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Thermal transport size effects in silicon membranes featuring nanopillars as local resonators

Applied physics letters, 2016-06, Vol.108 (26)

2016

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Physics of surface vibrational resonances: pillared phononic crystals, metamaterials, and metasurfaces

Reports on progress in physics, 2021-08, Vol.84 (8), p.86502

2021

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Knowledge, attitudes, risk perceptions, and practices of adults toward COVID-19: a population and field-based study from Iran

International journal of public health, 2020-07, Vol.65 (6), p.731-739

2020

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Thermal Conductivity Reduction in a Nanophononic Metamaterial versus a Nanophononic Crystal: A Review and Comparative Analysis

Advanced functional materials, 2020-02, Vol.30 (8), p.n/a

2020

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Two orders of magnitude reduction in silicon membrane thermal conductivity by resonance hybridizations

Physical review. B, 2018-05, Vol.97 (19), Article 195413

2018

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Spectral energy analysis of locally resonant nanophononic metamaterials by molecular simulations

Physical review. B, 2016-02, Vol.93 (8), Article 081412

2016

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Knowledge and Practice of People toward their Rights in Urban Family Physician Program: A Population-Based Study in Shiraz, Southern Iran

International journal of preventive medicine, 2015, Vol.6 (1), p.46-46

2015

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Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation

Cardiovascular digital health journal, 2022-10, Vol.3 (5), p.220-231

2022

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Electronic health record (EHR)-based machine learning (ML) to predict disease recurrence after surgical resection of early-stage non-small cell lung cancer (eNSCLC)

Journal of clinical oncology, 2023-06, Vol.41 (16_suppl), p.6626-6626

2023

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Electronic health record (EHR) and genomics-based machine learning (ML) to predict therapeutic effectiveness among patients with hormone-receptor positive (HR)+/HER2- advanced breast cancer (aBC)

Journal of clinical oncology, 2023-06, Vol.41 (16_suppl), p.e13574-e13574

2023

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Assessment of electronic health record (EHR) –based machine learning (ML) in predicting risk of brain metastasis among patients with early-stage non–small-cell lung cancer (eNSCLC)

Journal of clinical oncology, 2023-06, Vol.41 (16_suppl), p.2036-2036

2023

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Nanophononics: Thermal Conductivity Reduction in a Nanophononic Metamaterial versus a Nanophononic Crystal: A Review and Comparative Analysis (Adv. Funct. Mater. 8/2020)

Advanced functional materials, 2020-02, Vol.30 (8), p.n/a

2020

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Thermal Conductivity Reduction in a Nanophononic Metamaterial versus a Nanophononic Crystal: A Review and Comparative Analysis

Advanced functional materials, 2019-11, Vol.30 (8)

2019

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Failure analysis of a gate valve bonnet at wellhead facilities in sour gas service

Engineering failure analysis, 2020-01, Vol.108, p.104250, Article 104250

2020

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Abstract 4400: Machine learning (ML) on real-world data (RWD) of front-line (1L) metastatic castration resistance prostate cancer (mCRPC) patients for dynamic prediction of time to tx discontinuation (TTD)

Cancer research (Chicago, Ill.), 2023-04, Vol.83 (7_Supplement), p.4400-4400

2023

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Semiconductor Thermal and Electrical Properties Decoupled by Localized Phonon Resonances (Adv. Mater. 26/2023)

Advanced materials (Weinheim), 2023-06, Vol.35 (26), p.n/a

2023

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Semiconductor Thermal and Electrical Properties Decoupled by Localized Phonon Resonances

Advanced materials (Weinheim), 2023-06, Vol.35 (26), p.e2209779-n/a

2023

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Attitudes Toward and Experience of Singles with Premarital Sex: A Population-Based Study in Shiraz, Southern Iran

Archives of sexual behavior, 2016-02, Vol.45 (2), p.395-402

2016

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Directional thermal channeling: A phenomenon triggered by tight packing of heat sources

Proceedings of the National Academy of Sciences - PNAS, 2021-10, Vol.118 (40), p.1-6

2021

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Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records

Data intelligence, 2021-09, Vol.3 (3), p.329-339

2021

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Numerical Analysis of Steel-Concrete Composite Beam with Blind Bolt under Simultaneous Flexural and Torsional Loading

Civil engineering infrastructures journal, 2020-12, Vol.53 (2), p.379-393

2020

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Contrastive learning improves critical event prediction in COVID-19 patients

Patterns (New York, N.Y.), 2021-12, Vol.2 (12), p.100389-100389, Article 100389

2021

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Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening

European heart journal. Digital health, 2022-03, Vol.3 (1), p.56-66

2022

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Phonon Transport in Nanophononic Metamaterials using Large-scale Atomistic Models

Honarvar, Hossein

2018

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Resonant Thermal Transport in Nanophononic Metamaterials

Handbook of Materials Modeling, 2020, p.953-973

2020

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Thermal transport size effects in silicon membranes featuring nanopillars as local resonators

Physics of surface vibrational resonances: pillared phononic crystals, metamaterials, and metasurfaces

Knowledge, attitudes, risk perceptions, and practices of adults toward COVID-19: a population and field-based study from Iran

Thermal Conductivity Reduction in a Nanophononic Metamaterial versus a Nanophononic Crystal: A Review and Comparative Analysis

Two orders of magnitude reduction in silicon membrane thermal conductivity by resonance hybridizations

Spectral energy analysis of locally resonant nanophononic metamaterials by molecular simulations

Knowledge and Practice of People toward their Rights in Urban Family Physician Program: A Population-Based Study in Shiraz, Southern Iran

Enhancing convolutional neural network predictions of electrocardiograms with left ventricular dysfunction using a novel sub-waveform representation

Electronic health record (EHR)-based machine learning (ML) to predict disease recurrence after surgical resection of early-stage non-small cell lung cancer (eNSCLC)

Electronic health record (EHR) and genomics-based machine learning (ML) to predict therapeutic effectiveness among patients with hormone-receptor positive (HR)+/HER2- advanced breast cancer (aBC)

Assessment of electronic health record (EHR) –based machine learning (ML) in predicting risk of brain metastasis among patients with early-stage non–small-cell lung cancer (eNSCLC)

Nanophononics: Thermal Conductivity Reduction in a Nanophononic Metamaterial versus a Nanophononic Crystal: A Review and Comparative Analysis (Adv. Funct. Mater. 8/2020)

Thermal Conductivity Reduction in a Nanophononic Metamaterial versus a Nanophononic Crystal: A Review and Comparative Analysis

Failure analysis of a gate valve bonnet at wellhead facilities in sour gas service

Abstract 4400: Machine learning (ML) on real-world data (RWD) of front-line (1L) metastatic castration resistance prostate cancer (mCRPC) patients for dynamic prediction of time to tx discontinuation (TTD)

Semiconductor Thermal and Electrical Properties Decoupled by Localized Phonon Resonances (Adv. Mater. 26/2023)

Semiconductor Thermal and Electrical Properties Decoupled by Localized Phonon Resonances

Attitudes Toward and Experience of Singles with Premarital Sex: A Population-Based Study in Shiraz, Southern Iran

Directional thermal channeling: A phenomenon triggered by tight packing of heat sources

Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records

Numerical Analysis of Steel-Concrete Composite Beam with Blind Bolt under Simultaneous Flexural and Torsional Loading

Contrastive learning improves critical event prediction in COVID-19 patients

Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening

Phonon Transport in Nanophononic Metamaterials using Large-scale Atomistic Models

Resonant Thermal Transport in Nanophononic Metamaterials

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