Erratum: Improved prediction for failure time of multilayer ceramic capacitors (MLCCs): A physics-based machine learning approach (APL Machine Learning (2023) 1 (036107) DOI: 10.1063/5.0158360)

Pedram Yousefian; Alireza Sepehrinezhad; Adri C.T. van Duin; Clive A. Randall

doi:10.1063/5.0221988

Erratum: Improved prediction for failure time of multilayer ceramic capacitors (MLCCs): A physics-based machine learning approach (APL Machine Learning (2023) 1 (036107) DOI: 10.1063/5.0158360)

Pedram Yousefian
, Alireza Sepehrinezhad
, Adri C.T. van Duin
, Clive A. Randall

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

The numerical value for the Eyring model prediction for 375 V at 135°C in Fig. 3, along with the correlated error values in Table III in the original paper,1 has been corrected due to a miscalculation for this data point. (Figure presented).

Original language	English (US)
Article number	029901
Journal	APL Machine Learning
Volume	2
Issue number	2
DOIs	https://doi.org/10.1063/5.0221988
State	Published - Jun 1 2024

All Science Journal Classification (ASJC) codes

Computer Science Applications
Computer Vision and Pattern Recognition
Human-Computer Interaction
Software

Access to Document

10.1063/5.0221988

Cite this

@article{b8ef367c34e84e009ca2c16bb7dfb77a,

title = "Erratum: Improved prediction for failure time of multilayer ceramic capacitors (MLCCs): A physics-based machine learning approach (APL Machine Learning (2023) 1 (036107) DOI: 10.1063/5.0158360)",

abstract = "The numerical value for the Eyring model prediction for 375 V at 135°C in Fig. 3, along with the correlated error values in Table III in the original paper,1 has been corrected due to a miscalculation for this data point. (Figure presented).",

author = "Pedram Yousefian and Alireza Sepehrinezhad and \{van Duin\}, \{Adri C.T.\} and Randall, \{Clive A.\}",

note = "Publisher Copyright: {\textcopyright} 2024 Author(s).",

year = "2024",

month = jun,

day = "1",

doi = "10.1063/5.0221988",

language = "English (US)",

volume = "2",

journal = "APL Machine Learning",

issn = "2770-9019",

publisher = "American Institute of Physics",

number = "2",

}

Erratum: Improved prediction for failure time of multilayer ceramic capacitors (MLCCs): A physics-based machine learning approach (APL Machine Learning (2023) 1 (036107) DOI: 10.1063/5.0158360). / Yousefian, Pedram; Sepehrinezhad, Alireza; van Duin, Adri C.T. et al.
In: APL Machine Learning, Vol. 2, No. 2, 029901, 01.06.2024.

Research output: Contribution to journal › Comment/debate › peer-review

TY - JOUR

T1 - Erratum

T2 - Improved prediction for failure time of multilayer ceramic capacitors (MLCCs): A physics-based machine learning approach (APL Machine Learning (2023) 1 (036107) DOI: 10.1063/5.0158360)

AU - Yousefian, Pedram

AU - Sepehrinezhad, Alireza

AU - van Duin, Adri C.T.

AU - Randall, Clive A.

PY - 2024/6/1

Y1 - 2024/6/1

N2 - The numerical value for the Eyring model prediction for 375 V at 135°C in Fig. 3, along with the correlated error values in Table III in the original paper,1 has been corrected due to a miscalculation for this data point. (Figure presented).

AB - The numerical value for the Eyring model prediction for 375 V at 135°C in Fig. 3, along with the correlated error values in Table III in the original paper,1 has been corrected due to a miscalculation for this data point. (Figure presented).

UR - https://www.scopus.com/pages/publications/105024317700

UR - https://www.scopus.com/pages/publications/105024317700#tab=citedBy

U2 - 10.1063/5.0221988

DO - 10.1063/5.0221988

M3 - Comment/debate

AN - SCOPUS:105024317700

SN - 2770-9019

VL - 2

JO - APL Machine Learning

JF - APL Machine Learning

IS - 2

M1 - 029901

ER -

Erratum: Improved prediction for failure time of multilayer ceramic capacitors (MLCCs): A physics-based machine learning approach (APL Machine Learning (2023) 1 (036107) DOI: 10.1063/5.0158360)

Abstract

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this