Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Mario R. Eden"'
Publikováno v:
Chemical Engineering Transactions, Vol 70 (2018)
This paper highlights the need for a new class of computer aided tools applicable for a wide range of chemicals-based product synthesis-design and the sustainable design of their corresponding manufacturing processes. The new tools are needed to meet
Externí odkaz:
https://doaj.org/article/b6d2dd68440d4d7eb45cbf15928fc6c4
Publikováno v:
Computers & Chemical Engineering. 176:108288
Publikováno v:
Industrial & Engineering Chemistry Research. 60:436-456
Chemical products can be classified as single species, mixtures and/or blends, formulated and/or functional products, and chemicals-based devices. Each product class is represented by a suite of mo...
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323851596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ca2f4f35b7f573447002d2dc0e0bf6
https://doi.org/10.1016/b978-0-323-85159-6.50116-0
https://doi.org/10.1016/b978-0-323-85159-6.50116-0
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323851596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18c8fed6b0757a9b8e77251ea2d96d01
https://doi.org/10.1016/b978-0-323-85159-6.50168-8
https://doi.org/10.1016/b978-0-323-85159-6.50168-8
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323851596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34b7e0afe746d6c3370bcc268c7917a6
https://doi.org/10.1016/b978-0-323-85159-6.50119-6
https://doi.org/10.1016/b978-0-323-85159-6.50119-6
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323958790
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84c09b98fea1f82cddd2b8a8fe8ff78d
https://doi.org/10.1016/b978-0-323-95879-0.50119-3
https://doi.org/10.1016/b978-0-323-95879-0.50119-3
Publikováno v:
Computer Aided Chemical Engineering ISBN: 9780323851596
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94ac626236f92413ac867e7fdcc4559a
https://doi.org/10.1016/b978-0-323-85159-6.50025-7
https://doi.org/10.1016/b978-0-323-85159-6.50025-7
Publikováno v:
AIChE Journal. 68
Quantitative structure-property relationship (QSPR) studies based on deep neural networks (DNN) are receiving increasing attention due to their excellent performances. A systematic methodology coupling multiple machine learning technologies is propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::495581004e4d728ecfccf94d228aae52
https://doi.org/10.22541/au.162206662.29993062/v1
https://doi.org/10.22541/au.162206662.29993062/v1