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Search for "energy efficiency" in Full Text gives 37 result(s) in Beilstein Journal of Nanotechnology.
Review on optofluidic microreactors for artificial photosynthesis
Beilstein J. Nanotechnol. 2018, 9, 30–41, doi:10.3762/bjnano.9.5
- materials with high energy efficiency while circumventing all the problems. Optofluidic technology has recently exploded with new concepts to enable fine control of light and liquids in microscale structures [39][40][41]. In fact, NPS is naturally an optofluidic system as it is carried out in microscale
Beyond Moore’s technologies: operation principles of a superconductor alternative
Beilstein J. Nanotechnol. 2017, 8, 2689–2710, doi:10.3762/bjnano.8.269
- Nanotechnologies ASM, Chisinau, Moldova 10.3762/bjnano.8.269 Abstract The predictions of Moore’s law are considered by experts to be valid until 2020 giving rise to “post-Moore’s” technologies afterwards. Energy efficiency is one of the major challenges in high-performance computing that should be answered
- clearly manifested in supercomputer industry. Energy efficiency becomes a crucial parameter constraining the advance of supercomputers [4][5][6]. The power consumption level of the most powerful modern supercomputer Sunway TaihuLight [7] is as high as 15.4 MW. It corresponds to a peak performance of 93
- millions of dollars per year. Following the corresponding roadmap [9], the goal for the power consumption level of exaFLOPS supercomputers should be of the order of ≈20 MW. This corresponds to an energy efficiency of 20 pJ/FLOP or 50 GFLOPS/W. Unfortunately, the energy efficiency of modern supercomputers
Two-dimensional carbon-based nanocomposites for photocatalytic energy generation and environmental remediation applications
Beilstein J. Nanotechnol. 2017, 8, 1571–1600, doi:10.3762/bjnano.8.159
Adiabatic superconducting cells for ultra-low-power artificial neural networks
Beilstein J. Nanotechnol. 2016, 7, 1397–1403, doi:10.3762/bjnano.7.130
- . We optimize their parameters for application in three-layer perceptron and radial basis function networks. Keywords: adiabatic superconductor cells; artificial neural networks; energy efficiency; Josephson effect; superconductivity; Findings Artificial neural networks (ANNs) are famous for their
- recognition of signals or images [2][3][4][5][6]. The important features of receiving systems exploited in such areas are high energy efficiency, sensitivity and variability in signal processing. This makes the utilization of superconducting electronic constituents a natural choice. Superconducting digital
- reduce the energy efficiency of the superconducting circuit. In another recent approach to multilayer perceptron, SQUIDs were utilized as nonlinear magnetic flux transducers, allowing the ANN to persist in the superconducting state [18]. The implemented neuron scheme is quite analogous to the quantum
Microwave synthesis of high-quality and uniform 4 nm ZnFe2O4 nanocrystals for application in energy storage and nanomagnetics
Beilstein J. Nanotechnol. 2016, 7, 1350–1360, doi:10.3762/bjnano.7.126
- energy efficiency. And this is why ZFO and other spinel ferrites are not used in commercial secondary batteries, despite high theoretical specific capacities. Nevertheless, because nanomaterials are known to better resist stresses, it was worthwhile testing the 4 nm diameter ZFO nanocrystals in Li half
Thickness dependence of the triplet spin-valve effect in superconductor–ferromagnet–ferromagnet heterostructures
Beilstein J. Nanotechnol. 2016, 7, 957–969, doi:10.3762/bjnano.7.88
- , a triplet SSV was employed to induce magnetism into a normal conducting metal [60]. Triplet SSVs are expected to perform logical functions like the normal conducting giant magnetoresistance (GMR) devices, however, with a much better energy efficiency [61]. Sample preparation and characterization The
Synthesis and applications of carbon nanomaterials for energy generation and storage
Beilstein J. Nanotechnol. 2016, 7, 149–196, doi:10.3762/bjnano.7.17
- worldwide. The first immediate solution to this problem would be to work on energy efficiency programs. With the implementation of such programs, it has been demonstrated that developed nations could already reduce energy consumption by 25% [6]. The majority (about 87%) of energy produced in 2013 was
Green and energy-efficient methods for the production of metallic nanoparticles
Beilstein J. Nanotechnol. 2015, 6, 2354–2376, doi:10.3762/bjnano.6.243
- workers. The recovery of these solvents through conventional distillation process is often energy-intensive. Therefore, in case of NPs synthesis, scientists focused on safer solutions, such as solventless systems or non-toxic solvents, i.e., the water/glycerol system [92][126][127]. Energy efficiency
- : Reducing the activation energy of the chemical processes by selecting appropriate precursors in a way that the conversion can take place at ambient temperature is an important target to reduce energy consumption [128]. Enhancing the energy efficiency of a chemical process and using alternative energies
Comprehensive characterization and understanding of micro-fuel cells operating at high methanol concentrations
Beilstein J. Nanotechnol. 2015, 6, 2000–2006, doi:10.3762/bjnano.6.203
- quantitative evaluation of the efficiency of fuel cells can be assessed taking into account the faradaic and energy efficiency concepts [33]. A simple finite element model was built for this application, tuned and validated by comparing the results against experimental polarization curves and efficiencies. The
- Faraday constant. The energy efficiency of the fuel cell can be evaluated by comparing the power delivered by the cell when it is discharged to the energy that the fuel cell could deliver ideally, that is, when working at its theoretical voltage [33]: where v(t) is the operating voltage, i(t) the measured
- the comparison of experimental and simulated values of faradaic efficiency and energy efficiency obtained for 2 and 4 M at 180 and 300 mV. As it can be seen, the difference between the measured and calculated efficiencies is less than 2% in most cases, which supports the validity of the model and
From lithium to sodium: cell chemistry of room temperature sodium–air and sodium–sulfur batteries
Beilstein J. Nanotechnol. 2015, 6, 1016–1055, doi:10.3762/bjnano.6.105
Challenges in realizing ultraflat materials surfaces
Beilstein J. Nanotechnol. 2013, 4, 875–885, doi:10.3762/bjnano.4.99
- Figure 4g). Acknowledgements This research was supported in part by the New Energy and Industrial Technology Development Organization (NEDO) under the Research and Development Program of Innovative Energy Efficiency Technology, under the program of Strategic Development on Rationalization Technology
A nano-graphite cold cathode for an energy-efficient cathodoluminescent light source
Beilstein J. Nanotechnol. 2013, 4, 493–500, doi:10.3762/bjnano.4.58
- sources is necessary to provide better energy efficiency, spectral characteristics, and other properties desired by the consumer. The process of cathodoluminescence (CL), which is potentially able to provide a conversion of up to 35% [3] (or more for nanostructured phosphors [4]) of the energy of the
- and the CL layer reduces the loss of electron energy and, thus, increases the overall energy efficiency of the lamp. The light generated in the CL phosphor radiates directly from the lamp through the transparent glass surface. An example of such a kind of lamp is presented by the photograph in Figure
- CdS:CuAl for green, Y2O2S:Eu for red, and ZnS:Ag for blue. Measured emission spectra and color coordinates (marked by white circle) for each segment are shown in Figure 7. With a total power consumption of about 2 W per segment, light intensities correspond to an energy efficiency of about 10% for green
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