English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
 Local TagsRelease HistoryDetailsSummary
  Identification of Optimal Metal-Organic Frameworks by Machine Learning: Structure Decomposition, Feature Integration, and Predictive Modeling

Wang, Z., Zhou, Y., Zhou, T., & Sundmacher, K. (2022). Identification of Optimal Metal-Organic Frameworks by Machine Learning: Structure Decomposition, Feature Integration, and Predictive Modeling. Computers & Chemical Engineering, 160: 107739. doi:10.1016/j.compchemeng.2022.107739.

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://hdl.handle.net/21.11116/0000-000A-19E2-B Version Permalink: https://hdl.handle.net/21.11116/0000-000E-802E-E
Genre: Journal Article

Files

show Files
hide Files
:
10.1016_j.compchemeng.2022.107739.pdf (Publisher version), 5MB
 
File Permalink:
-
Name:
10.1016_j.compchemeng.2022.107739.pdf
Description:
-
OA-Status:
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-
:
wang_Manuscript_3369666.pdf (Postprint), 2MB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-000A-6BB6-1
Name:
wang_Manuscript_3369666.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-
:
wang_Supporting_ Information_3369666.pdf (Supplementary material), 735KB
View   Save
File Permalink:
https://hdl.handle.net/21.11116/0000-000A-6BB7-0
Name:
wang_Supporting_ Information_3369666.pdf
Description:
-
OA-Status:
Not specified
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
View
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Wang, Zihao1, 2, Author           
Zhou, Yageng1, Author           
Zhou, Teng1, 3, Author           
Sundmacher, Kai1, 3, Author           
Affiliations:
1Process Systems Engineering, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738151              
2International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143              
3Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

Content

show

Details

show
hide
Language(s): eng - English
 Dates: 2022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.compchemeng.2022.107739
Other: pubdata_escidoc:3369666
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Computers & Chemical Engineering
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 160 Sequence Number: 107739 Start / End Page: - Identifier: ISSN: 00981354