Conductance Length Dependence in Carbon-Conjugated Nanoscale Systems. Use of Extended Quasi-correlated Orbitals

Author(s):  
Anatoliy V. Luzanov
Neuropeptides ◽  
2016 ◽  
Vol 57 ◽  
pp. 71-83 ◽  
Author(s):  
Mohammed Inayathullah ◽  
Aaron Tan ◽  
Rebecca Jeyaraj ◽  
James Lam ◽  
Nam-Joon Cho ◽  
...  

Soft Matter ◽  
2021 ◽  
Author(s):  
Soichiro Tottori ◽  
Karolis Misiunas ◽  
Vahe Tshitoyan ◽  
Ulrich Keyser

Understanding the diffusive behavior of particles and large molecules in channels is of fundamental importance in biological and synthetic systems, such as channel proteins, nanopores, and nanofluidics. Although theoretical and...


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Yuto Ashida ◽  
Takahiro Sagawa

AbstractThe quest to identify the best heat engine has been at the center of science and technology. Considerable studies have so far revealed the potentials of nanoscale thermal machines to yield an enhanced thermodynamic efficiency in noninteracting regimes. However, the full benefit of many-body interactions is yet to be investigated; identifying the optimal interaction is a hard problem due to combinatorial explosion of the search space, which makes brute-force searches infeasible. We tackle this problem with developing a framework for reinforcement learning of network topology in interacting thermal systems. We find that the maximum possible values of the figure of merit and the power factor can be significantly enhanced by electron-electron interactions under nondegenerate single-electron levels with which, in the absence of interactions, the thermoelectric performance is quite low in general. This allows for an alternative strategy to design the best heat engines by optimizing interactions instead of single-electron levels. The versatility of the developed framework allows one to identify full potential of a broad range of nanoscale systems in terms of multiple objectives.


2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Takafumi Ishibe ◽  
Ryo Okuhata ◽  
Tatsuya Kaneko ◽  
Masato Yoshiya ◽  
Seisuke Nakashima ◽  
...  

AbstractManaging heat dissipation is a necessity for nanoscale electronic devices with high-density interfaces, but despite considerable effort, it has been difficult to establish the phonon transport physics at the interface due to a “complex” interface layer. In contrast, the amorphous/epitaxial interface is expected to have almost no “complex” interface layer due to the lack of lattice mismatch strain and less associated defects. Here, we experimentally observe the extremely-small interface thermal resistance per unit area at the interface of the amorphous-germanium sulfide/epitaxial-lead telluride superlattice (~0.8 ± 4.0 × 10‒9 m2KW−1). Ab initio lattice dynamics calculations demonstrate that high phonon transmission through this interface can be predicted, like electron transport physics, from large vibron-phonon density-of-states overlapping and phonon group velocity similarity between propagon in amorphous layer and “conventional” phonon in crystal. This indicates that controlling phonon (or vibron) density-of-states and phonon group velocity similarity can be a comprehensive guideline to manage heat conduction in nanoscale systems.


2009 ◽  
Vol 80 (11) ◽  
Author(s):  
Petri Myöhänen ◽  
Adrian Stan ◽  
Gianluca Stefanucci ◽  
Robert van Leeuwen

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Lorenzo Marcucci ◽  
Takumi Washio ◽  
Toshio Yanagida
Keyword(s):  

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