light blue), Si (red), O (black), Ti (pink). (f) Top panel shows an AFM image of a part of the CCM device with the line scan for the KPFM measurement marked. Bottom panel shows KPFM measurement of the work functions for 1T-TaS2, SiO2, and Au electrodes along the line scan. (g) Schematic band diagram of the device based on the KPFM measurements. On the left is a band diagram of an interface between the Au electrode and the nearly commensurate (NC) metallic state at room temperature, and on the right is an interface between the Au electrode and the commensurate (C) charge density wave state at cryogenic temperature.
To further ascertain the possible role of contacts in device functionality
we measured the relative difference in work functions of the 1T-TaS2 and
Au in a CCM
device using a Kelvin probe force microscopy (KPFM). The upper panel
in Figure 1f shows
an atomic force microscope (AFM) image of a part of the CCM device,
while the bottom panel in Figure 1f shows the KPFM potential difference
as a function of the scanning position
on the device. The scanning is performed across the 1T-TaS2 crystal, the Si/SiO2 substrate and the Au electrode,
as indicated with the dashed line in Figure 1f, top panel. While the absolute value of
was not calibrated, the relative
difference
of work functions is accurately determined,
![]() |
in agreement with
published values for = 5.5 ± 0.01 eV (single crystal)14 and
= 5.1–5.47 eV.15 Judging from
the KPFM measurement and the values from ref (15), it looks like our gold
layer has facets with predominantly (100) or (110) orientation. The
corresponding band diagrams for the room-temperature nearly commensurate
(NC) metallic state and the low-temperature commensurate charge density
wave (C-CDW) are shown in Figure 1g. Ideally electron injection from Au metal into the
1T-TaS2 CDW-gapped semiconductor with a gap
eV 16 takes place (Figure 1g), and the junction is expected to be ohmic. 1T-TaS2 reacts
to charge injection by forming a conducting interface layer parallel
to the interface. We thus do not expect a barrier to form at the interface
with Au contacts due to carrier diffusion, which is consistent with
the observed linear voltage–current curves6 and the scaling behavior with device size and τW described in the following section.
While basic memristive
switching of the CCM device at higher temperatures
was discussed elsewhere,6 a measurement
that demonstrates millikelvin operation and switching from the high
resistance (HI) state to low (LO)
resistance state
is illustrated
by the R–T curve in Figure 2a, for a device with
intercontact distance
nm. The entire measurement cycle is shown
starting from 280 K, cooling and switching at 350 mK by a single write
(W) pulse, and heating back to 280 K, where the system reverts to
its original state. Upon heating we observe characteristic steps,
previously attributed to relaxation of domains.7,17 The
insert to Figure 2a
shows the R–T curves on an
expanded scale, showing a commonly observed hysteresis associated
with the presence of additional phases18,19 above 100
K.
Figure 2.
Resistance switching and voltage–current characteristics of CCM devices. (a) Temperature dependence of the four-contact resistance R. Switching from RHI to RLO at 350 mK is caused by an electrical W pulse as indicated by the arrow. Heating above 90 K (red line) reverts the system to the RHI state. Inset to (a) shows the expanded scale of the R–T curve. (b, c) Pulsed measurements of the V–I curve for the W and E operations, respectively.
A typical voltage–current (V–I) curve for a W cycle at 20 K is shown
in Figure 2b for incrementally increasing current pulses through
the CCM device with an intercontact
distance
nm
(see insert to Figure 3b). In this measurement, the pulses were
very long (
), illustrating the versatility of the device
(fast measurements are shown later). The V–I measurement allows us to accurately determine the switching
threshold for both the write and erase processes. We observe a nonlinear V–I curve with an initial slope
(dashed
line) up to the
mA. Above this current the voltage drops
from 0.65 to 0.08 V and the device switches to a linear V–I relation with resistance
(dashed
line), remaining in this state
indefinitely
at this temperature. The V–I curve for W can be fit with
![]() |
for (green line)
and
for
(dashed
line) in agreement with ref (6). To switch back to the
pristine state, the erase (E) sequence is illustrated in Figure 2c where the current
is ramped from
to 0.4 mA. Initially we follow the RLO curve. Above a threshold
mA the device switches to a high resistance
state. As current is lowered to zero, the device remains in
at low currents. The behavior
is consistent
with the previous V–I measurements
with 10 μs pulses,6 implying that
it is not dependent on the pulse length over the range τW = 10–5–1 s.
Figure 3.
Speed and energy efficiency scaling at 20 K. (a) Switching energy density εW as a function of pulse length τW. The inset shows the actual pulse shapes. Red line shows linear scaling, and blue line shows departure from linearity at short τW. The data point at 1.9 ps was taken from ref (21). (b) Switching threshold voltage VW as a function of distance between the electrodes L. The inset shows a device with variable L used in the measurement. Different symbol colors are for different physical devices. (c) Endurance measurement showing cycling between RLO and RHI for 106 cycles. Each pair of points represents 2 × 104 W/E cycles.
Using 60 GHz Au transmission line contacts, fabricated on ∼50
nm thick 1T-TaS2 flakes on Si/SiO2 substrates
(see Figure 1a, Methods in Supporting Information), we systematically
study the W sequence of multiple CCM devices for different W pulse
lengths τW ranging from 16 ps to 20 μs generated
by electronic pulse generators in a single-pulse mode. For each pulse
length, the pulse voltage was incrementally increased until the switching
threshold was
reached and recorded. Since the
depends on sample geometry, in Figure 3a, we plot the switching
energy density instead:
(
is
the crystal volume between electrodes,
and
is defined as the switching energy). The
error bars include the systematic error of measurements and the estimated
variation between different devices. The red line shows a linear relation
, with
. At shorter pulse lengths
there
is a departure from linearity denoted
with the blue line, which most likely occurs due to an increase in
transmission line losses in the GHz range. For the fastest device
measured here (
16 ps fwhm), the distance
between contacts
is
and threshold W voltage
,
which gives a switching energy per bit
of
at 20 K. The resistance measured before
and after switching is
and
, respectively. The resistance ratio is
lower than the value observed with longer W pulses at low temperatures
such as that shown in Figure 2a, which may be attributed to incomplete switching. However,
both
and
resistance states have long-term
stability
at this temperature (20 K). To explore the switching capabilities
of the CCM device in the ultrafast limit, an electro-optical setup
that allows for ps pulse generation and detection was reported in
ref (21), from which
we include a data point
= 1.9 ps in Figure 3a.
The scaling of the switching threshold
voltage with
intercontact distance
is shown
in Figure 3b. (A device
with multiple L is shown in the inset.) Approximately
linear scaling of
is observed over nearly 2 orders of magnitude,
60 nm < L < 4 μm, that extrapolates to
the origin, with a slight departure from linearity at the smallest
. Considering the fact that the
EDS analyses
do not show any intermediate layer between Au and 1T-TaS2 and that the work function mismatch suggests ohmic contact behavior,
we cannot directly attribute the observed small deviation from linearity
to electrical contacts. One possible reason for the departure at small
sizes may be related to the fact that the device size approaches the
intrinsic 10–20 nm domain size measured in the low-resistance
state of single crystals.9,20 The efficiency of devices
with feature sizes comparable to the domain size may be expected to
decrease due to charge configuration pinning at the contacts.
In Figure 3c we
show a typical endurance measurement at 20 K for a device with nm.
Square pulses with
and amplitude
V are used for
W, and asymmetric triangular
E pulses with peak amplitude
V and
are used for erase (shown in the inset
to Figure 3c). Each
pair of corresponding
and
values shown by black and red
dots, respectively,
represents a measurement after 20 000 W/E cycles. We see that
is remarkably stable over
cycles, while
initially increases slightly and
later
stabilizes after
cycles when the measurement was
terminated.
An immediate application of the device could be
in cryocomputing,
which has been heralded as an obvious solution to the overall challenge
of reducing dissipation of computer systems.5,22 In
spite of huge research efforts and availability of superconducting
circuits performing both single flux quantum (SFQ) and quantum information
processing,22 the absence of a fast low-energy
cryogenic memory has prevented significant upscaling,4,5 so CCM devices may offer a possible breakthrough. Considering the
scaling limits of CCM devices, we find that while the measured value
of is small compared with other current memory
devices, the observed scaling laws suggest that
can be reduced further by reducing
and/or
. Optimization
of microwave electrical contacts
seems to be essential in reducing the
as well, since the losses in the transmission
of GHz pulses are likely to be the cause for the departure from linear
scaling in Figure 3a. Deviations from linearity might still be expected when
approaches
the intrinsic switching time
.23 These effects
are likely to be important for device optimization, particulary for
erase protocols.7 Fundamentally, the measured
is still significantly larger than the
measured microscopic barrier EB = 15–21 meV ((2.4–3.4) × 10–6 fJ) obtained from thermal activation measurements.17 This implies that in principle devices with much smaller
can be built before reaching fundamental
limits. It is also instructive to compare
and
with the lowest possible energy difference
between two states that can be discerned thermodynamically on the
basis of their entropy difference
(the
Brillouin–Landauer (BL) thermodynamic
limit24). At
K,
fJ, so the presented CCM devices in Figure 3 are still far from
this limit. For cryogenic memory applications, it is important that
the CCM device could be driven by single flux quantum (SFQ) pulses.
For a single SFQ pulse, the pulse energy may be estimated to
=
fJ, where we have assumed a typical critical
current
μA in the
SFQ driver circuit. For
a realistic CCM device with
nm2 device area and a crystal
thickness of 20 nm, the estimation from the linear fit in Figure 3a for switching with
2 ps21 pulses gives
fJ. Thus, on the basis of the presented
scaling laws, CCM devices constructed using current fabrication techniques
could be driven with single SFQ pulses, provided the coupling between
the SFQ driver and the CCM microwave circuit is optimized.
In Figure 4 we compare
operating parameters of the CCM with leading alternative technologies,
including magnetic random-access memory (MRAM), phase change memory
(PCM), and others. The smallest energy/bit values of 6 fJ/bit25 and 8 fJ/bit26 were
reported for voltage-controlled magnetic anisotropy switching (MRAM)
in Ta/CoFeB/MgO magnetic tunnel junctions (MTJ) and resistive switching
in Ni/GeOx/HfON/TaN resistive random access
memory (RRAM) devices, respectively (Figure 4b). The lowest theoretically predicted value
for MTJs of a few 27 is
comparable to the
, which was already experimentally achieved
in CCM. This value is still much higher than the theoretical limit
of
fJ
predicted for CCM. PCMs have both significantly
higher switching energies (>600 fJ 28) and switching voltages (>1 V 29,30) than CCM,
and even the smallest memristors such as 6 nm crossbar memristor arrays
have a write power of
,31 which is
higher than the predicted ∼0.1
for a much bigger CCM device (
nm3), estimated from
the linear
fit in Figure 3a. We
note that our demonstration of a man-made nonvolatile electronic memory device uses less energy per bit (2.2 fJ/bit) than
a human brain (∼10 fJ/synapse) and potentially much less than
artificial synapses.32 The CCM’s
advantage is that it is >9 orders of magnitude faster.
Figure 4.
Measured switching energy EW and speed of leading memory devices: (a) switching energy in correlation with device area; (b) switching times τW plotted against switching energy. References: PCM,28,29 RRAM,26,33−35 STT-RAM,36−38 MRAM,25,39 nMem,40,41 JJ-CMOS memory,42 OST-RAM,43 Mott memory,44 SRAM,45−47 and DRAM.47
Picosecond switching speeds of CCMs are similar to those reported by photomagnetic recording.48 However, the switching energy density per bit is significantly smaller for CCM: (0.3 J/cm3 for CCM21 vs 6 J/cm3 for photomagnetic recording), with the added advantage of two-contact electrical W/E and read (R) operations and the possibility of a very high packing density. For CCMs the current size limit is 10–20 nm, but for photomagnetic recording the size is limited by optical wavelengths used for W/E/R (hundreds of nm). Nanowire memory (nMem)40,41 based on superconductive loops and nanowire cryotrons, Josephson magnetic random access memory (JMRAM),49 superconducting quantum interference device (SQUID) memory,50 and hybrid Josephson complementary metal oxide semiconductor (JJ-CMOS) memory42,51,52 are all very promising solutions for a cryogenic memory. However, they are hard to scale down to the 10–20 nm regime and require additional driving periphery4,53 (nMem, JMRAM and SQUID memory) or require voltage amplification for proper operation4 (JJ-CMOS memory), which introduces additional dissipation into the circuits.
Thus, with presently demonstrated scalability (feature size, 60 nm to 4 μm; pulse length, 16 ps to 600 ms; voltage, 0.3–10 V) and with a wide operating temperature range (350 mK to 190 K), the CCM devices appear to be very versatile in comparison. The operating temperature range could be extended to higher T by appropriate choice of substrate.17 So far, no other electronically ordered material has been found to exhibit significant metastability and thus 1T-TaS2 currently is the only material for CCM application. The device variability is small, as seen from the data on multiple devices shown in the scaling plots. Importantly for applications, thin films of 1T-TaS2 can be grown by various means54−56 promising technological flexibility. For interfacing present CCM devices with single flux quantum devices, which is an obvious target application, nanocryotrons (nTrons) have been demonstrated to be a match in terms of output voltage, speed, and impedance.57,58 However, nTrons could introduce additional design complexity and dissipation due to higher bias currents,51 so direct driving by SFQ pulses might be preferable.
In comparison to complementary metal oxide semiconductor (CMOS) devices42,51,52,59 and nanowire memories,40,41 the CCM concept potentially offers advantages in terms of scaling, size, speed, energy efficiency, and operational simplicity. Compared with other fast memory, such as photomagnetic storage,48 CCMs are more energy efficient and offer much higher data packing densities. The disadvantage is low-temperature operation, but considering its primary virtues are speed and energy efficiency, the target applications are in the cryocomputing environment. The presently measured energy efficiency (2.2 fJ/bit) is a consequence of very short write pulses needed, allowed by the inherent switching mechanism. Thus, the values shown here are limited by device size and transmission characteristics of the high-speed microwave circuit, not the intrinsic mechanism.
We conclude that while 1T-TaS2 appears to be unique in exhibiting combined set of properties useful for CCM operation, multilayer structures may introduce additional functionality that may result in improved performance and extended temperature range of operation. The additional degrees of freedom arising from interlayer interactions and proximity coupling60 in 2D heterostructures may be expected to offer new possibilities for new CCM devices beyond the currently available materials.
Acknowledgments
This project has received funding from the EU-H2020 research and innovation program under Grant Agreement 654360, NFFA-Europe, having benefited from the access provided by Paul Scherrer Institute in Villigen, Switzerland within the framework of the NFFA-Europe Transnational Access Activity. We acknowledge the help of L. Cindro from F9 at JSI on contact bonding. We thank the support from the Slovenian Research Agency (Grant P1-0040; Grant PR-08972 to A.M., Grant PR-10496 to R.V., Grant PR-06158 to A.K., Grant PR-07589 to J.R., Grant I0-0005 to D.S., Grant J2-3041 to G.D.), Slovene Ministry of Education, Science and Sport (Grant C3330-19-952005, Raziskovalci-2.1-IJS-952005), ERC AdG (Grant GA320602, TRAJECTORY), and ERC PoC (Grant GA767176, Umem4QC). We thank the CENN Nanocenter for the use of AFM, FIB, and DaLI. This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No 701647, PSI-FELLOW-II-3i. F.T. has been supported by the Project SQUAD-Programma STAR PLUS 2020.
Supporting Information Available
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.nanolett.2c01116.
Description of materials and fabrication methods; description of DC and fast electrical measurement (PDF)
Author Contributions
A.M., R.V., I.A.M., V.S., and I.V. performed electrical measurements experiments. A.M., D.Sv., D.K., J.R., and Y.E. fabricated the devices. M.D., D.St., and F.T. performed the 350 mK switching experiments. B.A. prepared the lamella for STEM analysis. G.D. performed STEM analysis. A.M., D.Sv., and D.M. devised the experiments. D.M. and A.M. wrote the paper.
The authors declare no competing financial interest.
Supplementary Material
References
- Holmes D. S.; Kadin A. M.; Johnson M. W. Superconducting Computing in Large-Scale Hybrid Systems. Computer 2015, 48, 34–42. 10.1109/MC.2015.375. [DOI] [Google Scholar]
- Soloviev I. I.; et al. Beyond Moore’s technologies: operation principles of a superconductor alternative. Beilstein J. Nanotechnol. 2017, 8, 2689–2710. 10.3762/bjnano.8.269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Janod E.; et al. Resistive Switching in Mott Insulators and Correlated Systems. Adv. Funct. Mater. 2015, 25, 6287–6305. 10.1002/adfm.201500823. [DOI] [Google Scholar]
- Tafuri F., Ed. Fundamentals and Frontiers of the Josephson Effect; Springer Series in Materials Science, Vol. 286; Springer Nature, 2019; pp 632–648. [Google Scholar]
- Holmes D. S.; Ripple A. L.; Manheimer M. A. Energy-Efficient Superconducting Computing—Power Budgets and Requirements. IEEE Trans. Appl. Supercond. 2013, 23, 1701610–1701610. 10.1109/TASC.2013.2244634. [DOI] [Google Scholar]
- Vaskivskyi I.; et al. Fast electronic resistance switching involving hidden charge density wave states. Nat. Commun. 2016, 7, 11442. 10.1038/ncomms11442. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mihailovic D.; et al. Ultrafast non-thermal and thermal switching in charge configuration memory devices based on 1T-TaS2. Appl. Phys. Lett. 2021, 119, 013106. 10.1063/5.0052311. [DOI] [Google Scholar]
- Stojchevska L.; et al. Ultrafast Switching to a Stable Hidden Quantum State in an Electronic Crystal. Science 2014, 344, 177–180. 10.1126/science.1241591. [DOI] [PubMed] [Google Scholar]
- Gerasimenko Y. A.; Karpov P.; Vaskivskyi I.; Brazovskii S.; Mihailovic D. Intertwined chiral charge orders and topological stabilization of the light-induced state of a prototypical transition metal dichalcogenide. npj Quantum Mater. 2019, 4, 32. 10.1038/s41535-019-0172-1. [DOI] [Google Scholar]
- Ritschel T.; et al. Orbital textures and charge density waves in transition metal dichalcogenides. Nat. Phys. 2015, 11, 328–331. 10.1038/nphys3267. [DOI] [Google Scholar]
- Stahl Q.; et al. Collapse of layer dimerization in the photo-induced hidden state of 1T-TaS2. Nat. Commun. 2020, 11, 1247. 10.1038/s41467-020-15079-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zhu X.; Li A. J.; Stewart G. R.; Hebard A. F. Detection of charge density wave phase transitions at 1T-TaS2/GaAs interfaces. Appl. Phys. Lett. 2017, 110, 181603. 10.1063/1.4982964. [DOI] [Google Scholar]
- Tsen A. W.; et al. Structure and control of charge density waves in two-dimensional 1T-TaS2. Proc. Natl. Acad. Sci. U. S. A. 2015, 112, 15054–15059. 10.1073/pnas.1512092112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Perfetti L.; et al. Femtosecond dynamics of electronic states in the Mott insulator 1T-TaS2 by time resolved photoelectron spectroscopy. New J. Phys. 2008, 10, 053019. 10.1088/1367-2630/10/5/053019. [DOI] [Google Scholar]
- Michaelson H. B. The work function of the elements and its periodicity. J. Appl. Phys. 1977, 48, 4729–4733. 10.1063/1.323539. [DOI] [Google Scholar]
- Cho D.; Cho Y.-H.; Cheong S.-W.; Kim K.-S.; Yeom H. W. Interplay of electron-electron and electron-phonon interactions in the low-temperature phase of 1 T – TaS 2. Phys. Rev. B 2015, 92, 085132. 10.1103/PhysRevB.92.085132. [DOI] [Google Scholar]
- Vaskivskyi I.; et al. Controlling the metal-to-insulator relaxation of the metastable hidden quantum state in 1T-TaS 2. Sci. Adv. 2015, 1, e1500168 10.1126/sciadv.1500168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tanda S.; Sambongi T.; Tani T.; Tanaka S. X-Ray Study of Charge Density Wave Structure in 1T-TaS2. J. Phys. Soc. Jpn. 1984, 53, 476–479. 10.1143/JPSJ.53.476. [DOI] [Google Scholar]
- Wang Y. D.; et al. Band insulator to Mott insulator transition in 1T-TaS2. Nat. Commun. 2020, 11, 4215. 10.1038/s41467-020-18040-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Cho D.; et al. Nanoscale manipulation of the Mott insulating state coupled to charge order in 1T-TaS2. Nat. Commun. 2016, 7, 10453. 10.1038/ncomms10453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Venturini R. Ultra-Efficient Resistance Switching between Charge Ordered Phases in 1T-TaS2 with a Single Picosecond Electrical Pulse. arXiv 2022, 2202.13831. [Google Scholar]
- Anders S.; et al. European roadmap on superconductive electronics – status and perspectives. Phys. C Supercond. 2010, 470, 2079–2126. 10.1016/j.physc.2010.07.005. [DOI] [Google Scholar]
- Ravnik J.; Vaskivskyi I.; Mertelj T.; Mihailovic D. Real-time observation of the coherent transition to a metastable emergent state in 1T–TaS2. Phys. Rev. B 2018, 97, 075304. 10.1103/PhysRevB.97.075304. [DOI] [Google Scholar]
- Landauer R. Irreversibility and Heat Generation in the Computing Process. IBM journal 1961, 5, 183. 10.1147/rd.53.0183. [DOI] [Google Scholar]
- Grezes C.; et al. Ultra-low switching energy and scaling in electric-field-controlled nanoscale magnetic tunnel junctions with high resistance-area product. Appl. Phys. Lett. 2016, 108, 012403. 10.1063/1.4939446. [DOI] [Google Scholar]
- Cheng C. H.; Chin A.; Yeh F. S. Ultralow Switching Energy Ni/GeOx/HfON/TaN RRAM. IEEE Electron Device Lett. 2011, 32, 366–368. 10.1109/LED.2010.2095820. [DOI] [Google Scholar]
- Wang L.; et al. Voltage-Controlled Magnetic Tunnel Junctions for Processing-In-Memory Implementation. IEEE Electron Device Lett. 2018, 39, 440–443. 10.1109/LED.2018.2791510. [DOI] [Google Scholar]
- Liu B.; et al. Multi-level phase-change memory with ultralow power consumption and resistance drift. Sci. Bull. 2021, 66, 2217–2224. 10.1016/j.scib.2021.07.018. [DOI] [PubMed] [Google Scholar]
- Loke D.; et al. Breaking the Speed Limits of Phase-Change Memory. Science 2012, 336, 1566–1569. 10.1126/science.1221561. [DOI] [PubMed] [Google Scholar]
- Ding K.; et al. Phase-change heterostructure enables ultralow noise and drift for memory operation. Science 2019, 366, 210–215. 10.1126/science.aay0291. [DOI] [PubMed] [Google Scholar]
- Pi S.; et al. Memristor crossbar arrays with 6-nm half-pitch and 2-nm critical dimension. Nat. Nanotechnol. 2019, 14, 35–39. 10.1038/s41565-018-0302-0. [DOI] [PubMed] [Google Scholar]
- Xu W.; Min S.-Y.; Hwang H.; Lee T.-W. Organic core-sheath nanowire artificial synapses with femtojoule energy consumption. Sci. Adv. 2016, 2, e1501326 10.1126/sciadv.1501326. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Havel V.; et al. Ultrafast switching in Ta2O5-based resistive memories. In 2016 IEEE Silicon Nanoelectronics Workshop (SNW) 82–83; IEEE, 2016; 10.1109/SNW.2016.7577995. [DOI] [Google Scholar]
- Torrezan A. C.; Strachan J. P.; Medeiros-Ribeiro G.; Williams R. S. Sub-nanosecond switching of a tantalum oxide memristor. Nanotechnology 2011, 22, 485203. 10.1088/0957-4484/22/48/485203. [DOI] [PubMed] [Google Scholar]
- Lee S.; Sohn J.; Jiang Z.; Chen H.-Y.; Philip Wong H.-S. Metal oxide-resistive memory using graphene-edge electrodes. Nat. Commun. 2015, 6, 8407. 10.1038/ncomms9407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ando K.; et al. Spin-transfer torque magnetoresistive random-access memory technologies for normally off computing (invited). J. Appl. Phys. 2014, 115, 172607. 10.1063/1.4869828. [DOI] [Google Scholar]
- Jan G.; et al. Demonstration of Ultra-Low Voltage and Ultra Low Power STT-MRAM designed for compatibility with 0x node embedded LLC applications. In 2018 IEEE Symposium on VLSI Technology 65–66; IEEE, 2018. [Google Scholar]
- Rehm L.; et al. Sub-nanosecond switching in a cryogenic spin-torque spin-valve memory element with a dilute permalloy free layer. Appl. Phys. Lett. 2019, 114, 212402. 10.1063/1.5094924. [DOI] [Google Scholar]
- Khalili Amiri P.; et al. Electric-Field-Controlled Magnetoelectric RAM: Progress, Challenges, and Scaling. IEEE Trans. Magn. 2015, 51, 1–7. 10.1109/TMAG.2015.2443124.26203196 [DOI] [Google Scholar]
- Zhao Q.-Y.; et al. A compact superconducting nanowire memory element operated by nanowire cryotrons. Supercond. Sci. Technol. 2018, 31, 035009. 10.1088/1361-6668/aaa820. [DOI] [Google Scholar]
- McCaughan A. N.; Toomey E.; Schneider M.; Berggren K. K.; Nam S. W. A kinetic-inductance-based superconducting memory element with shunting and sub-nanosecond write times. Supercond. Sci. Technol. 2019, 32, 015005. 10.1088/1361-6668/aae50d. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Konno G.; Yamanashi Y.; Yoshikawa N. Fully Functional Operation of Low-Power 64-kb Josephson-CMOS Hybrid Memories. IEEE Trans. Appl. Supercond. 2017, 27, 1–7. 10.1109/TASC.2016.2646911. [DOI] [Google Scholar]
- Krivorotov I. N.; et al. Ultrafast spin torque memory based on magnetic tunnel junctions with combined in-plane and perpendicular polarizers. In 70th Device Research Conference 211–212; IEEE, 2012. [Google Scholar]
- Pickett M. D.; Stanley Williams R. Sub-100 fJ and sub-nanosecond thermally driven threshold switching in niobium oxide crosspoint nanodevices. Nanotechnology 2012, 23, 215202. 10.1088/0957-4484/23/21/215202. [DOI] [PubMed] [Google Scholar]
- Clerc S.; et al. A 0.32V, 55fJ per bit access energy, CMOS 65nm bit-interleaved SRAM with radiation Soft Error tolerance. In 2012 IEEE International Conference on IC Design & Technology 1–4; IEEE, 2012; 10.1109/ICICDT.2012.6232860. [DOI] [Google Scholar]
- Wang K. L.; Alzate J. G.; Khalili Amiri P. Low-power non-volatile spintronic memory: STT-RAM and beyond. J. Phys. Appl. Phys. 2013, 46, 074003. 10.1088/0022-3727/46/7/074003. [DOI] [Google Scholar]
- Dieny B.; et al. Opportunities and challenges for spintronics in the microelectronics industry. Nat. Electron. 2020, 3, 446–459. 10.1038/s41928-020-0461-5. [DOI] [Google Scholar]
- Stupakiewicz A.; Szerenos K.; Afanasiev D.; Kirilyuk A.; Kimel A. V. Ultrafast nonthermal photo-magnetic recording in a transparent medium. Nature 2017, 542, 71–74. 10.1038/nature20807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dayton I. M.; et al. Experimental Demonstration of a Josephson Magnetic Memory Cell With a Programmable π-Junction. IEEE Magn. Lett. 2018, 9, 1–5. 10.1109/LMAG.2018.2801820. [DOI] [Google Scholar]
- Takeshita Y.; et al. High-Speed Memory Driven by SFQ Pulses Based on 0-π SQUID. IEEE Trans. Appl. Supercond. 2021, 31, 1–6. 10.1109/TASC.2021.3060351. [DOI] [Google Scholar]
- Tanaka M.; et al. Josephson-CMOS Hybrid Memory With Nanocryotrons. IEEE Trans. Appl. Supercond. 2017, 27, 1–4. 10.1109/TASC.2016.2646929. [DOI] [Google Scholar]
- Van Duzer T.; et al. 64-kb Hybrid Josephson-CMOS 4 K RAM With 400 ps Access Time and 12 mW Read Power. IEEE Trans. Appl. Supercond. 2013, 23, 1700504–1700504. 10.1109/TASC.2012.2230294. [DOI] [Google Scholar]
- Tolpygo S. K. Superconductor digital electronics: Scalability and energy efficiency issues (Review Article). Low Temp. Phys. 2016, 42, 361–379. 10.1063/1.4948618. [DOI] [Google Scholar]
- Enomoto H.; Kawano T.; Kawaguchi M.; Takano Y.; Sekizawa K. Van der Waals Growth of Thin TaS 2 on Layered Substrates by Chemical Vapor Transport Technique. Jpn. J. Appl. Phys. 2004, 43, L123–L126. 10.1143/JJAP.43.L123. [DOI] [Google Scholar]
- Sanders C. E.; et al. Crystalline and electronic structure of single-layer TaS 2. Phys. Rev. B 2016, 94, 081404. 10.1103/PhysRevB.94.081404. [DOI] [Google Scholar]
- Wang X.; et al. Chemical Growth of 1 T -TaS 2 Monolayer and Thin Films: Robust Charge Density Wave Transitions and High Bolometric Responsivity. Adv. Mater. 2018, 30, 1800074. 10.1002/adma.201800074. [DOI] [PubMed] [Google Scholar]
- Zhao Q.-Y.; McCaughan A. N.; Dane A. E.; Berggren K. K.; Ortlepp T. A nanocryotron comparator can connect single-flux-quantum circuits to conventional electronics. Supercond. Sci. Technol. 2017, 30, 044002. 10.1088/1361-6668/aa5f33. [DOI] [Google Scholar]
- Mraz A.; Kabanov V. V.; Mihailovic D. Nanocryotron-driven Charge Configuration Memory. arXiv 2022, 2203.14586. [Google Scholar]
- Mukhanov O. A.; Kirichenko A. F.; Filippov T. V.; Sarwana S. Hybrid Semiconductor-Superconductor Fast-Readout Memory for Digital RF Receivers. IEEE Trans. Appl. Supercond. 2011, 21, 797–800. 10.1109/TASC.2010.2089409. [DOI] [Google Scholar]
- Joshi J.; et al. Charge density wave activated excitons in TiSe2–MoSe2 heterostructures. APL Mater. 2022, 10, 011103. 10.1063/5.0067098. [DOI] [Google Scholar]
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