Search Results - "Parker, Amanda J" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Molecular Mechanisms of Plastic Deformation in Sphere-Forming Thermoplastic Elastomers

Molecular Mechanisms of Plastic Deformation in Sphere-Forming Thermoplastic Elastomers

by Parker, Amanda J, Rottler, Jörg
Published in Macromolecules (24.11.2015)

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Journal Article

Nonlinear Mechanics of Triblock Copolymer Elastomers: From Molecular Simulations to Network Models

Nonlinear Mechanics of Triblock Copolymer Elastomers: From Molecular Simulations to Network Models

by Parker, Amanda J, Rottler, Jörg
Published in ACS macro letters (15.08.2017)

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Journal Article

Graph representation of multi-dimensional materials

Graph representation of multi-dimensional materials

by Cai, Carina T, Parker, Amanda J, Barnard, Amanda S
Published in JPhys materials (01.04.2024)

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Online meta-learned gradient norms for active learning in science and technology

Online meta-learned gradient norms for active learning in science and technology

by Dong, Haiqi, Barnard, Amanda S, Parker, Amanda J
Published in Machine learning: science and technology (01.03.2024)

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Journal Article

Using Soft Potentials for the Simulation of Block Copolymer Morphologies

Using Soft Potentials for the Simulation of Block Copolymer Morphologies

by Parker, Amanda J., Rottler, Jörg
Published in Macromolecular theory and simulations (01.07.2014)

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Journal Article

The pure and representative types of disordered platinum nanoparticles from machine learning

The pure and representative types of disordered platinum nanoparticles from machine learning

by Parker, Amanda J, Motevalli, Benyamin, Opletal, George, Barnard, Amanda S
Published in Nanotechnology (26.02.2021)

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Journal Article

Entropic Network Model for Star Block Copolymer Thermoplastic Elastomers

Entropic Network Model for Star Block Copolymer Thermoplastic Elastomers

by Parker, Amanda J, Rottler, Jörg
Published in Macromolecules (11.12.2018)

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Journal Article

Accurate prediction of binding energies for two‐dimensional catalytic materials using machine learning

Accurate prediction of binding energies for two‐dimensional catalytic materials using machine learning

by Melisande Fischer, Julia, Hunter, Michelle, Hankel, Marlies, Searles, Debra J., Parker, Amanda J., Barnard, Amanda S.
Published in ChemCatChem (20.10.2020)

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Journal Article

The representative structure of graphene oxide nanoflakes from machine learning

The representative structure of graphene oxide nanoflakes from machine learning

by Motevalli, Benyamin, Parker, Amanda J, Sun, Baichuan, Barnard, Amanda S
Published in Nano futures (17.12.2019)

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Journal Article

Machine learning reveals multiple classes of diamond nanoparticles

Machine learning reveals multiple classes of diamond nanoparticles

by Parker, Amanda J, Barnard, Amanda S
Published in Nanoscale horizons (01.10.2020)

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Journal Article

Unsupervised structure classes vs. supervised property classes of silicon quantum dots using neural networks

Unsupervised structure classes vs. supervised property classes of silicon quantum dots using neural networks

by Parker, Amanda J, Barnard, Amanda S
Published in Nanoscale horizons (01.03.2021)

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Journal Article

Interfacial informatics

Interfacial informatics

by Fischer, Julia M, Parker, Amanda J, Barnard, Amanda S
Published in JPhys materials (01.10.2021)

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Water soluble, biodegradable amphiphilic polymeric nanoparticles and the molecular environment of hydrophobic encapsulates: Consistency between simulation and experiment

Water soluble, biodegradable amphiphilic polymeric nanoparticles and the molecular environment of hydrophobic encapsulates: Consistency between simulation and experiment

by Miller, Robert D., Yusoff, Rosmadi M., Swope, William C., Rice, Julia E., Carr, Amber C., Parker, Amanda J., Sly, Joseph, Appel, Eric A., Nguyen, Timothy, Piunova, Victoria
Published in Polymer (Guilford) (19.11.2015)

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Journal Article

Molecular Dynamics Simulations of Star Polymeric Molecules with Diblock Arms, a Comparative Study

Molecular Dynamics Simulations of Star Polymeric Molecules with Diblock Arms, a Comparative Study

by Swope, William C, Carr, Amber C, Parker, Amanda J, Sly, Joseph, Miller, Robert D, Rice, Julia E
Published in Journal of chemical theory and computation (09.10.2012)

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Journal Article

Data-Driven Design of Classes of Ruthenium Nanoparticles Using Multitarget Bayesian Inference

Data-Driven Design of Classes of Ruthenium Nanoparticles Using Multitarget Bayesian Inference

by Ting, Jonathan Y. C., Parker, Amanda J., Barnard, Amanda S.
Published in Chemistry of materials (24.01.2023)

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Journal Article

Selecting Appropriate Clustering Methods for Materials Science Applications of Machine Learning

Selecting Appropriate Clustering Methods for Materials Science Applications of Machine Learning

by Parker, Amanda J., Barnard, Amanda S.
Published in Advanced theory and simulations (01.12.2019)

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Journal Article

Materials Selection: Selecting Appropriate Clustering Methods for Materials Science Applications of Machine Learning (Adv. Theory Simul. 12/2019)

Materials Selection: Selecting Appropriate Clustering Methods for Materials Science Applications of Machine Learning (Adv. Theory Simul. 12/2019)

by Parker, Amanda J., Barnard, Amanda S.
Published in Advanced theory and simulations (01.12.2019)

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Journal Article

Unsupervised structure classes supervised property classes of silicon quantum dots using neural networks

Unsupervised structure classes supervised property classes of silicon quantum dots using neural networks

by Parker, Amanda J, Barnard, Amanda S
Published in Nanoscale horizons (08.03.2021)

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Journal Article

Nonlinear mechanics of triblock copolymer elastomers: from molecular simulations to network models

Nonlinear mechanics of triblock copolymer elastomers: from molecular simulations to network models

by Parker, Amanda J, Rottler, Joerg
Published in arXiv.org (14.07.2018)

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