Conferences

Conferences

Oral Presentation

Oral Presentation

Oral Presentation


“Machine Learning Platform for Next-Generation Calcium-Ion Battery Cathode Material Design and Screening”

Minseon Kim1,†, Jaejung Park2, Heekyu Kim2, Jaejun Lee2, Inhyo Lee1, Seungchul Lee3,††, Kyoungmin Min1,††, *

Artificial intelligence session of KMSE Fall meeting (11/2023)


“Machine Learning Platform for Next-Generation Calcium-Ion Battery Cathode Material Design and Screening”

Minseon Kim1,†, Jaejung Park2, Heekyu Kim2, Jaejun Lee2, Inhyo Lee1, Seungchul Lee3,††, Kyoungmin Min1,††, *

Artificial intelligence session of KMSE Fall meeting (11/2023)


“Machine Learning Platform for Next-Generation Calcium-Ion Battery Cathode Material Design and Screening”

Minseon Kim1,†, Jaejung Park2, Heekyu Kim2, Jaejun Lee2, Inhyo Lee1, Seungchul Lee3,††, Kyoungmin Min1,††, *

Artificial intelligence session of KMSE Fall meeting (11/2023)


“Discovery of Stable Sodium-ion Battery Cathodes with Machine Learning”

Minseon Kim and Kyoungmin Min*

Advanced Material Development and Analytical Technique session of MRS Spring Meeting (04/2023)


“Discovery of Stable Sodium-ion Battery Cathodes with Machine Learning”

Minseon Kim and Kyoungmin Min*

Advanced Material Development and Analytical Technique session of MRS Spring Meeting (04/2023)


“Discovery of Stable Sodium-ion Battery Cathodes with Machine Learning”

Minseon Kim and Kyoungmin Min*

Advanced Material Development and Analytical Technique session of MRS Spring Meeting (04/2023)


“Screening of Next Generation Ni-Rich Cathode Materials with High Electrochemical Properties via Machine Learning”

Minseon Kim, Seungpyo Kang and Kyoungmin Min*

Artificial Intelligence Approaches for Energy Materials session of Materials research society (MRS) Fall meeting (12/2022)


“Screening of Next Generation Ni-Rich Cathode Materials with High Electrochemical Properties via Machine Learning”

Minseon Kim, Seungpyo Kang and Kyoungmin Min*

Artificial Intelligence Approaches for Energy Materials session of Materials research society (MRS) Fall meeting (12/2022)


“Screening of Next Generation Ni-Rich Cathode Materials with High Electrochemical Properties via Machine Learning”

Minseon Kim, Seungpyo Kang and Kyoungmin Min*

Artificial Intelligence Approaches for Energy Materials session of Materials research society (MRS) Fall meeting (12/2022)


“Screening of Sodium-ion Batteries Cathode Materials using Machine Learning”

Minseon Kim and Kyoungmin Min*

Artificial intelligence session of KMSE Fall Meeting (11/2022)


“Screening of Sodium-ion Batteries Cathode Materials using Machine Learning”

Minseon Kim and Kyoungmin Min*

Artificial intelligence session of KMSE Fall Meeting (11/2022)


“Screening of Sodium-ion Batteries Cathode Materials using Machine Learning”

Minseon Kim and Kyoungmin Min*

Artificial intelligence session of KMSE Fall Meeting (11/2022)


“Searching for next-generation battery cathode materials using machine learning”

Minseon Kim, Seungpyo Kang and Kyoungmin Min*

Artificial intelligence session of Korean Society of Mechanical Engineers (KMSE) Fall Meeting (11/2021)


“Searching for next-generation battery cathode materials using machine learning”

Minseon Kim, Seungpyo Kang and Kyoungmin Min*

Artificial intelligence session of Korean Society of Mechanical Engineers (KMSE) Fall Meeting (11/2021)


“Searching for next-generation battery cathode materials using machine learning”

Minseon Kim, Seungpyo Kang and Kyoungmin Min*

Artificial intelligence session of Korean Society of Mechanical Engineers (KMSE) Fall Meeting (11/2021)

Ⓒ 2024 Minseon Kim. All Rights Reserved.

Ⓒ 2024 Minseon Kim. All Rights Reserved.