107 research outputs found
GURLS: a Toolbox for Regularized Least Squares Learning
We present GURLS, a toolbox for supervised learning based on the regularized least squares algorithm. The toolbox takes advantage of all the favorable properties of least squares and is tailored to deal in particular with multi-category/multi-label problems. One of the main advantages of GURLS is that it allows training and tuning a multi-category classifier at essentially the same cost of one single binary classifier. The toolbox provides a set of basic functionalities including different training strategies and routines to handle computations with very large matrices by means of both memory-mapped storage and distributed task execution. The system is modular and can serve as a basis for easily prototyping new algorithms. The toolbox is available for download, easy to set-up and use
Decarbonization of aviation via hydrogen propulsion: technology performance targets and energy system impacts
The aviation sector is challenging to decarbonize since aircraft require high
power and energy per unit of weight. Liquid hydrogen is an interesting solution
due to its high gravimetric energy density, minimal warming impact, and
low-carbon production potential. We quantify the performance targets for fuel
cell systems and on-board storage to enable hydrogen-powered regional aviation.
We then explore the energy infrastructure impacts of meeting this additional H2
demand in the European context under deep decarbonization scenarios. We find
that minimal payload reduction would be needed for powering regional aviation
up to 1000 nmi if fuel cell system specific power of 2 kW/kg and tank
gravimetric index of 50% can be achieved. The energy systems analysis
highlights the importance of utilizing multiple technology options: such as
nuclear expansion and natural gas reforming with CCS for hydrogen production.
Levelized cost of liquid hydrogen as low as 3.5 Euros/kg demonstrates pathways
for Europe to achieve cost-competitive production.Comment: 25 pages, 6 figures. (38 pages with SI, 7 SI figures
Integrating Hydrogen in Single-Price Electricity Systems: The Effects of Spatial Economic Signals
Hydrogen can contribute substantially to the reduction of carbon emissions in
industry and transportation. However, the production of hydrogen through
electrolysis creates interdependencies between hydrogen supply chains and
electricity systems. Therefore, as governments worldwide are planning
considerable financial subsidies and new regulation to promote hydrogen
infrastructure investments in the next years, energy policy research is needed
to guide such policies with holistic analyses. In this study, we link a
electrolytic hydrogen supply chain model with an electricity system dispatch
model, for a cross-sectoral case study of Germany in 2030. We find that
hydrogen infrastructure investments and their effects on the electricity system
are strongly influenced by electricity prices. Given current uniform prices,
hydrogen production increases congestion costs in the electricity grid by 17%.
In contrast, passing spatially resolved electricity price signals leads to
electrolyzers being placed at low-cost grid nodes and further away from
consumption centers. This causes lower end-use costs for hydrogen. Moreover,
congestion management costs decrease substantially, by up to 20% compared to
the benchmark case without hydrogen. These savings could be transferred into
according subsidies for hydrogen production. Thus, our study demonstrates the
benefits of differentiating economic signals for hydrogen production based on
spatial criteria
Sector coupling via hydrogen to lower the cost of energy system decarbonization
There is growing interest in hydrogen (H) use for long-duration energy
storage in a future electric grid dominated by variable renewable energy (VRE)
resources. Modelling the role of H as grid-scale energy storage, often
referred as "power-to-gas-to-power (P2G2P)" overlooks the cost-sharing and
emission benefits from using the deployed H production and storage assets
to also supply H for decarbonizing other end-use sectors where direct
electrification may be challenged. Here, we develop a generalized modelling
framework for co-optimizing energy infrastructure investment and operation
across power and transportation sectors and the supply chains of electricity
and H, while accounting for spatio-temporal variations in energy demand and
supply. Applying this sector-coupling framework to the U.S. Northeast under a
range of technology cost and carbon price scenarios, we find a greater value of
power-to-H (P2G) versus P2G2P routes. P2G provides flexible demand
response, while the extra cost and efficiency penalties of P2G2P routes make
the solution less attractive for grid balancing. The effects of sector-coupling
are significant, boosting VRE generation by 12-55% with both increased
capacities and reduced curtailments and reducing the total system cost (or
levelized costs of energy) by 6-14% under 96% decarbonization scenarios. Both
the cost savings and emission reductions from sector coupling increase with
H demand for other end-uses, more than doubling for a 96% decarbonization
scenario as H demand quadraples. Moreover, we found that the deployment of
carbon capture and storage is more cost-effective in the H sector because
of the lower cost and higher utilization rate. These findings highlight the
importance of using an integrated multi-sector energy system framework with
multiple energy vectors in planning energy system decarbonization pathways.Comment: 19 pages, 7 figure
Gelatin-based 3D conduits for transdifferentiation of mesenchymal stem cells into Schwann cell-like phenotypes
In this study, gelatin-based 3D conduits with three different microstructures (nanofibrous, macroporous and ladder-like) were fabricated for the first time via combined molding and thermally induced phase separation (TIPS) technique for peripheral nerve regeneration. The effects of conduit microstructure and mechanical properties on the transdifferentiation of bone marrow-derived mesenchymal stem cells (MSCs) into Schwann cell (SC) like phenotypes were examined to help facilitate neuroregeneration and understand material-cell interfaces. Results indicated that 3D macroporous and ladder-like structures enhanced MSC attachment, proliferation and spreading, creating interconnected cellular networks with large numbers of viable cells compared to nanofibrous and 2D-tissue culture plate counterparts. 3D-ladder-like conduit structure with complex modulus of ∼0.4 × 106 Pa and pore size of ∼150 μm provided the most favorable microenvironment for MSC transdifferentiation leading to ∼85% immunolabeling of all SC markers. On the other hand, the macroporous conduits with complex modulus of ∼4 × 106 Pa and pore size of ∼100 μm showed slightly lower (∼65% for p75, ∼75% for S100 and ∼85% for S100β markers) immunolabeling. Transdifferentiated MSCs within 3D-ladder-like conduits secreted significant amounts (∼2.5 pg/mL NGF and ∼0.7 pg/mL GDNF per cell) of neurotrophic factors, while MSCs in macroporous conduits released slightly lower (∼1.5 pg/mL NGF and 0.7 pg/mL GDNF per cell) levels. PC12 cells displayed enhanced neurite outgrowth in media conditioned by conduits with transdifferentiated MSCs. Overall, conduits with macroporous and ladder-like 3D structures are promising platforms in transdifferentiation of MSCs for neuroregeneration and should be further tested in vivo. Statement of Significance This manuscript focuses on the effect of microstructure and mechanical properties of gelatin-based 3D conduits on the transdifferentiation of mesenchymal stem cells to Schwann cell-like phenotypes. This work builds on our recently accepted manuscript in Acta Biomaterialia focused on multifunctional 2D films, and focuses on 3D microstructured conduits designed to overcome limitations of current strategies to facilitate peripheral nerve regeneration. The comparison between conduits fabricated with nanofibrous, macroporous and ladder-like microstructures showed that the ladder-like conduits showed the most favorable environment for MSC transdifferentiation to Schwann-cell like phenotypes, as seen by both immunolabeling as well as secretion of neurotrophic factors. This work demonstrates the importance of controlling the 3D microstructure to facilitate tissue engineering strategies involving stem cells that can serve as promising approaches for peripheral nerve regeneration.US Army Medical Research and Materiel Command (W81XWH-11-1-0700); Stem Cell Biology Fund; Stanley Endowed Chai
Round-the-clock power supply and a sustainable economy via synergistic integration of solar thermal power and hydrogen processes
We introduce a paradigm-"hydricity"-that involves the coproduction of hydrogen and electricity from solar thermal energy and their judicious use to enable a sustainable economy. We identify and implement synergistic integrations while improving each of the two individual processes. When the proposed integrated process is operated in a standalone, solely power production mode, the resulting solar water power cycle can generate electricity with unprecedented efficiencies of 40-46%. Similarly, in standalone hydrogen mode, pressurized hydrogen is produced at efficiencies approaching similar to 50%. In the coproduction mode, the coproduced hydrogen is stored for uninterrupted solar power production. When sunlight is unavailable, we envision that the stored hydrogen is used in a "turbine"-based hydrogen water power (H2WP) cycle with the calculated hydrogen-to-electricity efficiency of 65-70%, which is comparable to the fuel cell efficiencies. The H2WP cycle uses much of the same equipment as the solar water power cycle, reducing capital outlays. The overall sun-to-electricity efficiency of the hydricity process, averaged over a 24-h cycle, is shown to approach similar to 35%, which is nearly the efficiency attained by using the best multijunction photovoltaic cells along with batteries. In comparison, our proposed process has the following advantages: (i) It stores energy thermochemically with a two-to threefold higher density, (ii) coproduced hydrogen has alternate uses in transportation/chemical/petrochemical industries, and (iii) unlike batteries, the stored energy does not discharge over time and the storage medium does not degrade with repeated uses
Atomistic Studies of Defect Nucleation during Nanoindentation of Au (001)
Atomistic studies are carried out to investigate the formation and evolution
of defects during nanoindentation of a gold crystal. The results in this
theoretical study complement the experimental investigations [J. D. Kiely and
J. E. Houston, Phys. Rev. B, v57, 12588 (1998)] extremely well. The defects are
produced by a three step mechanism involving nucleation, glide and reaction of
Shockley partials on the {111} slip planes noncoplanar with the indented
surface. We have observed that slip is in the directions along which the
resolved shear stress has reached the critical value of approximately 2 GPa.
The first yield occurs when the shear stresses reach this critical value on all
the {111} planes involved in the formation of the defect. The phenomenon of
strain hardening is observed due to the sessile stair-rods produced by the
zipping of the partials. The dislocation locks produced during the second yield
give rise to permanent deformation after retraction.Comment: 11 pages, 13 figures, submitted to Physical Review
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