Institution
Chalmers University of Technology
Education•Gothenburg, Sweden•
About: Chalmers University of Technology is a education organization based out in Gothenburg, Sweden. It is known for research contribution in the topics: Catalysis & Finite element method. The organization has 17191 authors who have published 53951 publications receiving 1520592 citations. The organization is also known as: Chalmers Tekniska Högskola & Chalmers.
Papers published on a yearly basis
Papers
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TL;DR: A mitogenic hydrogel system based on alginate sulfate which potently supports chondrocyte phenotype, but is not printable due to its rheological properties (no yield point) is identified.
Abstract: One of the challenges of bioprinting is to identify bioinks which support cell growth, tissue maturation, and ultimately the formation of functional grafts for use in regenerative medicine. The influence of this new biofabrication technology on biology of living cells, however, is still being evaluated. Recently we have identified a mitogenic hydrogel system based on alginate sulfate which potently supports chondrocyte phenotype, but is not printable due to its rheological properties (no yield point). To convert alginate sulfate to a printable bioink, it was combined with nanocellulose, which has been shown to possess very good printability. The alginate sulfate/nanocellulose ink showed good printing properties and the non-printed bioink material promoted cell spreading, proliferation, and collagen II synthesis by the encapsulated cells. When the bioink was printed, the biological performance of the cells was highly dependent on the nozzle geometry. Cell spreading properties were maintained with the lowest extrusion pressure and shear stress. However, extruding the alginate sulfate/nanocellulose bioink and chondrocytes significantly compromised cell proliferation, particularly when using small diameter nozzles and valves.
297 citations
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TL;DR: In this paper, a food first paradigm was applied in the estimations of land potentially available for the production of biofuel feedstocks, without putting at risk food supply or nature conservation.
Abstract: Europe's agricultural land (including Ukraine) comprise of 164 million hectares of cultivated land and 76 million hectares of permanent pasture. A "food first" paradigm was applied in the estimations of land potentially available for the production of biofuel feedstocks, without putting at risk food supply or nature conservation. Three land conversion scenarios were formulated: (i) A base scenario, that reflects developments under current policy settings and respects current trends in nature conservation and organic farming practices, by assuming moderate overall yield increases; (ii) an environment oriented scenario with higher emphasis on sustainable farming practices and maintenance of biodiversity; and (iii) an energy oriented scenario considering more substantial land use conversions including the use of pasture land. By 2030 some 44-53 million hectares of cultivated land could be used for bioenergy feed-stock production. The energy oriented scenario includes an extra 19 million hectares pasture land for feedstocks for second-generation biofuel production chains. Available land is foremost to be found in Eastern Europe, where substantial cultivated areas can be freed up through sustainable gains in yield in the food and feed sector. Agricultural residues of food and feed crops may provide an additional source for biofuel production. When assuming that up to 50% of crop residues can be used without risks for agricultural sustainability, we estimate that up to 246 Mt agricultural residues could be available for biofuel production, comparable to feedstock plantations of some 15-20 million hectares.
297 citations
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TL;DR: In this article, the feasibility of the use of a manganese-based oxygen carrier supported on magnesium stabilized zirconia was tested in a continuously operating laboratory CLC unit, consisting of two interconnected fluidized beds.
297 citations
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TL;DR: In this article, the authors introduce the concept of a multi-technology corporation (MTC) and elaborates upon some critical problems in managing innovation in such a context, and a model that may aid in conceptualizing various technology strategies is presented.
297 citations
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TL;DR: The proposed machine-learning technique, random forest regression, is able to learn the dependency of the battery capacity on the features that are extracted from the charging voltage and capacity measurements, and is promising for online battery capacity estimation.
296 citations
Authors
Showing all 17401 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jens Nielsen | 149 | 1752 | 104005 |
Frede Blaabjerg | 147 | 2161 | 112017 |
Galen D. Stucky | 144 | 958 | 101796 |
Naomi J. Halas | 140 | 435 | 82040 |
Peter Nordlander | 130 | 482 | 67703 |
Yuri S. Kivshar | 126 | 1845 | 79415 |
Henrik Zetterberg | 125 | 1736 | 72452 |
Christoph J. Brabec | 120 | 896 | 68188 |
Mathias Uhlén | 117 | 861 | 68387 |
Anders Ekbom | 116 | 613 | 51430 |
Flemming Besenbacher | 114 | 728 | 51827 |
Olle Inganäs | 113 | 627 | 50562 |
Philip Hugenholtz | 109 | 452 | 75841 |
Licheng Sun | 106 | 747 | 49992 |
Ralf P. Richter | 105 | 661 | 45214 |