JuLib | Articles & more - {"Rittig, Jan G."}

Ask a Librarian

1

Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks

Brozos, Christoforos
2024

“...Rittig, Jan G....”

2

Graph Neural Networks for Surfactant Multi-Property Prediction

Brozos, Christoforos
2024

“...Rittig, Jan G....”

3

Journal Article

Graph machine learning for design of high‐octane fuels

Rittig, Jan G.
2023

AIChE journal, 69 (2023) 4, S. e17971

“...Rittig, Jan G....”
OpenAccess Restricted

4

Journal Article

Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning

Fleitmann, Lorenz
2023

Energy & fuels, 37 (2023) 3, S. 2213–2229

“...Rittig, Jan G....”
OpenAccess

5

Contribution to a book

Graph Neural Networks for the Prediction of Molecular Structure–Property Relationships

Zhang, Dongda
2023

“...Rittig, Jan G....”
OpenAccess

6

Contribution to a book
Contribution to a conference proceedings

Parameter estimation and dynamic optimization of an industrial fed-batch reactor

Rittig, Jan G.
2023

“...Rittig, Jan G....”
OpenAccess

7

Journal Article

Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids

Rittig, Jan G.
2023

Computers & chemical engineering, 171 (2023) S. 108153 -

“...Rittig, Jan G....”
OpenAccess

8

Journal Article

Physical pooling functions in graph neural networks for molecular property prediction

Schweidtmann, Artur M.
2023

Computers & chemical engineering, 172 (2023) S. 108202 -

“...Rittig, Jan G....”
OpenAccess

9

Journal Article

Gibbs–Duhem-informed neural networks for binary activity coefficient prediction

Rittig, Jan G.
2023

Digital discovery, 2 (2023) 6, S. 1752 - 1767

“...Rittig, Jan G....”
OpenAccess

10

Graph Neural Networks for Temperature-Dependent Activity Coefficient Prediction of Solutes in Ionic Liquids

Rittig, Jan G.
2022

“...Rittig, Jan G....”
OpenAccess

11

Graph neural networks for the prediction of molecular structure-property relationships

Rittig, Jan G.
2022

“...Rittig, Jan G....”
OpenAccess

12

Physical Pooling Functions in Graph Neural Networks for Molecular Property Prediction

Schweidtmann, Artur M.
2022

“...Rittig, Jan G....”
OpenAccess

13

Graph Machine Learning for Design of High-Octane Fuels

Rittig, Jan G.
2022

“...Rittig, Jan G....”
OpenAccess

14

Journal Article

Designing production-optimal alternative fuels for conventional, flexible-fuel, and ultra-high efficiency engines

König, Andrea
2021

Chemical engineering science, 237 (2021) S. 116562 -

“...Rittig, Jan G....”
OpenAccess

15

Journal Article

Graph Neural Networks for Prediction of Fuel Ignition Quality

Schweidtmann, Artur M.
2020

Energy & fuels, 34 (2020) 9, S. 11395 - 11407

“...Rittig, Jan G....”
Get full text Published on 2020-08-12. Available in OpenAccess from 2021-08-12.

Select all titles on this page