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Theoretical and Computational Chemistry

Working Paper

Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force Fields

James McDonagh, Ardita Shkurti, David J. Bray, Richard L. Anderson, Edward O. Pyzer-Knapp

Version 1 posted 17 July 2019

1,624

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Theoretical and Computational Chemistry

Working Paper

The Relationship Between Wormlike Micelle Scission Free Energy and Micellar Composition: The Case of Sodium Laurylethersulphate and Cocamidopropyl Betaine

Charlie Wand, Maria Panoukidou, Annalaura Del Regno, Richard L. Anderson, Paola Carbone

Version 1 posted 28 January 2020

958

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Materials Science

Working Paper

A Model for the Simulation of the CnEm Nonionic Surfactant Family Derived from Recent Experimental Results

Michael Johnston, Andrew Duff, Richard L. Anderson, William Swope

Version 1 posted 09 July 2020

343

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Theoretical and Computational Chemistry

Working Paper

What Can Digitization Do For Formulated Product Innovation and Development

James McDonagh, William Swope, Richard L. Anderson, Michael Johnston, David J. Bray

Version 2 posted 03 February 2020

995

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Inorganic Chemistry

Working Paper

Elucidating Nonradiative Decay in Deep Near-Infrared Lumiphores: Leveraging New Design Principles to Develop a Telecom Band Organic Dye Laser

Lauren McNamara, Christopher Melnychuk, Jan-Niklas Boyn, Sophie Anferov, David Mazziotti, Richard Schaller, John Anderson

Version 1 posted 12 February 2024

291

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Theoretical and Computational Chemistry

Working Paper

Can machine learning predict the phase behavior of surfactants?

Joseph Thacker, David Bray, Patrick Warren, Richard Anderson

Version 2 posted 20 February 2023

669

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Chemical Engineering and Industrial Chemistry

Working Paper

Detecting Solution Phase Behavior in Particle Simulations

James McDonagh, William Swope, David Bray, Richard Anderson, Michael Johnston

Version 1 posted 28 February 2023

446

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Theoretical and Computational Chemistry

Working Paper

Phase Behaviour of Alkyl Ethoxylate Surfactants in a Dissipative Particle Dynamics Model

Richard Anderson, David Gunn, Tseden Taddese, Ennio Lavagnini, Patrick Warren, David Bray

Version 1 posted 20 December 2022

194

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Physical Chemistry

Working Paper

Modelling contact angles with chemically specific dissipative particle dynamics

Guadalupe Jimenez-Serratos, Patrick Warren, Scott Singleton, David Bray, Richard Anderson

Version 1 posted 17 October 2024

111

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Theoretical and Computational Chemistry

Working Paper

Simulating micelle self-assembly to assess potential for viscosity build in surfactant formulations

Ennio Lavagnini, Jonathan Booth, Katy Helm, Ferdaous El-Benni, Patrick Warren, David Bray, Richard Anderson

Version 1 posted 21 November 2023

156

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Refine Search

11 results in Richard Anderson in Authors: Richard Anderson

Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force Fields

The Relationship Between Wormlike Micelle Scission Free Energy and Micellar Composition: The Case of Sodium Laurylethersulphate and Cocamidopropyl Betaine

A Model for the Simulation of the CnEm Nonionic Surfactant Family Derived from Recent Experimental Results

What Can Digitization Do For Formulated Product Innovation and Development

Elucidating Nonradiative Decay in Deep Near-Infrared Lumiphores: Leveraging New Design Principles to Develop a Telecom Band Organic Dye Laser

Can machine learning predict the phase behavior of surfactants?

Detecting Solution Phase Behavior in Particle Simulations

Phase Behaviour of Alkyl Ethoxylate Surfactants in a Dissipative Particle Dynamics Model

Modelling contact angles with chemically specific dissipative particle dynamics

Simulating micelle self-assembly to assess potential for viscosity build in surfactant formulations

11 results in Authors: Richard Anderson