4,750 research outputs found
Electron Monte Carlo Simulations of Nanoporous Si Thin Films -- The Influence of Pore-Edge Charges
Electron transport within nanostructures can be important to varied
engineering applications, such as thermoelectrics and nanoelectronics. In
theoretical studies, electron Monte Carlo simulations are widely used as an
alternative approach to solving the electron Boltzmann transport equation,
where the energy-dependent electron scattering, exact structure shape, and
detailed electric field distribution can be fully incorporated. In this work,
such electron Monte Carlo simulations are employed to predict the electrical
conductivity of periodic nanoporous Si films that have been widely studied for
thermoelectric applications. The focus is on the influence of pore-edge charges
on the electron transport. The results are further compared to our previous
modeling [Hao et al., J. Appl. Phys. 121, 094308 (2017)], where the pore-edge
electric field has its own scattering rate to be added to the scattering rates
of other mechanisms
Topological superconducting states in monolayer FeSe/SrTiO
The monolayer FeSe with a thickness of one unit cell grown on a
single-crystal SrTiO substrate (FeSe/STO) exhibits striking
high-temperature superconductivity with transition temperature over 65K
reported by recent experimental measurements. In this work, through analyzing
the distinctive electronic structure, and providing systematic classification
of the pairing symmetry , we find that both -and -wave pairing with odd
parity give rise to topological superconducting states in monolayer FeSe, and
the exotic properties of -wave topological superconducting states have close
relations with the unique non-symmorphic lattice structure which induces the
orbital-momentum locking. Our results indicate that the monolayer FeSe could be
in the topological nontrivial -wave superconducting states if the relevant
effective pairing interactions are dominant in comparison with other
candidates.Comment: 11 pages, 4 figure
Privacy-Preserving Transactive Energy Management for IoT-aided Smart Homes via Blockchain
With the booming of smart grid, The ubiquitously deployed smart meters
constitutes an energy internet of things. This paper develops a novel
blockchain-based transactive energy management system for IoT-aided smart
homes. We consider a holistic set of options for smart homes to participate in
transactive energy. Smart homes can interact with the grid to perform vertical
transactions, e.g., feeding in extra solar energy to the grid and providing
demand response service to alleviate the grid load. Smart homes can also
interact with peer users to perform horizontal transactions, e.g., peer-to-peer
energy trading. However, conventional transactive energy management method
suffers from the drawbacks of low efficiency, privacy leakage, and single-point
failure. To address these challenges, we develop a privacy-preserving
distributed algorithm that enables users to optimally manage their energy
usages in parallel via the smart contract on the blockchain. Further, we design
an efficient blockchain system tailored for IoT devices and develop the smart
contract to support the holistic transactive energy management system. Finally,
we evaluate the feasibility and performance of the blockchain-based transactive
energy management system through extensive simulations and experiments. The
results show that the blockchain-based transactive energy management system is
feasible on practical IoT devices and reduces the overall cost by 25%.Comment: To appea
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