1. Introduction
Modern processors, with over 100 billion transistors, are among the most complex systems. To meet the ever-changing demand for small and high-performance devices, processor transistor density and performance must be increased. Therefore, Moore's law must be preserved, i.e., transistor must be kept shrinking in size. Fin Field Effect Transistor (FinFET) technology is a game changer in enabling 22 to 3 nm technology nodes [
1,
2]. However, at sub-3 nm technology nodes in the near future, FinFET technology will face critical challenges of limited area scaling and performance degradation. The Fin width can no longer be scaled down due to increased threshold voltage (V
th) shift and lowered transistor’s effective mobility (μ
eff) [
3]. Gate length is also difficult to reduce due to transistor’s quantum-mechanical (QM) tunneling from source to drain [
4], resulting in high leakage current even when the transistor is off. Nanosheet (NS) transistors are the best solution to overcome these challenges of FinFET scaling, enabling higher drive currents [
5,
6]. NS-FETs are suitable for high computing needs due to their compatibility with various materials such as InGaAs, two-dimensional (2D) MoS
2 and WS
2, among others.
The downscaling of Si NS complementary FET is planned to 1 nm node, but further shrinking device is limited by the 2D material and hyper numerical-aperture (NA) extreme-ultraviolet (EUV) lithography. Unfortunately, there is no known solution to form defect-free and uniform monolayer 2D material over the 12-inch wafer. The rapidly increasing cost and huge power consumption are the major bottlenecks to realize hyper-EUV lithography system. Those downscaling barriers may be overcome by the monolithic three-dimensional (3D) structure [
4,
7,
8] that mimic the bio-brain. In addition, monolithic 3D integrated circuits (ICs) can provide better performance of higher operating frequencies and lower power consumption than their 2D counterparts [
7]. Yet the poor µ
eff for transistor made on backend dielectric of an IC is the basic challenge. Peviously, we reported high field-effect mobility (µ
FE) of SnO
2 [
4,
9,
10] and SnON FET [
11], but the effective mobility (µ
eff) is the required important data for transistors. The µ
eff can give crucial information on electron scattering mechanisms over the wide range of inversion charge (Q
e). The Q
e or gate voltage (V
G) dependent µ
eff is also essential for device modeling used for IC design. In this report, we measure the transistor output current over a wide range of V
G, equivalent to a Q
e close to 1×10
13 cm
-2, to analyze the device scaling mechanism. Such high Q
e is critical to deliver a high transistor’s output current and drive the IC speed quickly. The µ
eff degrades monotonically with increasing charge density is the physical limitation of a Metal-Oxide-Semiconductor FET (MOSFET). However, the MOSFET must be biased at high charge density to deliver a high output current. For the first time, this fundamental restriction is overcome by using a higher dielectric constant (κ) and high µ
eff channel. The nanocrystalline SnON n-type FET (nFET) has µ
eff as high as 325 cm
2/V-s at 5×10
12 cm
-2 electron density (Q
e) and 5 nm nanosheet body thickness (T
body). At the same T
body, this µ
eff is significantly higher than single-crystalline Si, InGaAs, 2D MoS
2, 2D WS
2 and 2D WSe
2. The high µ
eff is also due to small 0.29 m
o effective mass (m
e*), overlapped large radius s-orbital, signifincatly lower effective field (E
eff) by >10× higher κ value than Si, GaAs, InP, GaN and SiC. The N
3- anions having higher p orbital energy can move up valance band (E
V) from first principle QM calculation and the Oxygen vacancy levels (V
o) residing in the channel layer are reduced to improve the µ
eff. The 3D 400
oC process of SnON does not require a single crystal substrate; thus, the energy consumption is many orders of magnitude lower than today's single crystal Si wafer. The record-high µ
eff and quasi-2D thickness SnON nFET suggest potential monolithic three-dimensional (3D) and embedded dynamic random access memory (DRAM), to mimic the 3D bio-brain structure.
3. Results
Using first principle calculations based on density functional theory, the density of state (DOS) for SnO
2 and SnON were examined as shown in
Figure 1 (a) and (b), respectively. For convenience of analysis, the valence band maximum (VBM) was adjusted to zero. The lower conduction states close to the conduction band minimum (CBM) in SnO
2 and SnON were primarily produced from Sn 5s orbitals [
15], while the localized states immediately above the VBM in SnON had a predominance of N 2p character. The N states in the valence band, principally N 2p character, are the main cause of the bandgap reduction in SnON. SnO
2 and N
2 doped SnO
2 have effective electron masses (m
e*) of 0.41 m
o and 0.29 m
o, respectively, where m
o is the free electron mass which is reported in our previous work [
11]. The m
e* for SnON is evidently smaller than SnO
2, which could result in a larger µ
eff.
Figure 2 (a)-(c) depicts the transistor’s drain-current versus drain-voltage (I
D-V
D) characteristics at various V
G for SnO
2 and SnON nFETs with T
body of 5 nm and 7 nm. A clear pinch-off and good current saturation were measured. The SnON nFETs displayed higher I
D compared to control SnO
2 device. Because the metal-gate/high-κ was made at the same run with identical gate oxide capacitance, the only reason to cause significantly higher I
D at the same V
G-V
T of SnON nFET is due to the higher µ
eff.
Figure 3 (a) and (b) display gate-current versus gate-voltage (I
G-V
G) and I
D-V
G transfer characteristics at a V
D=0.1 V for SnON nFETs with T
body of 5 and 7 nm. Large on-current/off-current (I
ON/I
OFF) is achieved in 5 nm T
body thickness that is important for IC application. The FET’s scattering mechanism is further analyzed by the µ
eff as a function of Q
e. As shown in
Figure 3 (c), at low to medium Q
e, the nFET’s µ
eff of SnO
2 is significantly lower than SnON one. The SnO
2 nFET shows much faster µ
eff degradation with increasing Q
e. Although the oxide charges in high-κ dielectric is responsible for lower µ
eff than conventional SiO
2 gate dielectric [
16,
17,
18,
19], such µ
eff reduction is most significant at high Q
e rather than at low Q
e. It is reported that the µ
eff at low E
eff or Q
e is due to coulomb scattering from charged impurities [
20]. The potential reason for such larger µ
eff of SnON nFET than that of SnO
2 may be related to the lower charged V
o. By injecting non-oxide nitrogen anions, SnON can lower the defect trap densities. This allows for the removal or passivation of Vo through substitutional alloying with N
3- to improve the μ
eff as seen in
Figure 4. Similar observations were also found with ZnON [
21]. It is well-known that the transition SiO
x between Si and SiO
2 gives a positive fixed oxide charge, primarily due to structural V
o defects in the oxide layer. Such positive V
o charge close to valence band in SnON may be lowered by extra N-band as shown in DOS of
Figure 1(b).
Figure 5 (a) further plots 1/µ
eff vs. Q
e, and the large slope in the low Q
e is related to charged V
o scattering in SnO
2 that is lowered by adding N
3- anions. We further compare the µ
eff-Q
e dependence for universal SiO
2/bulk-Si, SiO
2/Si-on-Insulator (SOI), high-κ/SnO
2, and high-κ/SnON nFETs. As shown in
Figure 5 (b), the µ
eff as high as 357 and 325 cm
2/V-s are achieved at Q
e of 5×10
12 cm
-2 and T
body of 7 and 5 nm, respectively. At 1×10
13 cm
-2 Q
e, an ultra-thin 5 and 7 nm thickness, the µeff of high-κ/SnON nFET is 85% and 95% of universal SiO
2/bulk-Si nFET. The µ
eff scattering mechanism of SiO
2/bulk-Si nFET at low, medium, and high E
eff is due to coulomb, phonon, and surface scattering, respectively. The universal µeff of SiO
2/bulk-Si nFET depends on standard Q
e-0.3 in medium Q
e, which becomes Q
e-0.6 dependence at high Q
e to 1×10
13 cm
-2. However, the µ
eff decay rate of high-κ/SnO
2 and high-κ/SnON nFETs at high Q
e is much slower than universal SiO
2/bulk-Si and thin-body SOI nFETs [
22]. To understand such abnormal slow μ
eff dependence on Q
e, we further measured the dielectric constant, κ of 5 nm SnO
2.
Figure 6 shows the measured capacitance under various voltage at 1 kHz. The SnO
2 has a κ of 123 that is >10× larger than major semiconductors of Si, GaAs, InP, GaN, SiC etc [
23,
24,
25,
26,
27]. This high κ value is also close to the reported data in literature [
28]. The novel discovery μ
eff dependence on Q
e-0.30 at high Q
e range is due to the >10× higher κ value to keep high-κ/SnON nFET at medium E
eff range. Here the E
eff is proportional to Q
e:
The ε
semi equals ε
0κ, where ε
semi and ε
0 are permittivity of semiconductor and free space respectively. N
dep is the depletion charge of charged impurities in doped Si or charged V
o in major oxide semiconductors. The
n factor in SiO
2/bulk-Si equals to 2 and 3 for nMOSFET and pMOSFET, respectively. The significantly much higher κ value than most of the commercial semiconductors of Si, GaAs, InP, GaN and SiC allow the channel electrons to keep a low E
eff. This in turn keeps the electron wave-functions in the conduction channel [
29] away from the gate-oxide/semiconductor interface and decreases the gate-oxide surface scattering.
It is important to notice that the μ
eff of SnON nFET are the highest values among all the oxide-based semiconductors. This is due to the smaller m
e* and larger phonon energy (
Eop) [
30] to give high μ
eff:
The
Eop is higher than ZnO, GaN, and SiC [
31,
32,
33,
34].
The total μ
eff can be expressed as:
Here the µ
Vo is the FET’s mobility that is limited by charged V
o. This µ
Vo is extremely important at low to medium Q
e shown in
Figure 3 (c). The radius of s-orbital increases with increasing principle quantum number
n with
n2 dependence, so the overlapping s-orbitals are stronger for SnO
2 than ZnO [
15]. This explains why the mobility of SnON nFET is significantly larger than that of ZnO.
Table 1 compares device performance. The wide energy bandgap (E
G) nanocrystalline SnON nFET has the highest µ
eff among single crystal Si, InGaAs, 2D MoS
2, and 2D WS
2. It is noticed that the next 2 nm node commercial NS nFET will use single crystalline Si with a T
body of 7 nm, since the µ
eff decreases with decreasing T
body with a T
body6 dependence [
3]. The µ
eff of high-κ/SnON nFETs is 2.7 times higher than that of Si nFET at the same 5 nm T
body, which could be used for downscaling the NS T
body. The wide-E
G SnON also leads to large I
ON/I
OFF as shown in
Figure 3 (a).