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Chemical Engineering and Industrial Chemistry

A systematic and general machine learning approach to build a consistent data set from different experiments

Matheus Máximo-Canadas, Julio Cesar Duarte, Jakler Nichele, Leonardo Alves, Luiz Octavio Pereira, Rogerio Ramos, Itamar Borges

Version 1 posted 10 July 2024

111

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Materials Science

Working Paper

Challenges reconciling theory and experiments in the prediction of lattice thermal conductivity: the case of Cu-based sulvanites

Irene Caro, Marta María González-Barrios, Óscar J. Dura, Erik Fransson, Jose J. Plata, David Ávila-Brande, Javier Fdez. Sanz, Jesús Prado-Gonjal, Antonio Márquez

Version 1 posted 08 May 2024

158

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Physical Chemistry

Working Paper

Approximate Models for the Lattice Thermal Conductivity of Alloy Thermoelectrics

Jonathan Skelton

Version 2 posted 03 June 2021

442

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Materials Science

Working Paper

Machine learning predictions of low thermal conductivity: comparing TaVO5 and GdTaO4

Travis Allen, Jake Graser, Ramsey Issa, Taylor Sparks

Version 1 posted 15 March 2023

272

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1

Citations

Materials Science

Working Paper

Highly Mixed ZrO2/SiO2 Hybrid Aerogel Deriving from Freely Tangled Weakly Branched Primary Clusters Enables Improved Thermal Stability and Excellent Thermal Insulating Performance.

Benxue Liu, Min Gao

Version 1 posted 30 July 2019

696

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Inorganic Chemistry

Working Paper

Chemical Trends in the Lattice Thermal Conductivity of Li(Ni,Mn,Co)O₂ (NMC) Battery Cathodes

Hui YANG, Christopher Savory, Benjamin Morgan, David Scanlon, Jonathan Skelton, Aron Walsh

Version 1 posted 19 May 2020

986

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1

Citations

Polymer Science

Working Paper

Explore High Thermal Conductivity Amorphous Polymers using Reinforcement Learning

RUIMIN MA, Hanfeng Zhang, Tengfei Luo

Version 2 posted 15 December 2021

548

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Theoretical and Computational Chemistry

Working Paper

Impact of Noble-Gas Filler Atoms on the Lattice Thermal Conductivity of CoSb3 Skutterudites: First-Principles Modelling

Jianqin Tang, Jonathan Skelton

Version 2 posted 22 December 2020

656

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Nanoscience

Working Paper

Synthesis and Characterization of Novel Ternary Hybrid Nanoparticles as Thermal Additives in H2O

Mohammed Zayan, Abdul Khaliq Rasheed, Akbar John, Shalini Muniandi, leo bay fen, Ahmad Faris

Version 1 posted 04 February 2021

847

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1

Citations

Physical Chemistry

Working Paper

Specificity of thermal stability and reactivity of two-dimensional layered Cu-Fe sulfide - Mg-based hydroxide compounds (valleriites)

Maxim Likhatski, Roman Borisov, Olga Fetisova, Anastasia Ivaneeva, Denis Karpov, Evgeny Tomashevich, Anton Karacharov, Sergey Vorobyev, Elena Mazurova, Yuri Mikhlin

Version 1 posted 30 May 2023

157

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1

Citations

Refine Search

14 results in thermal conductivity in Keywords: thermal conductivity

A systematic and general machine learning approach to build a consistent data set from different experiments

Challenges reconciling theory and experiments in the prediction of lattice thermal conductivity: the case of Cu-based sulvanites

Approximate Models for the Lattice Thermal Conductivity of Alloy Thermoelectrics

Machine learning predictions of low thermal conductivity: comparing TaVO5 and GdTaO4

Highly Mixed ZrO2/SiO2 Hybrid Aerogel Deriving from Freely Tangled Weakly Branched Primary Clusters Enables Improved Thermal Stability and Excellent Thermal Insulating Performance.

Chemical Trends in the Lattice Thermal Conductivity of Li(Ni,Mn,Co)O2 (NMC) Battery Cathodes

Explore High Thermal Conductivity Amorphous Polymers using Reinforcement Learning

Impact of Noble-Gas Filler Atoms on the Lattice Thermal Conductivity of CoSb3 Skutterudites: First-Principles Modelling

Synthesis and Characterization of Novel Ternary Hybrid Nanoparticles as Thermal Additives in H2O

Specificity of thermal stability and reactivity of two-dimensional layered Cu-Fe sulfide - Mg-based hydroxide compounds (valleriites)

14 results in Keywords: thermal conductivity

Chemical Trends in the Lattice Thermal Conductivity of Li(Ni,Mn,Co)O₂ (NMC) Battery Cathodes