Analyzing lithium ion conductivity in thiophosphate glassy electrolytes via machine learning

Original language	English
Publication date	2023
Publication status	Published - 2023
Event	Electrochemical Science and Technology Conference 2023 - Duration: 2 Nov 2023 → 3 Nov 2023

Conference

Conference	Electrochemical Science and Technology Conference 2023
Period	02/11/2023 → 03/11/2023

Access to Document

• Zhimin_PosterFinal published version, 259 KB

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Projects

• 1 Finished

Projects per year

• Mechanical Properties of Glassy Solid Electrolytes

  Smedskjær, M. M. (PI) & Chen, Z. (Project Participant)

  01/10/2021 → 30/09/2024

  Project: PhD Project

  • Lithium 100%
  • Ionic Conductivity 81%
  • Lithium Ion 76%
  • Fracture Toughness 70%
  • Solid Electrolyte 63%

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Chen, Z., Du, T., Christensen, R., Bauchy, M., & Smedskjær, M. M. (2023). Analyzing lithium ion conductivity in thiophosphate glassy electrolytes via machine learning. Poster presented at Electrochemical Science and Technology Conference 2023.

Chen, Zhimin ; Du, Tao ; Christensen, Rasmus et al. / Analyzing lithium ion conductivity in thiophosphate glassy electrolytes via machine learning. Poster presented at Electrochemical Science and Technology Conference 2023.

@conference{0bf8e87b50a54a90968c997c9cd70773,

title = "Analyzing lithium ion conductivity in thiophosphate glassy electrolytes via machine learning",

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

year = "2023",

language = "English",

note = "Electrochemical Science and Technology Conference 2023 ; Conference date: 02-11-2023 Through 03-11-2023",

}

Chen, Z, Du, T, Christensen, R, Bauchy, M & Smedskjær, MM 2023, 'Analyzing lithium ion conductivity in thiophosphate glassy electrolytes via machine learning', Electrochemical Science and Technology Conference 2023, 02/11/2023 - 03/11/2023.

Analyzing lithium ion conductivity in thiophosphate glassy electrolytes via machine learning. / Chen, Zhimin; Du, Tao; Christensen, Rasmus et al.
2023. Poster presented at Electrochemical Science and Technology Conference 2023.

Research output: Contribution to conference without publisher/journal › Poster › Research › peer-review

TY - CONF

T1 - Analyzing lithium ion conductivity in thiophosphate glassy electrolytes via machine learning

AU - Chen, Zhimin

AU - Du, Tao

AU - Christensen, Rasmus

AU - Bauchy, Mathieu

AU - Smedskjær, Morten Mattrup

PY - 2023

Y1 - 2023

M3 - Poster

T2 - Electrochemical Science and Technology Conference 2023

Y2 - 2 November 2023 through 3 November 2023

ER -

Chen Z, Du T, Christensen R, Bauchy M, Smedskjær MM. Analyzing lithium ion conductivity in thiophosphate glassy electrolytes via machine learning. 2023. Poster presented at Electrochemical Science and Technology Conference 2023.