Predicting Fracture and Conduction Propensity in Glassy Electrolytes Using Classification-Based Machine Learning

Original language	English
Publication date	2023
Publication status	Published - 2023
Event	International Commission on Glass Annual Meeting 2023 - Zhejiang Hotel, Hangzhou, China Duration: 12 Nov 2023 → 15 Nov 2023 https://icg2023.ceramsoc.com/

Conference

Conference	International Commission on Glass Annual Meeting 2023
Location	Zhejiang Hotel
Country/Territory	China
City	Hangzhou
Period	12/11/2023 → 15/11/2023
Internet address	https://icg2023.ceramsoc.com/

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• ICG_electrolytesFinal published version, 63.6 KBLicence: Unspecified

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Projects

• 1 Finished
• 1 Active

Projects per year

• Preventing Micro-Cracks in Amorphous Solid-State Electrolytes for Batteries

  Smedskjær, M. M. & Sørensen, S. S.

  01/09/2022 → 31/08/2025

  Project: Research

  • Electrolyte 100%
  • Solid Electrolyte 77%
  • Ionic Conductivity 60%
  • Lithium 59%
  • Fracture Toughness 54%

• ToughMOF: Tailoring Metal-Organic Framework Glasses with Higher Fracture Toughness

  Smedskjær, M. M. & Du, T.

  01/08/2021 → 31/07/2023

  Project: Research

  • Glass 100%
  • Metal-Organic Framework 36%
  • Electrolyte 30%
  • Fracture Toughness 28%
  • Lithium 26%

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Du, T., Chen, Z., Bauchy, M., Yue, Y., & Smedskjær, M. M. (2023). Predicting Fracture and Conduction Propensity in Glassy Electrolytes Using Classification-Based Machine Learning. Abstract from International Commission on Glass Annual Meeting 2023, Hangzhou, China.

Du, Tao ; Chen, Zhimin ; Bauchy, Mathieu et al. / Predicting Fracture and Conduction Propensity in Glassy Electrolytes Using Classification-Based Machine Learning. Abstract from International Commission on Glass Annual Meeting 2023, Hangzhou, China.

@conference{4f1238d75f5244f5879d97838ac94665,

title = "Predicting Fracture and Conduction Propensity in Glassy Electrolytes Using Classification-Based Machine Learning",

author = "Tao Du and Zhimin Chen and Mathieu Bauchy and Yuanzheng Yue and Smedskj{\ae}r, {Morten Mattrup}",

year = "2023",

language = "English",

note = "International Commission on Glass Annual Meeting 2023 ; Conference date: 12-11-2023 Through 15-11-2023",

url = "https://icg2023.ceramsoc.com/",

}

Du, T, Chen, Z, Bauchy, M, Yue, Y & Smedskjær, MM 2023, 'Predicting Fracture and Conduction Propensity in Glassy Electrolytes Using Classification-Based Machine Learning', International Commission on Glass Annual Meeting 2023, Hangzhou, China, 12/11/2023 - 15/11/2023.

Predicting Fracture and Conduction Propensity in Glassy Electrolytes Using Classification-Based Machine Learning. / Du, Tao; Chen, Zhimin; Bauchy, Mathieu et al.
2023. Abstract from International Commission on Glass Annual Meeting 2023, Hangzhou, China.

Research output: Contribution to conference without publisher/journal › Conference abstract for conference › Research › peer-review

TY - ABST

T1 - Predicting Fracture and Conduction Propensity in Glassy Electrolytes Using Classification-Based Machine Learning

AU - Du, Tao

AU - Chen, Zhimin

AU - Bauchy, Mathieu

AU - Yue, Yuanzheng

AU - Smedskjær, Morten Mattrup

PY - 2023

Y1 - 2023

M3 - Conference abstract for conference

T2 - International Commission on Glass Annual Meeting 2023

Y2 - 12 November 2023 through 15 November 2023

ER -

Du T, Chen Z, Bauchy M, Yue Y, Smedskjær MM. Predicting Fracture and Conduction Propensity in Glassy Electrolytes Using Classification-Based Machine Learning. 2023. Abstract from International Commission on Glass Annual Meeting 2023, Hangzhou, China.