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pro vyhledávání: '"Mathias Berglund"'
Non-fossil hydrocarbons are desirable for transport fuels and lubricant oils to reach a fossil carbon neutral economy. Herein, we show the production of such end-products from crude raw materials via the photosensitized dimerization of terpenes. Terp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec83f361db1af832c80c4a4a64041619
https://doi.org/10.26434/chemrxiv-2022-r35np-v2
https://doi.org/10.26434/chemrxiv-2022-r35np-v2
Autor:
Anup Rana, Leandro Cid Gomes, João S. Rodrigues, Dalia M. M. Yacout, Hugo Arrou-Vignod, Johan Sjölander, Nathalie Proos Vedin, Ouissam El Bakouri, Karin Stensjö, Peter Lindblad, Leena Andersson, Cecilia Sundberg, Mathias Berglund, Pia Lindberg, Henrik Ottosson
The hemiterpene isoprene is a volatile C5 hydrocarbon with industrial applications. It is generated today from fossil resources, but can also be made in biological processes. We have utilized engineered photosynthetic cyanobacteria for direct, light-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::593db3f1fe542e3a02d86ef2ac77c869
https://doi.org/10.26434/chemrxiv-2022-wh442-v4
https://doi.org/10.26434/chemrxiv-2022-wh442-v4
Autor:
Anup Rana, Leandro Cid Gomes, João Rodrigues, Hugo Arrou-Vignod, Johan Sjölander, Nathalie Proos Vedin, Ouissam El Bakouri, Karin Stensjö, Peter Lindblad, Leena Andersson, Mathias Berglund, Pia Lindberg, Henrik Ottosson
The hemiterpene isoprene is a volatile C5 hydrocarbon, with industrial applications. It is generated today from fossil resources, but can also be made in biological processes. We have utilized engineered photosynthetic cyanobacteria for direct, light
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a896780b08debfe328d01ca931c0f557
https://doi.org/10.26434/chemrxiv.14054564
https://doi.org/10.26434/chemrxiv.14054564
Publikováno v:
Neural networks : the official journal of the International Neural Network Society. 64
Restricted Boltzmann machines (RBMs) and deep Boltzmann machines (DBMs) are important models in deep learning, but it is often difficult to measure their performance in general, or measure the importance of individual hidden units in specific. We pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4e10d58257c257e552ea2a7cb3b645f
https://pubmed.ncbi.nlm.nih.gov/25318376
https://pubmed.ncbi.nlm.nih.gov/25318376
Publikováno v:
Neural Information Processing ISBN: 9783642420535
ICONIP (1)
ICONIP (1)
Restricted Boltzmann machines (RBMs) and deep Boltzmann machines (DBMs) are important models in deep learning, but it is often difficult to measure their performance in general, or measure the importance of individual hidden units in specific. We pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8c13cc97c74056fa276b1364374d18f
https://doi.org/10.1007/978-3-642-42054-2_60
https://doi.org/10.1007/978-3-642-42054-2_60