• Home
  • Cryptocurrency
    • Bitcoin
    • Ethereum
    • XRP
    • Litecoin
    • Altcoin
    • Cardano
    • Tether
    • DOGE
    • Solano
    • XLM
    • DOT
    • XDC
    • SHIBA
    • BNB
    • Ape
    • HBAR
    • QNT
  • Blockchain
  • Regulation
  • Market
  • Live
    • Prices
    • ICO
  • Meta
    • NFT
  • Technical Analysis
    • XRP
    • BTC
    • XLM
    • ADA
    • TETHER
    • ETC
    • ETH
    • DOGE
    • LTC
  • Exchange
  • Mining
Saturday, September 13, 2025
  • Login
  • Register
Coin24h.com
  • Home
  • Cryptocurrency
    • Bitcoin
    • Ethereum
    • XRP
    • Litecoin
    • Altcoin
    • Cardano
    • Tether
    • DOGE
    • Solano
    • XLM
    • DOT
    • XDC
    • SHIBA
    • BNB
    • Ape
    • HBAR
    • QNT
  • Blockchain
  • Regulation
  • Market
  • Live
    • Prices
    • ICO
  • Meta
    • NFT
  • Technical Analysis
    • XRP
    • BTC
    • XLM
    • ADA
    • TETHER
    • ETC
    • ETH
    • DOGE
    • LTC
  • Exchange
  • Mining
No Result
View All Result
  • Home
  • Cryptocurrency
    • Bitcoin
    • Ethereum
    • XRP
    • Litecoin
    • Altcoin
    • Cardano
    • Tether
    • DOGE
    • Solano
    • XLM
    • DOT
    • XDC
    • SHIBA
    • BNB
    • Ape
    • HBAR
    • QNT
  • Blockchain
  • Regulation
  • Market
  • Live
    • Prices
    • ICO
  • Meta
    • NFT
  • Technical Analysis
    • XRP
    • BTC
    • XLM
    • ADA
    • TETHER
    • ETC
    • ETH
    • DOGE
    • LTC
  • Exchange
  • Mining
No Result
View All Result
Coin24h.com
No Result
View All Result
Ledger Nano X - The secure hardware wallet
ADVERTISEMENT

Resonant plasmonic detection of terahertz radiation in field-effect transistors with the graphene channel and the black-As $$_x$$ P $$_{1-x}$$ gate layer

14 June 2023
in HBAR
Reading Time: 10 mins read
A A
0
Resonant plasmonic detection of terahertz radiation in field-effect transistors with the graphene channel and the black-As $$_x$$ P $$_{1-x}$$ gate layer
189
SHARES
1.5k
VIEWS
Share on FacebookShare on Twitter
cryptotrader
ADVERTISEMENT

Related articles

BlockDAG’s CEO and Team Announced: Expected to Surpass Hedera and Polygon with a  Projection

BlockDAG’s CEO and Team Announced: Expected to Surpass Hedera and Polygon with a $1 Projection

30 July 2024
VeChain (VET) And Hedera (HBAR) Triple Red Charts. Rollblock (RBLK) Seems The Summer Sure Money Bet – Times Tabloid

VeChain (VET) And Hedera (HBAR) Triple Red Charts. Rollblock (RBLK) Seems The Summer Sure Money Bet – Times Tabloid

28 July 2024

Thermionic DC and AC

At not-too-small electron densities in GCs, the characteristic time of the electron-electron collisions \(\tau _{ee}\) is shorter than the pertinent times associated with the optical phonons \(\tau _0\), acoustic phonons \(\tau _{ac}\), and impurities \(\tau _i\), respectively. This implies that the electron distribution function is close to the Fermi distribution function \(f(\varepsilon ) = [\exp (\varepsilon – \mu )/T +1]^{-1}\), characterized by the effective electron temperature T generally different from the lattice (thermostat) temperature \(T_0\) (in the energy units) and the electron Fermi energy \(\mu \). Hence, at \(\varepsilon > \mu \), \(f(\varepsilon ) \simeq \exp [(\mu – \varepsilon )/T]\). However, in the energy range \(\varepsilon > \Delta _C\), the electron escape over the BL can markedly decrease \(f(\varepsilon )\). To account for this effect, in the range in question, one can set \(f(\varepsilon ) \simeq \xi \exp [(\mu – \varepsilon )/T]\), where \(\xi = \tau _{\bot }/(\tau _{ee} + \tau _{\bot })\) with \(\tau _{\bot }\) being the electron try-to-escape time.

Considering that the height of the potential barrier for the electrons in the GC and in the metal gate are equal to \(\Delta _C – \mu \) and \(\Delta _M + e(V_G + \varphi )\), respectively, the density of the thermionic electron current can be presented as

$$\begin{aligned} j \simeq j^{max} \biggl [\exp \biggl (\frac{\mu – \Delta _C}{T}\biggl ) – \exp \biggl (-\frac{\Delta _M + e \Phi }{T_0}\biggr )\biggr ]. \end{aligned}$$

(1)

Here \(j^{max}= e\Sigma /\tau _{\bot }\) is the characteristic (maximum) GC-gate DC density, \(\Sigma \) is the electron density in the GC induced by the donors and gate voltage, and \(e =|e|\) is the electron charge. One can assume that \(\tau _{\bot }\) is determined by the momentum relaxation time, associated with the quasi-elastic scattering of the high-energy electrons, i.e., with acoustic phonons (in sufficiently perfect GCs). Due to this, it is natural to assume that \(\tau _{\bot } > \tau _{ac} \gg \tau _{ee}\). The Fermi energy \(\mu \) is determined by both the GC doping and the gate voltage.

Equation (1) leads to the following expressions for the thermionic DC density \({{\overline{j}}}\), corresponding to the DC temperature \({\overline{T}}\):

$$\begin{aligned} {{\overline{j}}}=j^{max}\biggl [\exp \biggl (\frac{\mu – \Delta _C}{{{\overline{T}}}}\biggl ) -\exp \biggl (\frac{\mu -\Delta _C -eV_G}{T_0}\biggr )\biggr ]. \end{aligned}$$

(2)

Due to the dependence of \(\mu \) on \(V_G\), Eq. (2) provides the GC-gate I-V characteristics. Since \({{\overline{T}}}\) also depends on \(V_G\) (because of the electron heating in the GC by the lateral DC), the latter dependence can somewhat contribute to the GC-FET characteristics as well.

At sufficiently high GC lateral conductivity in the situations under consideration (large \(\Sigma \) and \(\mu \)), the DC potential and the DC effective temperature nonuniformity along the GC are weak (\({{\overline{T}}}\simeq const\)). This implies that we disregard the possible DC crowding. A high electron thermal conductivity additionally suppresses the above nonuniformity.

The AC variation \(\delta j_{\omega }\) due to the potential oscillations leading to the electron heating is given by

$$\begin{aligned} \delta j_{\omega } = j^{max}\frac{\delta T_{\omega }}{ {{\overline{T}}}} \frac{(\Delta _C -\mu )}{ {{\overline{T}}}}\exp \biggl (\frac{\mu – \Delta _C}{ {{\overline{T}}}}\biggr ) \end{aligned}$$

(3)

Here we omitted the term containing the factor \( (e\delta \varphi _{\omega }/T_0 )^2/2\) with \(\delta \varphi _{\omega }\) being the GC potential ac component. In this case, the quantity \(\delta j_{\omega }\), given by Eq. (3), does not depend explicitly on the AC variations of the GC potential (only via the effective temperature variation \(\delta T_{\omega }\)). This is due to a specific shape of the energy barrier for the electrons in the GC (see Fig. 1c).

Rectified current and effective carrier temperature

The incoming THz radiation results in variations of the potential in the GC. This leads to extra electron heating and the variation of the electron temperature \(\delta T = T – {{\overline{T}}}\). According to Eq. (3), the variation of the net gate current associated with the effect of the incoming THz radiation averaged over its period (rectified photocurrent) is given by

$$\begin{aligned}<\overline{\delta J_{\omega }}>= J^{max}{{\mathscr {F}}}(V_G) \frac{<\overline{\delta T_{\omega }}>}{{{\overline{T}}}}. \end{aligned}$$

(4)

Here \(J^{max} = 2LHj^{max}\), and 2L and H are the GC length and width,

$$\begin{aligned} {{\mathscr {F}}}(V_G) = \frac{(\Delta _C -\mu )}{{{\overline{T}}}}\exp \biggl (\frac{\mu – \Delta _C}{{{\overline{T}}}}\biggr ) = \frac{[\Delta _M -(\mu -\mu _D)]}{{{\overline{T}}}}\exp \biggl [\frac{(\mu -\mu _D) – \Delta _M}{{{\overline{T}}}}\biggr ] \end{aligned}$$

(5)

is the barrier factor, and the symbols \(<…>\) and \(\overline{<…>}\) denote the averaging over the signal period \(2\pi /\omega \) and the length of the GC, respectively, with

$$\begin{aligned}<\overline{\delta T_{\omega }}>= \frac{1}{2L}\int _{-L}^Ldx<\delta T_{\omega }>. \end{aligned}$$

(6)

The dependence of the factor \({{\mathscr {F}}}(V_G)\) on the gate voltage as associated with the voltage dependence of the electron Fermi energy (see below).

The effective electron temperature T is determined by the balance of the electron energy transfer to the lattice and the energy provided by the electric field along the GL. At room temperature, the emission and absorption of the optical phonons by the electrons in GLs can be considered as a main mechanism of electron energy relaxation. In this case, the power transferring from the electrons in the GC to the optical phonons due to the intraband transitions is30,31,32,33.

$$\begin{aligned} P_0^{intra} = \hbar \omega _0 R_0^{intra}. \end{aligned}$$

(7)

Here

$$\begin{aligned} R_0^{intra} = R_0 \frac{\hbar \omega _0\mu ^2}{T_0^3}\biggl [\biggl (1 + \frac{1}{{{\mathscr {N}}}_0}\biggr )\exp \biggl (-\frac{\hbar \omega _0}{T}\biggr )- 1\biggr ], \end{aligned}$$

(8)

\(\hbar \omega _0 \sim 200\) meV is the optical phonon energy, \({{\mathscr {N}}}_0 = [\exp (\hbar \omega _0/T_0)-1]^{-1} \simeq \exp (-\hbar \omega _0/T_0)\), \(R_0\) is the characteristic rate of the interband absorption of optical phonons, and \(T_0\) is the lattice temperature. At moderate THz power, the effective electron temperature T is close to the optical phonon temperature \(T_0\), and Eq. (8) yields for \(R_0^{intra}\):

$$\begin{aligned} R_0^{intra} \simeq R_0 \frac{\hbar \omega _0\mu ^2}{T_0^3}\biggl (\frac{1}{T_0} – \frac{1}{T}\biggr ). \end{aligned}$$

(9)

Equalizing \( R_0^{intra}\) given by Eq. (9) and the Joule power associated with the AC in the GC, for the THz range of frequencies (in which one can assume \(\omega \gg 1/\tau _{\varepsilon }\)), we arrive at the following energy balance equation:

$$\begin{aligned} \frac{<\overline{\delta T_{\omega }}>}{\tau _{\varepsilon }} = \frac{\textrm{Re}~\sigma _{\omega }}{2\Sigma _0L} \int _{-L}^{L}dx\biggl |\frac{d\varphi _{\omega }}{dx}\biggr |^2. \end{aligned}$$

(10)

Here Re \(\sigma _{\omega } = \sigma _0\nu ^2/(\nu ^2+\omega ^2)\) is the real part of the GC Drude conductivity, \(\sigma _0 = e^2\mu /\pi \hbar ^2\nu \) is its DC value, \(\nu \) is the frequency of the electron collisions on impurities, acoustic phonons, as well as due to the carrier viscosity (see42, and the references therein). Accounting for the deviation of the optical phonon temperature \(T_0\) from the lattice temperature \(T_l\), the carrier energy relaxation time \(\tau _{\varepsilon }\) associated with the interaction with optical phonons is estimated as32 \(\tau _{\varepsilon } = \tau _0 (1 + \xi _0)(T_l/\hbar \omega _0)^2\exp (\hbar \omega _0/T_l) \simeq \tau _0 (1 + \xi _0)(T_0/\hbar \omega _0)^2\exp (\hbar \omega _0/T_l)\), where \(\tau _0\) is the characteristic time of the spontaneous optical phonon intraband emission by the electrons and \(\xi _0 = \tau _0^{decay}/\tau _0\), and \(\tau _0^{decay}\) is the decay time of optical phonons in GCs.

Plasmonic oscillations factor

The description of the spatio-temporal oscillations of the electron density and the self-consistent electric field, i.e., the plasmonic oscillations in the GLs (see, for example32,33,34,35,36,37) forced by the incoming THz signals can be reduced to a differential equation for the AC potential of the gated GC filled by the electrons (followed from a hydrodynamic electron transport model equations43,44,45 coupled with the Poisson equation), \(\delta \varphi _{\omega }(x)\) :

$$\begin{aligned} \frac{d^2\delta \varphi _{\omega }}{dx^2} + \frac{\omega (\omega +i\nu )}{s^2}\delta \varphi _{\omega } =0, \end{aligned}$$

(11)

supplemented by the following boundary conditions:

$$\begin{aligned} \delta \varphi _{\omega }|_{x= \pm L}| =\pm \frac{\delta V_{\omega }}{2}\exp (-i\omega t), \qquad \delta \varphi _{\omega }^s|_{x= \pm L}| = \delta V_{\omega }\exp (-i\omega t). \end{aligned}$$

(12)

Here \(s = \sqrt{4\,e^2\mu \,w/\kappa \hbar ^2}\) is the plasma-wave velocity in the gated GC.

The above equations yield the following formula for the AC potential along the GC

$$\begin{aligned} \delta \varphi _{\omega }^a = \frac{\delta V_{\omega }}{2}\frac{\sin (\gamma _{\omega }x/L)}{\sin \gamma _{\omega }}, \qquad \delta \varphi _{\omega }^s = \delta V_{\omega }\frac{\cos (\gamma _{\omega }x/L)}{\cos \gamma _{\omega }}. \end{aligned}$$

(13)

Here

$$\begin{aligned} \gamma _{\omega } = \pi \frac{\sqrt{\omega (\omega +i\nu )}}{\Omega }, \qquad \Omega = \sqrt{\frac{4\pi ^2\,e^2\mu \,W}{\kappa \hbar ^2L^2}} \end{aligned}$$

(14)

are the normalized wavenumber and the characteristic frequency of the plasmonic oscillations of the electron system in the GC-FET under consideration.

The AC electric field along the GC is equal to

$$\begin{aligned} \frac{d\varphi _{\omega }^a}{dx} = \frac{\delta V_{\omega }}{2} \frac{\gamma _{\omega }}{L}\frac{\cos (\gamma _{\omega }x/L)}{\sin \gamma _{\omega }}, \qquad \frac{d\varphi _{\omega }^s}{dx} = -\delta V_{\omega } \frac{\gamma _{\omega }}{L}\frac{\sin (\gamma _{\omega }x/L)}{\cos \gamma _{\omega }} \end{aligned}$$

(15)

that, accounting for Eq. (12), yields

$$\begin{aligned} \frac{<\overline{ \delta T_{\omega }}>^{a,s}}{\tau _{\varepsilon }} = \biggl |\frac{\delta V_{\omega }}{2}\biggr |^2 \frac{\sigma _0}{{\overline{\Sigma }}L^2}{{\mathscr {P}}}_{\omega }^{a,s}. \end{aligned}$$

(16)

Here

$$\begin{aligned} {{\mathscr {P}}}^a_{\omega } = \frac{\nu ^2}{(\nu ^2+\omega ^2)} \int _0^1d\zeta \biggl |\frac{\gamma _{\omega }\cos (\gamma _{\omega }\zeta )}{\sin \gamma _{\omega }}\biggr |^2, \qquad {{\mathscr {P}}}^S_{\omega } = \frac{\nu ^2}{(\nu ^2+\omega ^2)} \int _0^1d\zeta \biggl |\frac{\gamma _{\omega }\sin (\gamma _{\omega }\zeta )}{\cos \gamma _{\omega }}\biggr |^2 \end{aligned}$$

(17)

are the plasmonic factors, which can be also presented as

$$\begin{aligned} {{\mathscr {P}}}^a_{\omega } \simeq \biggl (\frac{\pi \nu }{\Omega }\biggr )^2 \frac{\omega }{\sqrt{(\nu ^2+\omega ^2)}}\frac{ P^a_{\omega }}{|\sin \gamma _{\omega }|^2}, \qquad {{\mathscr {P}}}^s_{\omega } \simeq \biggl (\frac{\pi \nu }{\Omega }\biggr )^2 \frac{\omega }{\sqrt{(\nu ^2+\omega ^2)}}\frac{ P^s_{\omega }}{|\cos \gamma _{\omega }|^2}, \end{aligned}$$

(18)

with \(P^a_{\omega } = \int _0^1d\zeta |\cos (\gamma _{\omega }\zeta )|^2\) and \(P^s_{\omega } = \int _0^1d\zeta |\sin (\gamma _{\omega }\zeta )|^2\) being functions of the order of unity oscillating with the frequency. If \(\omega \ll \Omega \) (\(\gamma _{\omega }\) tends to zero), Eqs. (17) and (18) yield \({{\mathscr {P}}}^a_{\omega } \simeq 1\) and \({{\mathscr {P}}}^s_{\omega } \simeq 0\).

Combining Eqs. (4), (6), and (16), we obtain

$$\begin{aligned} \frac{<\overline{\delta J_{\omega }}>^{a,s}}{J^{max}} = \biggl |\frac{\delta V_{\omega }}{2}\biggr |^2\frac{\sigma _0\tau _{\varepsilon }}{{\overline{\Sigma }}L^2} {{\mathscr {F}}}(V_G)\,{{\mathscr {P}}}^{a,s}_{\omega }. \end{aligned}$$

(19)

The detector response depends on the antenna type (see, for example,46,47). Using an antenna specially desined for the THz range could substantially increase the collected power47. Here we define the GC-FET detector current responsivity (in the A/W units) and its voltage responsivity (in the V/W units) as

$$\begin{aligned} {{\mathscr {R}}}_{\omega } = \frac{<\overline{\delta J_{\omega }}>^{a,s}}{ S_{\omega }},\qquad {{\mathscr {R}}}_{\omega }^V = \frac{<\overline{\delta J_{\omega }}>^{a,s}}{S_{\omega }} \rho , \end{aligned}$$

(20)

respectively. Here \(S_{\omega }\) is the THz power collected by an antenna and \(\rho = 2L/H\sigma _0\) is the GC DC resistance (for the case of load resistance equal to the GC resistance). This collected power is estimated as \(S_{\omega } = I_{\omega }A_{\omega }\), where \(I_{\omega }\) is the intensity of the impinging radiation and \(A_{\omega } = \lambda _{\omega }^2g/4\pi \) is the antenna aperture46, \(\lambda _{\omega }\) is the radiation wavelength, and g is the antenna gain. Consideringm as an example, the half-wavelength dipole antenna, for which \(|\delta V_{\omega }|^2 \simeq I_{\omega } (8\pi /c)(\lambda _{\omega }/\pi )^2\), where c is the speed of light in vacuum, we obtain \(|\delta V_{\omega }|^2 = 32S_{\omega }/gc\).

Accounting for Eqs. (18) and (19), we obtain

$$\begin{aligned} {{\mathscr {R}}}_{\omega } = \frac{32}{g c}\frac{<\overline{\delta J_{\omega }}>^{a,s}}{|\delta V_{\omega }|^2}, \qquad {{\mathscr {R}}}_{\omega }^V = \frac{32}{gc}\frac{<\overline{\delta J_{\omega }}>^{a,s}}{|\delta V_{\omega }|^2}\,\rho . \end{aligned}$$

(21)

The latter equations yield

$$\begin{aligned} {{\mathscr {R}}}_{\omega }= {{\mathscr {R}}}_0 {{\mathscr {F}}}(V_G){{\mathscr {P}}}^{a,s}_{\omega },\qquad {{\mathscr {R}}}_{\omega }^V = {{\mathscr {R}}_0}^V {{\mathscr {F}}}(V_G)\,{{\mathscr {P}}}_{\omega }^{a,s}, \end{aligned}$$

(22)

where

$$\begin{aligned} {{\mathscr {R}}}_0 =\frac{16}{g}\frac{e\sigma _0}{{{\overline{T}}} c} \frac{\tau _{\varepsilon }}{\tau _{\bot }}\frac{H}{L},\qquad {{\mathscr {R}}}_0^V= \displaystyle \frac{32}{g}\frac{e}{{{\overline{T}}}c}\frac{\tau _{\varepsilon }}{\tau _{\bot }}. \end{aligned}$$

(23)

According to Eq. (23), the characteristic voltage responsivity \({{\mathscr {R}}}_0^V\) does not explicitly depend on the frequency of electron collisions \(\nu \).

It is instructive that the responsivity at \(V_G=0\) does not turn to zero because of the factor \({{\mathscr {F}}}(0) \ne 0\), so that \(<\overline{\delta J_{\omega }} >0\).

Source link

Cryptohopper
ADVERTISEMENT
[crypto-donation-box]
Tags: _1xblackAschannelDetectionfieldeffectGategrapheneLayerplasmonicradiationresonantterahertztransistors
Share76Tweet47
Ledger Nano X - The secure hardware wallet
Previous Post

‘NFTs Can’t Scale’ in Current Form, Say Superduper Co-founders

Next Post

Here’s Why XRP Failed To Move Following The Release Of Hinman’s Emails

Related Posts

BlockDAG’s CEO and Team Announced: Expected to Surpass Hedera and Polygon with a  Projection

BlockDAG’s CEO and Team Announced: Expected to Surpass Hedera and Polygon with a $1 Projection

30 July 2024
0

In the latest Hedera (HBAR) update, the integration of Blade, a self-custody Web3 wallet, demonstrates Hedera’s commitment to simplifying digital...

VeChain (VET) And Hedera (HBAR) Triple Red Charts. Rollblock (RBLK) Seems The Summer Sure Money Bet – Times Tabloid

VeChain (VET) And Hedera (HBAR) Triple Red Charts. Rollblock (RBLK) Seems The Summer Sure Money Bet – Times Tabloid

28 July 2024
0

VeChain and Hedera have been in freefall since the start of the March correction. Despite both being fundamentally solid projects...

400,000 New Hedera Accounts in One Week: Blade Wallet in

400,000 New Hedera Accounts in One Week: Blade Wallet in

25 July 2024
0

Hedera Network is growing with a massive 400,000 new accounts bagged in one week. The network is looking to serve...

Why Whales Are Betting Big on WW3Shiba and Shifting from Dogecoin!

Why Whales Are Betting Big on WW3Shiba and Shifting from Dogecoin!

24 July 2024
0

Hedera (HBAR) is capitalizing on its innovative technology to challenge Bitcoin's (BTC) legacy. Bitcoin continues to shrug off challenges from...

This New Crypto Presale Has Gone Viral In July As HBAR and FIL Holders Are Lured By 100x Potential

This New Crypto Presale Has Gone Viral In July As HBAR and FIL Holders Are Lured By 100x Potential

22 July 2024
0

As Bitcoin climbs to its all-time high, investors holding altcoins like Hedera (HBAR) and Filecoin (FIL) are considering new tokens...

Load More
Next Post
Here’s Why XRP Failed To Move Following The Release Of Hinman’s Emails

Here’s Why XRP Failed To Move Following The Release Of Hinman’s Emails

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Plugin Install : Widget Tab Post needs JNews - View Counter to be installed
  • Trending
  • Comments
  • Latest
Solana Ecosystem Trends Among Top Gainers as Alpenglow Discussions Increase – Coinspeaker

Solana Ecosystem Trends Among Top Gainers as Alpenglow Discussions Increase – Coinspeaker

12 September 2025
3 Low-Cap Altcoins Showing Strong Accumulation Trends

3 Low-Cap Altcoins Showing Strong Accumulation Trends

12 September 2025
Dogecoin and BNB Rise as Bitcoin, Ethereum Hit Highest Prices This Month – Yahoo Finance

Dogecoin and BNB Rise as Bitcoin, Ethereum Hit Highest Prices This Month – Yahoo Finance

12 September 2025
Dogecoin and BNB Rise as Bitcoin, Ethereum Hit Highest Prices This Month – Decrypt

Dogecoin and BNB Rise as Bitcoin, Ethereum Hit Highest Prices This Month – Decrypt

12 September 2025

About Us

We publish a comprehensive news feed covering all news relevant to the crypto user, covering main industry news, politics and regulation as well as consumer-level “news you can use” (practical stuff), including handy DIY tips, links to useful tools, unbiased reviews and opinions revolving around cryptocurrency. Simple logic and real-world examples are preferred before technical jargon and personal rants.

Categories

  • Altcoin
  • ApeCoin
  • Bitcoin
  • Blockchain
  • BNB
  • Cardano
  • Cryptocurrency
  • DOGE
  • DOT
  • Ethereum
  • HBAR
  • Litecoin
  • Market
  • Meta News
  • Mining
  • NFT
  • QNT
  • Regulation
  • SHIBA
  • Solano
  • Tether
  • Uncategorized
  • XDC
  • XLM
  • XRP

What’s New Here!

  • Solana Ecosystem Trends Among Top Gainers as Alpenglow Discussions Increase – Coinspeaker
  • 3 Low-Cap Altcoins Showing Strong Accumulation Trends
  • Dogecoin and BNB Rise as Bitcoin, Ethereum Hit Highest Prices This Month – Yahoo Finance
  • Dogecoin and BNB Rise as Bitcoin, Ethereum Hit Highest Prices This Month – Decrypt
  • Streamer Gets Slapped by Gym Influencer Bradley Martyn, Pumping Solana Token – Yahoo Finance

Subscribe Now

Our Partner

Round Main Logo
  • About Us
  • Privacy Policy
  • Contact Us

© 2022-2025 coin24h.com

No Result
View All Result
  • Home
  • Cryptocurrency
    • Bitcoin
    • Ethereum
    • XRP
    • Litecoin
    • Altcoin
    • Cardano
    • Tether
    • DOGE
    • Solano
    • XLM
    • DOT
    • XDC
    • SHIBA
    • BNB
    • Ape
    • HBAR
    • QNT
  • Blockchain
  • Regulation
  • Market
  • Live
    • Prices
    • ICO
  • Meta
    • NFT
  • Technical Analysis
    • XRP
    • BTC
    • XLM
    • ADA
    • TETHER
    • ETC
    • ETH
    • DOGE
    • LTC
  • Exchange
  • Mining

© 2020 coin24h.com

Welcome Back!

Login to your account below

Forgotten Password? Sign Up

Create New Account!

Fill the forms below to register

All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In
  • bitcoinBitcoin (BTC) $ 115,973.00
  • ethereumEthereum (ETH) $ 4,706.19
  • xrpXRP (XRP) $ 3.10
  • tetherTether (USDT) $ 1.00
  • solanaSolana (SOL) $ 242.49
  • bnbBNB (BNB) $ 928.24
  • usd-coinUSDC (USDC) $ 0.999710
  • dogecoinDogecoin (DOGE) $ 0.278584
  • staked-etherLido Staked Ether (STETH) $ 4,696.90
  • cardanoCardano (ADA) $ 0.927085
  • tronTRON (TRX) $ 0.352106
  • wrapped-stethWrapped stETH (WSTETH) $ 5,699.33
  • chainlinkChainlink (LINK) $ 25.02
  • wrapped-beacon-ethWrapped Beacon ETH (WBETH) $ 5,074.74
  • hyperliquidHyperliquid (HYPE) $ 55.38
  • wrapped-bitcoinWrapped Bitcoin (WBTC) $ 115,791.00
  • ethena-usdeEthena USDe (USDE) $ 1.00
  • suiSui (SUI) $ 3.72
  • stellarStellar (XLM) $ 0.403985
  • wrapped-eethWrapped eETH (WEETH) $ 5,054.02
  • figure-helocFigure Heloc (FIGR_HELOC) $ 1.01
  • avalanche-2Avalanche (AVAX) $ 29.23
  • bitcoin-cashBitcoin Cash (BCH) $ 596.79
  • wethWETH (WETH) $ 4,704.74
  • hedera-hashgraphHedera (HBAR) $ 0.245411
  • litecoinLitecoin (LTC) $ 118.03
  • leo-tokenLEO Token (LEO) $ 9.64
  • crypto-com-chainCronos (CRO) $ 0.251154
  • the-open-networkToncoin (TON) $ 3.23
  • shiba-inuShiba Inu (SHIB) $ 0.000014
  • usdsUSDS (USDS) $ 0.999524
  • coinbase-wrapped-btcCoinbase Wrapped BTC (CBBTC) $ 115,955.00
  • binance-bridged-usdt-bnb-smart-chainBinance Bridged USDT (BNB Smart Chain) (BSC-USD) $ 1.00
  • polkadotPolkadot (DOT) $ 4.34
  • whitebitWhiteBIT Coin (WBT) $ 44.33
  • uniswapUniswap (UNI) $ 10.18
  • ethena-staked-usdeEthena Staked USDe (SUSDE) $ 1.20
  • mantleMantle (MNT) $ 1.71
  • world-liberty-financialWorld Liberty Financial (WLFI) $ 0.204540
  • ethenaEthena (ENA) $ 0.770891
  • moneroMonero (XMR) $ 284.71
  • pepePepe (PEPE) $ 0.000012
  • aaveAave (AAVE) $ 318.24
  • bitget-tokenBitget Token (BGB) $ 4.95
  • daiDai (DAI) $ 1.00
  • okbOKB (OKB) $ 198.68
  • memecoreMemeCore (M) $ 2.24
  • jito-staked-solJito Staked SOL (JITOSOL) $ 298.15
  • nearNEAR Protocol (NEAR) $ 2.79
  • bittensorBittensor (TAO) $ 359.58