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ACS Applied Materials & Interfaces
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September 2, 2021
Searching for Mechanically Superior Solid-State Electrolytes in Li-Ion Batteries <i>via</i> Data-Driven Approaches
Eunseong Choi, Junho Jo, Wonjin Kim, et al.
ACS Nano
|
July 10, 2014
DNA base detection using a single-layer MoS2
Amir Barati Farimani, Kyoungmin Min, Narayana R Aluru
ACS Applied Materials & Interfaces
|
May 26, 2023
Enhanced Hydrogen Evolution Performance at the Lateral Interface between Two Layered Materials Predicted with Machine Learning
Thi Hue Pham, Eunsong Kim, Kyoungmin Min, et al.
ACS Biomaterials Science & Engineering
|
October 16, 2023
Prediction of Protein Aggregation Propensity via Data-Driven Approaches
Seungpyo Kang, Minseon Kim, Jiwon Sun, et al.
The Journal of Physical Chemistry Letters
|
March 23, 2017
Antibody Subclass Detection Using Graphene Nanopores
Amir Barati Farimani, Mohammad Heiranian, Kyoungmin Min, et al.
ACS Applied Materials & Interfaces
|
May 6, 2017
Computational Screening for Design of Optimal Coating Materials to Suppress Gas Evolution in Li-Ion Battery Cathodes
Kyoungmin Min, Seung-Woo Seo, Byungjin Choi, et al.
ACS Nano
|
October 14, 2024
Active Learning Framework for Expediting the Search of Thermodynamically Stable MXenes in the Extensive Chemical Space
Jaejung Park, Jongmok Lee, Jaejun Lee, et al.
Physical Chemistry Chemical Physics : PCCP
|
November 26, 2016
A first-principles study of the preventive effects of Al and Mg doping on the degradation in LiNi<sub>0.8</sub>Co<sub>0.1</sub>Mn<sub>0.1</sub>O<sub>2</sub> cathode materials
Kyoungmin Min, Seung-Woo Seo, You Young Song, et al.
ACS Applied Materials & Interfaces
|
October 3, 2025
Evaluating Machine Learning Interatomic Potentials for Accurate and Scalable Modeling of Organometallic Precursors
Seungpyo Kang, JunHo Song, Jinyoung Jeong, et al.
ACS Applied Materials & Interfaces
|
September 23, 2024
Uncovering the Relationship between Metal Elements and Mechanical Stability for Metal-Organic Frameworks
Inhyo Lee, Jaejun Lee, Minseon Kim, et al.
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Showing results (21-30 of 45) with videos related to
Sort By:
Page
of 5
ACS Applied Materials & Interfaces
|
September 2, 2021
Searching for Mechanically Superior Solid-State Electrolytes in Li-Ion Batteries <i>via</i> Data-Driven Approaches
Eunseong Choi, Junho Jo, Wonjin Kim, et al.
ACS Nano
|
July 10, 2014
DNA base detection using a single-layer MoS2
Amir Barati Farimani, Kyoungmin Min, Narayana R Aluru
ACS Applied Materials & Interfaces
|
May 26, 2023
Enhanced Hydrogen Evolution Performance at the Lateral Interface between Two Layered Materials Predicted with Machine Learning
Thi Hue Pham, Eunsong Kim, Kyoungmin Min, et al.
ACS Biomaterials Science & Engineering
|
October 16, 2023
Prediction of Protein Aggregation Propensity via Data-Driven Approaches
Seungpyo Kang, Minseon Kim, Jiwon Sun, et al.
The Journal of Physical Chemistry Letters
|
March 23, 2017
Antibody Subclass Detection Using Graphene Nanopores
Amir Barati Farimani, Mohammad Heiranian, Kyoungmin Min, et al.
ACS Applied Materials & Interfaces
|
May 6, 2017
Computational Screening for Design of Optimal Coating Materials to Suppress Gas Evolution in Li-Ion Battery Cathodes
Kyoungmin Min, Seung-Woo Seo, Byungjin Choi, et al.
ACS Nano
|
October 14, 2024
Active Learning Framework for Expediting the Search of Thermodynamically Stable MXenes in the Extensive Chemical Space
Jaejung Park, Jongmok Lee, Jaejun Lee, et al.
Physical Chemistry Chemical Physics : PCCP
|
November 26, 2016
A first-principles study of the preventive effects of Al and Mg doping on the degradation in LiNi<sub>0.8</sub>Co<sub>0.1</sub>Mn<sub>0.1</sub>O<sub>2</sub> cathode materials
Kyoungmin Min, Seung-Woo Seo, You Young Song, et al.
ACS Applied Materials & Interfaces
|
October 3, 2025
Evaluating Machine Learning Interatomic Potentials for Accurate and Scalable Modeling of Organometallic Precursors
Seungpyo Kang, JunHo Song, Jinyoung Jeong, et al.
ACS Applied Materials & Interfaces
|
September 23, 2024
Uncovering the Relationship between Metal Elements and Mechanical Stability for Metal-Organic Frameworks
Inhyo Lee, Jaejun Lee, Minseon Kim, et al.
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of 5