An Iterative Machine Learning Approach for Discovering Unexpected Thermal Conductivity Enhancement in Aperiodic Superlattices

Learning Approach ◽

An Iterative Machine Learning Approach for Discovering Unexpected Thermal Conductivity Enhancement in Aperiodic Superlattices

10.1115/1.0004973v ◽

2021 ◽

Author(s):

Prabudhya Roy Chowdhury ◽

Xiulin Ruan

Keyword(s):

Machine Learning ◽

Thermal Conductivity ◽

Learning Approach ◽

A machine learning approach to thermal conductivity modeling: A case study on irradiated uranium-molybdenum nuclear fuels

Computational Materials Science ◽

10.1016/j.commatsci.2019.01.044 ◽

2019 ◽

Vol 161 ◽

pp. 107-118 ◽

Cited By ~ 4

Author(s):

Elizabeth J. Kautz ◽

Alexander R. Hagen ◽

Jesse M. Johns ◽

Douglas E. Burkes

Keyword(s):

Machine Learning ◽

Thermal Conductivity ◽

Learning Approach ◽

Nuclear Fuels ◽

Machine Learning Approach ◽

Conductivity Modeling

Thermal conductivity prediction of nano enhanced phase change materials: A comparative machine learning approach

Journal of Energy Storage ◽

10.1016/j.est.2021.103633 ◽

2021 ◽

pp. 103633

Author(s):

Farzad Jaliliantabar

Keyword(s):

Machine Learning ◽

Thermal Conductivity ◽

Phase Change ◽

Phase Change Materials ◽

Learning Approach ◽

A supervised machine learning approach for accelerating the design of particulate composites: Application to thermal conductivity

Computational Materials Science ◽

10.1016/j.commatsci.2021.110664 ◽

2021 ◽

Vol 197 ◽

pp. 110664

Author(s):

Mohammad Saber Hashemi ◽

Masoud Safdari ◽

Azadeh Sheidaei

Keyword(s):

Machine Learning ◽

Thermal Conductivity ◽

Supervised Machine Learning ◽

Particulate Composites ◽

Learning Approach ◽

Constructing and Validating Geographically Refined HAZUS-MH4 Hurricane Wind Risk Models: A Machine Learning Approach

Advances in Hurricane Engineering ◽

10.1061/9780784412626.092 ◽

2012 ◽

Cited By ~ 2

Author(s):

D. Subramanian ◽

J. Salazar ◽

L. Duenas-Osorio ◽

R. Stein

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Risk Models ◽

Hurricane Wind ◽

The impact of economic plans on the Chinese education system: a machine learning approach

CADMO ◽

10.3280/cad2018-001005 ◽

2018 ◽

pp. 37-49

Author(s):

Wenjun Lin ◽

Xuefu Xu ◽

Francesco Dell’Anna

Keyword(s):

Machine Learning ◽

Education System ◽

Learning Approach ◽

Chinese Education ◽

System A ◽

Machine Learning Approach ◽

The Impact

Improving Bandwidth Utilization and Fairness between TCP Flows based on a Machine-learning Approach

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.133.1259 ◽

2013 ◽

Vol 133 (6) ◽

pp. 1259-1268

Author(s):

Akihiro Shiozu ◽

Syunji Yazaki ◽

K^|^ocirc;ki Abe

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Bandwidth Utilization ◽

A Machine Learning Approach to Anaphora Resolution in Arabic

International Review on Computers and Software (IRECOS) ◽

10.15866/irecos.v9i12.4786 ◽

2014 ◽

Vol 9 (12) ◽

pp. 1956

Author(s):

Abdullatif Abolohom ◽

Nazlia Omar

Keyword(s):

Machine Learning ◽

Learning Approach ◽

Anaphora Resolution ◽

THERMAL CONDUCTIVITY ENHANCEMENT OF MATERIAL FOR CALCIUM CHLORIDE/WATER THERMOCHEMICAL ENERGY STORAGE

10.1615/ihtc16.nee.023351 ◽

2018 ◽

Author(s):

Takuma Ohtaki ◽

Maho Mitsuo ◽

Takayuki Terauchi ◽

Hiroshi Iguchi ◽

Keiko Fujioka ◽

...

Keyword(s):

Thermal Conductivity ◽

Energy Storage ◽

Calcium Chloride ◽

Chloride Water

EXPERIMENTAL STUDY OF THE IN-PLANE THERMAL CONDUCTIVITY ENHANCEMENT OF SUSPENDED GLASS THIN FILMS DUE TO LONG RANGE SURFACE PHONON-POLARITONS

10.1615/ihtc16.cip.023810 ◽

2018 ◽

Author(s):

Laurent Tranchant ◽

S. Hamamura ◽

Jose Ordonez-Miranda ◽

Sebastian Volz ◽

Koji Miyazaki

Keyword(s):

Thin Films ◽

Thermal Conductivity ◽

Experimental Study ◽

Long Range ◽

Surface Phonon ◽

Surface Phonon Polaritons ◽

Phonon Polaritons