REVIEW 2 major objections 5 minor 79 references
Heat Transport Hysteresis Generated through Frequency Switching of a Time-Dependent Temperature Gradient
T0 review · 2 major / 5 minor · reviewed 2026-08-10 · deepseek-v4-flash
Pith's one-line read The paper derives exact analytical energy-flux formulas for a Langevin particle coupled to two heat baths with oscillating temperatures, where one bath's oscillation frequency is periodically switched, and shows that this frequency…
desk verdict A clean analytic extension to frequency-switched baths whose control claim needs an explicit commensurability condition before publication. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is the time-dependent nonequilibrium state (TDNES) of a Langevin particle, and the method is the Sekimoto stochastic-energetics decomposition of the Langevin equation into system and bath energy fluxes. The load-bearing identities are the exact flux formulas Eqs. (24)-(26) (free particle) and Eqs. (46)-(47) (harmonic oscillator), built from the piecewise integrals $I(t,\gamma)$ and $P(t,\gamma)$ that sum the right bath's contribution over completed $\omega_{R1}$ and $\omega_{R2}$ segments. The phase factor $\phi = T_{R1}(\omega_{R1}-\omega_{R2})$ keeps $T_R(t)$ continuous at each switch, and the overall period $T_R = T_{R1}+T_{R2}$ makes the long-time state periodic, which is what turns the flux into a closed hysteresis loop in the $J$-$\Delta T$ plane.
What would settle it
Measure the time-resolved heat flux through a single-molecule junction while oscillating both electrode temperatures and periodically switching one electrode's oscillation frequency between a fast and a slow value; if the observed J-versus-$\Delta$-T loops lack the predicted knee at the switching time, the pinched multi-loop topology, or the quantitative flux values of Eqs. (46)-(47) for parameters like those of Figs. 3-5, the central claim would be refuted.
Extended reading notes
Core claim
The central discovery is that periodically switching the oscillation frequency of one bath's temperature turns the heat-transport hysteresis curve into a piecewise-smooth, multi-valued loop whose shape is exactly computable. For a free particle and for a harmonic oscillator, the long-time energy fluxes $J_L(t)$, $J_R(t)$, and $J_{\rm sys}(t)$ are given in closed form by Eqs. (24)-(26) and (46)-(47), which incorporate the frequency-switched right-bath temperature through the piecewise integrals $I(t,\gamma)$ and $P(t,\gamma)$. These expressions show that when the right-bath frequency switches between $\omega_{R1}$ and $\omega_{R2}$, the hysteresis curve jumps from one loop to another at the switching time, yielding kneed, pinched, and multi-loop structures; the sharpness of the knee decreases as the harmonic force constant $k$ increases. Excellent agreement with molecular dynamics simulation supports the claim that these exact expressions capture the transport physics.
Load-bearing premise
Each bath is a memoryless Markovian reservoir whose temperature enters only through the instantaneous noise strength, and the frequency switch is instantaneous, so the bath dynamics itself is unchanged except for the prescribed temperature.
Editorial extensions
If this is right
- A single nanoscale junction can be switched between distinct hysteresis-loop shapes, giving multiple memory states in the flux response.
- The exact formulas predict where pinched loops and multi-loop structures appear as functions of the two switching frequencies, temperature amplitudes, and harmonic force constant.
- Increasing the harmonic force constant smooths the switching knee, so the two frequency regimes blend into a single loop.
- The derivation extends the stochastic-energetics toolkit to piecewise time-dependent temperatures, enabling systematic study of other switching protocols.
- The results support the feasibility of thermal memristors and memcapacitors that store information in hysteretic heat flux.
Reading between the lines
- If the switching frequencies are incommensurate, the strict periodicity underlying the closed loops would break, likely producing quasiperiodic or slowly drifting flux trajectories rather than exact closed hysteresis loops.
- The flux has derivative discontinuities at each switch, so tools from piecewise-smooth dynamical systems could characterize the knee, pinching, and loop-bifurcation behavior beyond the examples shown.
- The phase factor that keeps the right-bath temperature continuous at each switch could be tuned independently, offering an extra design parameter for reshaping loops.
- Real molecular junctions with non-Markovian baths or anharmonic potentials would deviate quantitatively from these exact formulas, but the qualitative pinching and multi-loop features should survive if the Markovian assumption holds approximately.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper develops a stochastic-energetics description of heat transport in a single-particle model coupled to two Langevin baths, where one bath temperature oscillates sinusoidally and the other is piecewise frequency-switched between two oscillation frequencies. Analytical expressions for the energy fluxes JL, JR, and Jsys are derived for a free particle and a harmonic oscillator in the long-time time-dependent nonequilibrium state (TDNES), and the expressions are used to construct heat-flux-versus-temperature-difference hysteresis loops. The authors report agreement with nonequilibrium molecular dynamics simulations in a free-particle case and a harmonic-oscillator case, and they show that frequency switching produces pinched and multi-loop hysteresis structures, which they argue are relevant to thermal memristors and memcapacitors.
Significance. The model is exactly solvable within its stated assumptions, and the derivation from the Langevin equation and Sekimoto energy balance is transparent and contains no fitted parameters. The validation against independent simulation in the free-particle and harmonic-oscillator cases is a genuine strength. If the periodicity restriction discussed in the major comments is made explicit, the paper would provide a clean exact illustration of how frequency switching can reshape hysteresis and generate memory-like response; the connection to thermal neuromorphic devices is qualitative but plausible. The main novelty is the piecewise frequency-switching mechanism and the resulting pinched and multi-loop hysteresis structures.
major comments (2)
- [Section II (Eqs. (5)-(6)) and Section IV (Figures 3-5)] The combined left/right driving is T_R-periodic only if ω_L T_R/(2π) is rational, yet the paper never states this compatibility condition. All of the TDNES derivation and the closed hysteresis curves in Figures 3-5 assume a common period T_R. For incommensurate ω_L and 2π/T_R, the long-time state is quasiperiodic, the expressions in Eqs. (24)-(26) and (46)-(47) do not describe a closed curve over one T_R, and the claimed pinched loops, multi-loop structures, and thermal-memory behavior are not well-defined. The authors should state the commensurability requirement explicitly and restrict the hysteresis/memory claims to that case, or analyze the quasiperiodic case separately.
- [Figure 4 and Section IV] The central demonstration of frequency-switching-induced multi-loop and pinched hysteresis is presented only through analytical curves, without simulation data for that parameter set. Since Figures 2 and 5 show that such validation is feasible, providing a simulation comparison for Figure 4 would substantially strengthen the claim that the predicted multi-loop structures are a real feature of the model rather than an artifact of the analytical expressions.
minor comments (5)
- [Eq. (4)] The second interval in the definition of ω_R(t) is written as 'TR1 ≤ tmod < TR2'; it should be 'TR1 ≤ tmod < TR1 + TR2' (i.e., the full period TR).
- [Eq. (38)] The right-bath noise-velocity correlation is written with the left-bath coupling γ_L on the right-hand side; it should be γ_R.
- [Section II] The sentence introducing the coupling strengths says 'γL and γL parameterize'; this should presumably read 'γL and γR parameterize'.
- [Figure 5 caption] The caption labels the k=0 panel as a harmonic oscillator, though k=0 is the free-particle case; consider clarifying that the k=0 limit recovers the free-particle result.
- [Section III.A] The text says that the t→∞ limit yields the TDNES while retaining terms containing e^{-2γt}; it would be clearer to state explicitly that the combination e^{-2γt} I(t,γ) is what remains finite and periodic in this limit.
Circularity Check
No significant circularity: the energy-flux expressions are derived from the stated Langevin model and validated against independent NEMD simulations; self-citations provide only the starting formalism.
full rationale
The paper's central result, Eqs. (24)-(26) and (46)-(47), is obtained by directly evaluating the noise-velocity and velocity correlation functions (Eqs. (15)-(17) and (37)-(39)) from the specified Langevin dynamics in Eqs. (1)-(2), with no parameter fitted to the hysteresis data. The only recourse to prior work by the authors (Refs. 3, 27, and 60) is to justify the standard Sekimoto flux decomposition and to set the general form of the calculation; the frequency-switched temperature TR(t) in Eq. (6) and the piecewise integrals I(t, gamma) and P(t, gamma) are new to this paper and are derived, not assumed. The analytical expressions are then checked against independent stochastic molecular dynamics simulations (Figs. 2 and 5), so the claimed prediction is not equivalent to an input by construction. The paper does not explicitly state the commensurability condition (omega_L T_R/(2 pi) rational) needed for the combined driving to be strictly T_R-periodic, and this is a genuine scope/validity caveat for incommensurate parameters, but it does not make the derivation circular. Consequently there are no circularity steps to report.
Assumptions & free parameters
assumptions (4)
- standard math Gaussian white-noise Langevin dynamics: formal solutions (14) and (34) and the delta-correlation integrations are treated as standard.
- domain assumption The thermal baths are memoryless Markovian reservoirs: noise correlations are delta-correlated with instantaneous temperatures TL(t) and TR(t), Eq. (2).
- domain assumption A time-periodic nonequilibrium state with overall period TR exists in the long-time limit.
- domain assumption The system is linear: only free or harmonic potentials are considered, so the exact Gaussian response follows from the Langevin equation.
Cite this review
Pith. "Pith review of Heat Transport Hysteresis Generated through Frequency Switching of a Time-Dependent Temperature Gradient." pith.science (2026). https://pith.science/paper/7R32I5W7
@misc{pith2026250112649,
author = {Pith},
title = {Pith review of: Heat Transport Hysteresis Generated through Frequency Switching of a Time-Dependent Temperature Gradient},
year = {2026},
howpublished = {\url{https://pith.science/paper/7R32I5W7}},
note = {Machine review of arXiv:2501.12649}
}
read the original abstract
A stochastic energetics framework is applied to examine how periodically shifting the frequency of a time-dependent oscillating temperature gradient affects heat transport in a nanoscale molecular model. We specifically examine the effects that frequency switching, i.e., instantaneously changing the oscillation frequency of the temperature gradient, has on the shape of the heat transport hysteresis curves generated by a particle connected to two thermal baths, each with a temperature that is oscillating in time. Analytical expressions are derived for the energy fluxes in/out of the system and the baths, with excellent agreement observed between the analytical expressions and the results from nonequilibrium molecular dynamics simulations. We find that the shape of the heat transport hysteresis curves can be significantly altered by shifting the frequency between fast and slow oscillation regimes. We also observe the emergence of features in the hysteresis curves such as pinched loops and complex multi-loop patterns due to the frequency shifting. The presented results have implications in the design of thermal neuromorphic devices such as thermal memristors and thermal memcapacitors.
Figures
Figures from the paper (2 more)
Reference graph
Works this paper leans on
-
[1]
Jsys is the energy flux in/out of the system
-
[2]
JL is the energy flux associated with the left bath
-
[3]
JR is the energy flux associated with the right bath A sum over all the energy fluxes obeys conservation of energy: JL(t) + JR(t) + Jsys(t) = 0. (10) The expectation values for the energy fluxes can be expressed as [3, 4, 66, 70, 71]: JL(t) = mγL v2(t) − m ξL(t)v(t) , (11) JR(t) = mγR v2(t) − m ξR(t)v(t) , (12) Jsys(t) = d E(t) dt , (13) where E(t) is the...
-
[4]
P. Ben-Abdallah, AIP Adv. 7, 065002 (2017), doi:10.1063/1.4985055
-
[5]
J. Ordonez-Miranda, Y. Ezzahri, J. A. Tiburcio-Moreno, K. Joulain, and J. Drevillon, Phys. Rev. Lett. 123, 025901 (2019), doi:10.1103/PhysRevLett.123.025901
-
[6]
R. Chen, T. Gibson, and G. T. Craven, Phys. Rev. E 108, 024148 (2023), doi:10.1103/PhysRevE.108.024148
-
[7]
J. L. Lebowitz, Phys. Rev. 114, 1192 (1959), doi:10.1103/PhysRev.114.1192
-
[8]
Z. Rieder, J. L. Lebowitz, and E. Lieb, J. Math. Phys. 8, 1073 (1967), doi:10.1063/1.1705319
Show all 79 references
-
[9]
Casher and J
A. Casher and J. L. Lebowitz, J. Math. Phys. 12, 1701 (1971), doi:10.1063/1.1665794
1971 doi
-
[10]
D. G. Cahill, W. K. Ford, K. E. Goodson, G. D. Mahan, A. Majumdar, H. J. Maris, R. Merlin, and S. R. Phillpot, J. Appl. Phys. 93, 793 (2003), doi:10.1063/1.1524305
2003 doi
-
[11]
Segal and A
D. Segal and A. Nitzan, Phys. Rev. Lett. 94, 034301 (2005), doi:10.1103/PhysRevLett.94.034301
2005 doi
-
[12]
Segal and B
D. Segal and B. K. Agarwalla, Annu. Rev. Phys. Chem. 67, 185 (2016), doi:10.1146/annurev- physchem-040215-112103
2016 doi
-
[13]
Galperin, A
M. Galperin, A. Nitzan, and M. A. Ratner, Phys. Rev. B 75, 155312 (2007), doi:10.1103/PhysRevB.75.155312
2007 doi
-
[14]
Narayana and Y
S. Narayana and Y. Sato, Phys. Rev. Lett. 108, 214303 (2012), doi:10.1103/PhysRevLett.108.214303
2012 doi
-
[15]
Maldovan, Nature 503, 209 (2013), doi:10.1038/nature12608
M. Maldovan, Nature 503, 209 (2013), doi:10.1038/nature12608
2013 doi
-
[16]
D. M. Leitner, Annu. Rev. Phys. Chem. 59, 233 (2008), doi:10.1146/annurev.physchem.59.032607.093606
2008 arXiv
-
[17]
D. M. Leitner, J. Phys. Chem. B 117, 12820 (2013), doi:10.1021/jp402012z
2013 doi
-
[18]
Brandner, K
K. Brandner, K. Saito, and U. Seifert, Phys. Rev. X 5, 031019 (2015), doi:10.1103/PhysRevX.5.031019
2015 doi
-
[19]
N. Li, J. Ren, L. Wang, G. Zhang, P. H¨ anggi, and B. Li, Rev. Mod. Phys. 84, 1045 (2012), doi:10.1103/RevModPhys.84.1045
2012 doi
-
[20]
Dubi and M
Y. Dubi and M. Di Ventra, Rev. Mod. Phys. 83, 131 (2011), doi:10.1103/RevModPhys.83.131. 21
2011 doi
-
[21]
J. S. Lim, R. L´ opez, and D. S´ anchez, Phys. Rev. B 88, 201304 (2013), doi:10.1103/PhysRevB.88.201304
2013 doi
-
[22]
G. T. Craven and A. Nitzan, Proc. Natl. Acad. Sci. 113, 9421 (2016), doi:10.1073/pnas.1609141113
2016 doi
-
[23]
J. Zhu, Y. Liu, and D. He, Phys. Rev. E 103, 062121 (2021), doi:10.1103/PhysRevE.103.062121
2021 doi
-
[24]
Ordonez-Miranda, R
J. Ordonez-Miranda, R. Anufriev, M. Nomura, and S. Volz, Phys. Rev. B 106, L100102 (2022), doi:10.1103/PhysRevB.106.L100102
2022 doi
-
[26]
Sharony, R
I. Sharony, R. Chen, and A. Nitzan, J. Chem. Phys. 153, 144113 (2020), doi:10.1063/5.0022423
2020 doi
-
[27]
S. V. Dmitriev, V. A. Kuzkin, and A. M. Krivtsov, Phys. Rev. E 108, 054221 (2023), doi:10.1103/PhysRevE.108.054221
2023 doi
-
[28]
Dastgeer, Z
G. Dastgeer, Z. M. Shahzad, H. Chae, Y. H. Kim, B. M. Ko, and J. Eom, Adv. Funct. Mater. 32, 2204781 (2022), doi:10.1002/adfm.202204781
2022 doi
-
[29]
Dastgeer, S
G. Dastgeer, S. Nisar, A. Rasheed, K. Akbar, V. D. Chavan, D. kee Kim, S. M. Wabaidur, M. W. Zulfiqar, and J. Eom, Nano Energy 119, 109106 (2024), doi:10.1016/j.nanoen.2023.109106
2024
-
[30]
R. Chen, T. Gibson, and G. T. Craven, J. Chem. Phys. 160, 194305 (2024), doi:10.1063/5.0204819
2024 doi
-
[31]
G. T. Craven and A. Nitzan, J. Chem. Phys. 158 (2023), doi:10.1063/5.0144248
2023 doi
-
[32]
Segal and A
D. Segal and A. Nitzan, J. Chem. Phys. 122, 194704 (2005), doi:10.1063/1.1900063
2005 doi
- [33]
-
[34]
Segal, Phys
D. Segal, Phys. Rev. Lett. 100, 105901 (2008), doi:10.1103/PhysRevLett.100.105901
2008 doi
-
[35]
Wu and D
L.-A. Wu and D. Segal, Phys. Rev. Lett. 102, 095503 (2009), doi:10.1103/PhysRevLett.102.095503
2009 doi
-
[36]
G. T. Craven, D. He, and A. Nitzan, Phys. Rev. Lett. 121, 247704 (2018), doi:10.1103/PhysRevLett.121.247704
2018 doi
-
[37]
M. A. Sim´ on, A. Ala˜ na, M. Pons, A. Ruiz-Garc ´ ıa, and J. G. Muga, Phys. Rev. E103, 012134 (2021), doi:10.1103/PhysRevE.103.012134. 22
2021 doi
-
[38]
D. M.-T. Kuo and Y.-C. Chang, Phys. Rev. B 81, 205321 (2010), doi:10.1103/PhysRevB.81.205321
2010 doi
-
[39]
B. Li, L. Wang, and G. Casati, Phys. Rev. Lett. 93, 184301 (2004), doi:10.1103/PhysRevLett.93.184301
2004 doi
-
[41]
Roberts and D
N. Roberts and D. Walker, Int. J. Therm. Sci. 50, 648 (2011), doi:10.1016/j.ijthermalsci.2010.12.004
2011 doi
-
[42]
M. J. Mart ´ ınez-P´ erez, A. Fornieri, and F. Giazotto, Nature Nanotech. 10, 303 (2015), doi:10.1038/nnano.2015.11
2015 doi
-
[43]
H. Zhao, X. Yang, C. Wang, R. Lu, T. Zhang, H. Chen, and X. Zheng, Mater. Today Phys. 30, 100941 (2023), doi:10.1016/j.mtphys.2022.100941
2023
-
[44]
Romero-Bastida and B
M. Romero-Bastida and B. A. Mart ´ ınez-Torres, J. Phys.: Condens. Matter36, 025302 (2023), doi:10.1088/1361-648X/acff32
2023 doi
-
[45]
B. Li, L. Wang, and G. Casati, Appl. Phys. Lett. 88, 143501 (2006), doi:10.1063/1.2191730
2006 doi
-
[46]
Ben-Abdallah and S.-A
P. Ben-Abdallah and S.-A. Biehs, Phys. Rev. Lett. 112, 044301 (2014), doi:10.1103/PhysRevLett.112.044301
2014 doi
-
[47]
Joulain, J
K. Joulain, J. Drevillon, Y. Ezzahri, and J. Ordonez-Miranda, Phys. Rev. Lett. 116, 200601 (2016), doi:10.1103/PhysRevLett.116.200601
2016 doi
-
[48]
S. Wang, A. L. Cottrill, Y. Kunai, A. R. Toland, P. Liu, W.-J. Wang, and M. S. Strano, Phys. Chem. Chem. Phys. 19, 13172 (2017), doi:10.1039/C7CP02445B
2017 doi
-
[49]
G. T. Craven and A. Nitzan, J. Chem. Phys. 146, 092305 (2017), doi:10.1063/1.4971293
2017 doi
-
[50]
A. A. Odebowale, A. M. Berhe, H. T. Hattori, and A. E. Miroshnichenko, Applied Sciences 14 (2024), 10.3390/app14062633
2024 doi
-
[51]
Seifert, Rep
U. Seifert, Rep. Prog. Phys. 75, 126001 (2012), http://stacks.iop.org/0034- 4885/75/i=12/a=126001
2012
-
[52]
Van den Broeck, in Physics of Complex Colloids, Vol
C. Van den Broeck, in Physics of Complex Colloids, Vol. 184 (IOS Phys. Rev. Ess, 2013) pp. 155–193
2013
- [53]
-
[54]
Brey and J
J. Brey and J. Casado, J. Stat. Phys. 61, 713 (1990)
1990
-
[55]
A. V. Popov and R. Hernandez, J. Chem. Phys. 126, 244506 (2007), doi:10.1063/1.2743032. 23
2007 doi
-
[56]
A. V. Popov and R. Hernandez, Phys. Rev. E 88, 032145 (2013), 10.1103/Phys- RevE.88.032145
2013 doi
-
[57]
I. J. Ford, Z. P. L. Laker, and H. J. Charlesworth, Phys. Rev. E 92, 042108 (2015), doi:10.1103/PhysRevE.92.042108
2015 doi
-
[58]
Brandner and U
K. Brandner and U. Seifert, Phys. Rev. E 93, 062134 (2016), doi:10.1103/PhysRevE.93.062134
2016 doi
-
[59]
Awasthi and S
S. Awasthi and S. B. Dutta, Phys. Rev. E 103, 062143 (2021), doi:10.1103/PhysRevE.103.062143
2021 doi
-
[60]
Portugal, F
P. Portugal, F. Brange, and C. Flindt, Phys. Rev. Res. 4, 043112 (2022), doi:10.1103/PhysRevResearch.4.043112
2022 doi
-
[61]
Lanoisel´ ee, A
Y. Lanoisel´ ee, A. Stanislavsky, D. Calebiro, and A. Weron, Phys. Rev. E106, 064127 (2022), doi:10.1103/PhysRevE.106.064127
2022 doi
-
[62]
V. A. Kuzkin and A. M. Krivtsov, Phys. Rev. E 101, 042209 (2020), doi:10.1103/PhysRevE.101.042209
2020 doi
-
[63]
Chen and G
R. Chen and G. T. Craven, Journal of Physics: Condensed Matter 36, 405201 (2024), doi:10.1088/1361-648X/ad5d40
2024 doi
-
[64]
Bernardo, C
M. Bernardo, C. Budd, A. R. Champneys, and P. Kowalczyk, Piecewise-smooth dynamical systems: theory and applications, Vol. 163 (Springer Science & Business Media, 2008)
2008
-
[65]
Bonet, M
C. Bonet, M. R. Jeffrey, P. Mart ´ ın, and J. M. Olm, Communications in Nonlinear Science and Numerical Simulation 102, 105950 (2021)
2021
-
[66]
Bonet, M
C. Bonet, M. R. Jeffrey, P. Mart ´ ın, and J. M. Olm, Communications in Nonlinear Science and Numerical Simulation 118, 107032 (2023)
2023
-
[67]
Han and Q
X. Han and Q. Bi, Chaos, Solitons & Fractals 169, 113270 (2023)
2023
-
[68]
Jiang, X
S. Jiang, X. Han, and H. Yu, Nonlinear Dynamics 112, 19013 (2024)
2024
-
[69]
Sekimoto, Prog
K. Sekimoto, Prog. Theor. Phys. Supp. 130, 17 (1998), doi:10.1143/PTPS.130.17
1998 doi
-
[71]
G. T. Craven and A. Nitzan, J. Chem. Phys. 148, 044101 (2018), doi:10.1063/1.5007854
2018 doi
-
[72]
A. C. Barato, E. Rold´ an, I. A. Mart ´ ınez, and S. Pigolotti, Phys. Rev. Lett. 121, 090601 (2018), doi:10.1103/PhysRevLett.121.090601
2018 doi
-
[73]
Sabhapandit, Phys
S. Sabhapandit, Phys. Rev. E 85, 021108 (2012), doi:10.1103/PhysRevE.85.021108
2012 doi
-
[74]
Dhar and R
A. Dhar and R. Dandekar, Physica A 418, 49 (2015), doi:10.1016/j.physa.2014.06.002. 24
2015 doi
-
[75]
Reddy, S.-Y
P. Reddy, S.-Y. Jang, R. A. Segalman, and A. Majumdar, Science 315, 1568 (2007), doi:10.1126/science.1137149
2007 doi
-
[76]
A. Tan, J. Balachandran, S. Sadat, V. Gavini, B. D. Dunietz, S.-Y. Jang, and P. Reddy, J. Am. Chem. Soc. 133, 8838 (2011), doi:10.1021/ja202178k
2011 doi
-
[77]
W. Lee, K. Kim, W. Jeong, L. A. Zotti, F. Pauly, J. C. Cuevas, and P. Reddy, Nature 498, 209 (2013), doi:10.1038/nature12183
2013 doi
-
[78]
Y. Kim, W. Jeong, K. Kim, W. Lee, and P. Reddy, Nature Nanotech. 9, 881 (2014), doi:10.1038/nnano.2014.209
2014 doi
-
[79]
Capozzi, J
B. Capozzi, J. Xia, O. Adak, E. J. Dell, Z.-F. Liu, J. C. Taylor, J. B. Neaton, L. M. Campos, and L. Venkataraman, Nature Nanotech. 10, 522 (2015), doi:10.1038/nnano.2015.97
2015 doi
-
[80]
L. Cui, S. Hur, Z. A. Akbar, J. C. Kl¨ ockner, W. Jeong, F. Pauly, S.-Y. Jang, P. Reddy, and E. Meyhofer, Nature 572, 628 (2019), doi:10.1038/s41586-019-1420-z
2019 doi
-
[81]
Mosso, H
N. Mosso, H. Sadeghi, A. Gemma, S. Sangtarash, U. Drechsler, C. Lambert, and B. Gotsmann, Nano Letters 19, 7614 (2019), doi:10.1021/acs.nanolett.9b02089
2019 doi
-
[82]
N. A. Zimbovskaya and A. Nitzan, J. Phys. Chem. B 124, 2632 (2020), doi:10.1021/acs.J. Phys. Chem. B.0c00059. 25
2020 doi
Reviewed August 10, 2026 · model on record in the stance chip above.
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