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Adsorption characteristics of AQSOA zeolites and water for adsorption chillers

International journal of heat and mass transfer, 2016-01, Vol.92, p.1120-1127

2016

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An adsorption isotherm equation for multi-types adsorption with thermodynamic correctness

Applied thermal engineering, 2014-11, Vol.72 (2), p.190-199

2014

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Thermodynamic formalism of water uptakes on solid porous adsorbents for adsorption cooling applications

Applied physics letters, 2014-05, Vol.104 (20)

2014

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Thermodynamic frameworks of adsorption kinetics modeling: Dynamic water uptakes on silica gel for adsorption cooling applications

Energy (Oxford), 2015-05, Vol.84, p.296-302

2015

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Machine Learning for Silver Nanoparticle Electron Transfer Property Prediction

Journal of chemical information and modeling, 2017-10, Vol.57 (10), p.2413-2423

2017

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3D printed porous ceramic scaffolds for bone tissue engineering: a review

Biomaterials science, 2017-08, Vol.5 (9), p.169-1698

2017

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Detection and extraction of heavy metal ions using paper-based analytical devices fabricated via atom stamp printing

Microsystems & nanoengineering, 2020-03, Vol.6 (1), p.14-14, Article 14

2020

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A hybrid electrically-and-piezoelectrically driven micromixer built on paper for microfluids mixing

Biomedical microdevices, 2020-09, Vol.22 (3), p.47-47, Article 47

2020

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Study of metal-organic framework MIL-101(Cr) for natural gas (methane) storage and compare with other MOFs (metal-organic frameworks)

Energy (Oxford), 2015-11, Vol.91, p.772-781

2015

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Statistics, damned statistics and nanoscience - using data science to meet the challenge of nanomaterial complexity

Nanoscale horizons, 2016-01, Vol.1 (2), p.89-95

2016

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Native tissue-based strategies for meniscus repair and regeneration

Cell and tissue research, 2018-08, Vol.373 (2), p.337-350

2018

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Understanding and Predicting the Cause of Defects in Graphene Oxide Nanostructures Using Machine Learning

Journal of physical chemistry. C, 2020-04, Vol.124 (13), p.7404-7413

2020

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Versatile Microfluidic Mixing Platform for High- and Low-Viscosity Liquids via Acoustic and Chemical Microbubbles

Micromachines (Basel), 2019-12, Vol.10 (12), p.854

2019

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The impact of size and shape distributions on the electron charge transfer properties of silver nanoparticlesElectronic supplementary information (ESI) available. See DOI: 10.1039/C7NR03472E

2017-08

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Predicting archetypal nanoparticle shapes using a combination of thermodynamic theory and machine learningElectronic supplementary information (ESI) available: Tables and details of archetypes and prototypes identified using theoretical datasets and machine learning, for Pt nanoparticles from 3 nm to 30 nm at room temperature; and from 3 nm to 15 nm at 100 °C. See DOI: 10.1039/C8NR07341D

2018-11

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The impact of size and shape distributions on the electron charge transfer properties of silver nanoparticles

Nanoscale, 2017-09, Vol.9 (34), p.12698-12708

2017

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Impact of speciation on the electron charge transfer properties of nanodiamond drug carriersElectronic supplementary information (ESI) available. See DOI: 10.1039/c6nr03068h

2016-07

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Predicting archetypal nanoparticle shapes using a combination of thermodynamic theory and machine learning

Nanoscale, 2018-11, Vol.10 (46), p.21818-21826

2018

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Fast response infrared detector using a radially distributed dual-layer thermopile

IEEE sensors journal, 2024-01, Vol.24 (2), p.1-1

2024

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A strain-resistant flexible thermistor sensor array based on CNT/MXene hybrid materials for lithium-ion battery and human temperature monitoring

Sensors and actuators. A. Physical., 2024-04, Vol.368, p.115059, Article 115059

2024

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From Process to Properties: Correlating Synthesis Conditions and Structural Disorder of Platinum Nanocatalysts

Journal of physical chemistry. C, 2018-12, Vol.122 (49), p.28085-28093

2018

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An integrated platform for fibrinogen quantification on a microfluidic paper-based analytical device

Lab on a chip, 2020-08, Vol.2 (15), p.2724-2734

2020

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Impact of speciation on the electron charge transfer properties of nanodiamond drug carriers

Nanoscale, 2016-08, Vol.8 (29), p.14264-14270

2016

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Correlating anisotropy and disorder with the surface structure of platinum nanoparticles

Nanoscale, 2018-11, Vol.10 (43), p.20393-20404

2018

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Visualising multi-dimensional structure/property relationships with machine learning

JPhys materials, 2019-07, Vol.2 (3), p.34003

2019

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Adsorption characteristics of AQSOA zeolites and water for adsorption chillers

An adsorption isotherm equation for multi-types adsorption with thermodynamic correctness

Thermodynamic formalism of water uptakes on solid porous adsorbents for adsorption cooling applications

Thermodynamic frameworks of adsorption kinetics modeling: Dynamic water uptakes on silica gel for adsorption cooling applications

Machine Learning for Silver Nanoparticle Electron Transfer Property Prediction

3D printed porous ceramic scaffolds for bone tissue engineering: a review

Detection and extraction of heavy metal ions using paper-based analytical devices fabricated via atom stamp printing

A hybrid electrically-and-piezoelectrically driven micromixer built on paper for microfluids mixing

Study of metal-organic framework MIL-101(Cr) for natural gas (methane) storage and compare with other MOFs (metal-organic frameworks)

Statistics, damned statistics and nanoscience - using data science to meet the challenge of nanomaterial complexity

Native tissue-based strategies for meniscus repair and regeneration

Understanding and Predicting the Cause of Defects in Graphene Oxide Nanostructures Using Machine Learning

Versatile Microfluidic Mixing Platform for High- and Low-Viscosity Liquids via Acoustic and Chemical Microbubbles

The impact of size and shape distributions on the electron charge transfer properties of silver nanoparticlesElectronic supplementary information (ESI) available. See DOI: 10.1039/C7NR03472E

The impact of size and shape distributions on the electron charge transfer properties of silver nanoparticles

Impact of speciation on the electron charge transfer properties of nanodiamond drug carriersElectronic supplementary information (ESI) available. See DOI: 10.1039/c6nr03068h

Predicting archetypal nanoparticle shapes using a combination of thermodynamic theory and machine learning

Fast response infrared detector using a radially distributed dual-layer thermopile

A strain-resistant flexible thermistor sensor array based on CNT/MXene hybrid materials for lithium-ion battery and human temperature monitoring

From Process to Properties: Correlating Synthesis Conditions and Structural Disorder of Platinum Nanocatalysts

An integrated platform for fibrinogen quantification on a microfluidic paper-based analytical device

Impact of speciation on the electron charge transfer properties of nanodiamond drug carriers

Correlating anisotropy and disorder with the surface structure of platinum nanoparticles

Visualising multi-dimensional structure/property relationships with machine learning

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