English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  High-throughput computational solvent screening for lignocellulosic biomass processing

König-Mattern, L., Komarova, A. O., Ghosh, A., Linke, S., Rihko-Struckmann, L., Luterbacher, J., et al. (2023). High-throughput computational solvent screening for lignocellulosic biomass processing. Chemical Engineering Journal, 452: 139476. doi:10.1016/j.cej.2022.139476.

Item is

Files

show Files
hide Files
:
koenigmattern_3475933.pdf (Publisher version), 2MB
Name:
koenigmattern_3475933.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Locators

show

Creators

show
hide
 Creators:
König-Mattern, Laura1, Author           
Komarova, Anastasia O.2, Author
Ghosh, Arpa2, Author
Linke, Steffen1, 3, Author           
Rihko-Struckmann, Liisa1, Author           
Luterbacher, Jeremy2, Author
Sundmacher, Kai1, 4, Author           
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2École Polytechnique Fédérale de Lausanne, Laboratory of Sustainable and Catalytic Processing, Lausanne, Switzerland, ou_persistent22              
3International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738143              
4Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2023
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.cej.2022.139476
Other: data_escidoc:3475933
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Chemical Engineering Journal
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 452 Sequence Number: 139476 Start / End Page: - Identifier: ISSN: 13858947