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Prediction of ferroelectricity in BaTiO3/SrTiO3 superlattices with domains File

Li, Y. L , Hu, S. Y. , Tenne, D. , Soukiassian, A. , Schlom, D. G. , Xi, X. X. , Choi, Kyoung Jin , Eom, C. B. , Saxena, A. , Lookman, T.

Article Issue Date2007-09 View5

Prediction of ferroelectricity-driven Berry curvature enabling charge- and spin-controllable photocurrent in tin telluride monolayers File File

Kim, Jeongwoo , Kim, Kyoung-Whan , Shin, Dongbin , Lee, Sang-Hoon , Sinova, Jairo , Park, Noejung , Jin, Hosub

Article Issue Date2019-09 View5

Prediction of Fluid-Solid Phase Transition for Hard-Spheres via Free Volume Approach

Hwang, DeHyun , Kwak, Sang Kyu

Conference Paper Issue Date2013-10-23 View1

Prediction of fuel cladding performance of oxide thickness by single channel fuel performance codes

Kim, Ji-Hyun

Conference Paper Issue Date2012-05-16 View1

Prediction of Graphene Hydrogenation Assisted by Birch Reductionand Hot Electron

Lee, Tae Kyung , Kwak, Sang Kyu

Conference Paper Issue Date2018-10-26 View4

Prediction of hardness and deformation in laser hardening of AISI H13 tool steel

Oh, Sehyeok , Ki, Hyungson

Conference Paper Issue Date2016-10-20 View7

Prediction of hardness and deformation using a 3-D thermal analysis in laser hardening of AISI H13 tool steel File

Oh, Sehyeok , Ki, Hyungson

Article Issue Date2017-07 View5

Prediction of Hardness and Phase Distributions in Laser Heat Treatment of AH36 Steel Using Deep Learning

Son, Myeonghyun , Ki, Hyungson

Conference Paper Issue Date2023-10-18 View4

Prediction of Hypertension Complications Risk Using Classification Techniques File

Lee, Wonji , Lee, Junghye , Lee, Hyeseon , Jun, Chi-Hyuck , Park. Il-Su , Kagn, Sung-Hong

Article Issue Date2014-12 View4

Prediction of Individual Perceived Fatigue Using Physiological Signals Measured by a Wearable Sensor

김종수 , 박종우 , 김성필

Conference Paper Issue Date2017-12-01 View3

Prediction of Lap Shear Strength and Impact Peel Strength of Epoxy Adhesive by Machine Learning Approach File File

Kang, Haisu , Lee, Ji Hee , Choe, Youngson , Lee, Seung Geol

Article Issue Date2021-04 View4

Prediction of Major Regio‐, Site‐, and Diastereoisomers in Diels–Alder Reactions by Using Machine‐Learning: The Importance of Physically Meaningful Descriptors File

Beker, Wiktor , Gajewska, Ewa P. , Badowski, Tomasz , Grzybowski, Bartosz A.

Article Issue Date2019-03 View5

Prediction of Mechanical Behaviors and Fracture Propagation of Recycled Composites using Deep Learning

Shim, Yoon-Bo , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-06-22 View4

Prediction of mechanical properties and behavior of continuous and discontinuous fiber-reinforced composites

Joung, Chanwoo

Thesis Issue Date2024-02 View5

Prediction of Mechanical Properties of Recycled Composites using Deep Learning

Shim, Yoon-Bo , Lee, In Yong , Park, Young-Bin

Conference Paper Issue Date2023-04-19 View4

Prediction of Mechanical properties of wrinkled and defective graphene via molecular mechanics study

Kwak, Sang Kyu , 김슬기 , 박성오

Conference Paper Issue Date2014-10-24 View3

Prediction of mechanical property of Ni-Al nanopowder via coarse-grained simulation

Jeon, Woo Cheol , Jung, Gwan Yeong , Jung, Sang-Hyun , Kwak, Sang Kyu

Conference Paper Issue Date2016-10-21 View6

Prediction of Monthly Arctic Sea Ice Concentration

Kim, Young Joon , Han, Daehyun , Lee, Sanggyun , Im, Jungho

Conference Paper Issue Date2018-05-10 View2

Prediction of Monthly Arctic Sea Ice Concentration using Deep Learning

Kim, Youngjoon , Han, Daehyun , Lee, Sanggyun , Im, Jungho

Conference Paper Issue Date2018-11-05 View4

Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks File File

Kim, Young Jun , Kim, Hyun-Cheol , Han, Daehyeon , Lee, Sanggyun , Im, Jungho

Article Issue Date2020-03 View1

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