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Julian Kimmig

Showing results (1-10 of 10) with videos related to

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Advanced Materials (Deerfield Beach, Fla.)|January 7, 2021
Digital Transformation in Materials Science: A Paradigm Change in Material's DevelopmentJulian Kimmig, Stefan Zechel, Ulrich S Schubert
Polymers|September 18, 2020
Automated Polymer Purification Using DialysisTimo Schuett, Julian Kimmig, Stefan Zechel, et al.
STAR Protocols|May 3, 2024
Protocol for creating representations of molecular structures using a polymer-specific decoderYannik Köster, Julian Kimmig, Stefan Zechel, et al.
Polymers|January 21, 2022
Fully Automated Multi-Step Synthesis of Block CopolymersTimo Schuett, Julian Kimmig, Stefan Zechel, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|October 23, 2021
Prediction of Nanoparticle Sizes for Arbitrary Methacrylates Using Artificial Neuronal NetworksJulian Kimmig, Timo Schuett, Antje Vollrath, et al.
Polymers|February 15, 2022
Improvement of High-Throughput Experimentation Using Synthesis Robots by the Implementation of Tailor-Made SensorsTimo Schuett, Manuel Wejner, Julian Kimmig, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|March 9, 2023
Oxymethylene Ether (OME) Fuel Catalyst Screening Using In Situ NMR SpectroscopyPatrick Endres, Timo Schuett, Julian Kimmig, et al.
Macromolecular Rapid Communications|January 6, 2026
Structure-Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical EnsemblesJulian Kimmig, Yannik Köster, Timo Koswig, et al.
Small (Weinheim an Der Bergstrasse, Germany)|October 5, 2023
Optimization of Mixed Micelles Based on Oppositely Charged Block Copolymers by Machine Learning for Application in Gene DeliveryKatharina Leer, Liên S Reichel, Julian Kimmig, et al.
Carbohydrate Polymers|March 14, 2026
Predicting acetalated dextran nanoparticle features: Controlled synthesis, formulation, and testing in a high-throughput processThorben Köhler, Sreekanth Kunchapu, Antje Vollrath, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Advanced Materials (Deerfield Beach, Fla.)|January 7, 2021
Digital Transformation in Materials Science: A Paradigm Change in Material's DevelopmentJulian Kimmig, Stefan Zechel, Ulrich S Schubert
Polymers|September 18, 2020
Automated Polymer Purification Using DialysisTimo Schuett, Julian Kimmig, Stefan Zechel, et al.
STAR Protocols|May 3, 2024
Protocol for creating representations of molecular structures using a polymer-specific decoderYannik Köster, Julian Kimmig, Stefan Zechel, et al.
Polymers|January 21, 2022
Fully Automated Multi-Step Synthesis of Block CopolymersTimo Schuett, Julian Kimmig, Stefan Zechel, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|October 23, 2021
Prediction of Nanoparticle Sizes for Arbitrary Methacrylates Using Artificial Neuronal NetworksJulian Kimmig, Timo Schuett, Antje Vollrath, et al.
Polymers|February 15, 2022
Improvement of High-Throughput Experimentation Using Synthesis Robots by the Implementation of Tailor-Made SensorsTimo Schuett, Manuel Wejner, Julian Kimmig, et al.
Chemistry (Weinheim an Der Bergstrasse, Germany)|March 9, 2023
Oxymethylene Ether (OME) Fuel Catalyst Screening Using In Situ NMR SpectroscopyPatrick Endres, Timo Schuett, Julian Kimmig, et al.
Macromolecular Rapid Communications|January 6, 2026
Structure-Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical EnsemblesJulian Kimmig, Yannik Köster, Timo Koswig, et al.
Small (Weinheim an Der Bergstrasse, Germany)|October 5, 2023
Optimization of Mixed Micelles Based on Oppositely Charged Block Copolymers by Machine Learning for Application in Gene DeliveryKatharina Leer, Liên S Reichel, Julian Kimmig, et al.
Carbohydrate Polymers|March 14, 2026
Predicting acetalated dextran nanoparticle features: Controlled synthesis, formulation, and testing in a high-throughput processThorben Köhler, Sreekanth Kunchapu, Antje Vollrath, et al.
Pageof 1