Machine learning assisted calibration of PVT simulations for SiC crystal growth

被引：0
|
作者：
Taucher, Lorenz [1 ]
Ramadan, Zaher [1 ]
Hammer, Rene [2 ]
Obermuller, Thomas [2 ]
Auer, Peter [3 ]
Romaner, Lorenz [1 ]
机构：
[1] Christian Doppler Laboratory of Advanced Computational Design of Crystal Growth, Department of Materials Science, Montanuniversität Leoben, Leoben,8700, Austria
[2] EEMCO GmbH, Ebner-Platz 1, Leonding,4060, Austria
[3] Chair for Information Technology, Montanuniversität Leoben, Leoben,8700, Austria
来源：
CrystEngComm | 2024年 / 26卷 / 44期
关键词：
D O I：
10.1039/d4ce00866a
中图分类号：
学科分类号：
摘要：
59
引用
下载
收藏
页码：6322 / 6335
相关论文
共 50 条
  • [31] Improvement of the thermal design in the SiC PVT growth process
    Yan, J-Y
    Chen, Q-S
    Jiang, Y-N
    Zhang, H.
    JOURNAL OF CRYSTAL GROWTH, 2014, 385 : 34 - 37
  • [32] Online monitoring of PVT SiC bulk crystal growth using digital x-ray imaging
    Wellmann, PJ
    Bickermann, M
    Grau, M
    Hofmann, D
    Straubinger, TL
    Winnacker, A
    WIDE-BANDGAP SEMICONDUCTORS FOR HIGH-POWER, HIGH-FREQUENCY AND HIGH-TEMPERATURE APPLICATIONS-1999, 1999, 572 : 259 - 264
  • [33] Development of a methodology for prediction and calibration of parameters of DEM simulations based on machine learning
    Bouassale, Nasr-Eddine
    Sallaou, Mohamed
    Aittaleb, Abdelmajid
    Mechanics Research Communications, 2024, 141
  • [34] Explainable machine learning for the analysis of transport phenomena in top-seeded solution growth of SiC single crystal
    Takehara, Yuto
    Sekimoto, Atsushi
    Okano, Yasunori
    Ujihara, Toru
    Dost, Sadik
    JOURNAL OF THERMAL SCIENCE AND TECHNOLOGY, 2021, 16 (01) : 1 - 13
  • [35] Machine Learning Assisted Simulations of Electrochemical Interfaces: Recent Progress and Challenges
    Zhou, Yipeng
    Ouyang, Yixin
    Zhang, Yehui
    Li, Qiang
    Wang, Jinlan
    JOURNAL OF PHYSICAL CHEMISTRY LETTERS, 2023, 14 (09): : 2308 - 2316
  • [36] Machine Learning Assisted Automation of Single Crystal Neutron Diffraction
    Hao, Yiqing
    Feng, Erxi
    Lu, Dan
    Zimmer, Leah
    Morgan, Zachary
    Chakoumakos, Bryan C.
    Zhang, Guannan
    Cao, Huibo
    ACTA CRYSTALLOGRAPHICA A-FOUNDATION AND ADVANCES, 2023, 79 : A104 - A104
  • [37] A machine learning model to predict yield surfaces from crystal simulations
    Nascimento, Anderson
    Roongta, Sharan
    Diehl, Martin
    Beyerlein, Irene J.
    INTERNATIONAL JOURNAL OF PLASTICITY, 2023, 161
  • [38] Review of machine learning applications for crystal growth research
    Kutsukake, Kentaro
    JOURNAL OF CRYSTAL GROWTH, 2024, 630
  • [39] Stress–strain curve predictions by crystal plasticity simulations and machine learning
    Dmitry S. Bulgarevich
    Makoto Watanabe
    Scientific Reports, 14 (1)
  • [40] Machine Learning Assisted PUF Calibration for Trustworthy Proof of Sensor Data in IoT
    Chatterjee, Urbi
    Chatterjee, Soumi
    Mukhopadhyay, Debdeep
    Chakraborty, Rajat Subhra
    ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2020, 25 (04)
12345