ReMO for Cathode - Honda Research Institute USA

ReMO for Cathode

ReMO for Cathode

Rare earth Manganese Oxide (ReMO) as a cathode material has potential capacity higher than that of commercial lithium manganese oxide.

Rare earth Manganese Oxide (ReMO) is an ABO3 type perovskite material that is a known oxygen storage material.  When used as the cathode in a cell with lithium metal acting as the anode, it showed battery behavior with capacities higher than that of commercial lithium manganese oxide .  In this work, we want to show  that the synthesis method and post-treatment of the resulting perovskite effects both it's chemical composition and the physical structure. We concluded that the nature of the chemical composition or structure has a direct relationship to the mechanism of the battery function.  By using multi-scan cyclic voltametry in combination with in-situ electrochemical atomic force and scanning tunneling microscopy along with ex-situ synchrotron XAS and XRD we were able to clearly understand the cathode mechanism.

Publications

Open Journal Vehicular Technology 2024 2025
Samuel Thornton, Nithin Santhanam, Rajeev Chhajer, Sujit Dey
IEEE Conference on Decision and Control (CDC) 2024
Sooyung Byeon, Danyang Tian, Jackie Ayoub, Miao Song, Ehsan Moradi Pari, Inseok Hwang
Neural Information Processing Systems (NeurIPS), 2024. 2024
Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee
NeurIPS 2024 2024
Huao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki, Vaishnav Tadiparthi, Kwonjoon Lee, Ehsan Moradi-Pari, Charles Michael Lewis, Katia P. Sycara
Robotics and Automation Letters (RA-L) 2024
Jinning Li, Jiachen Li, Sangjae Bae, and David Isele
Conference on Robot Learning (CoRL) 2024 Learning Robot Fine and Dexterous Manipulation Workshop 2024
Thomas Power, Abhinav Kumar, Fan Yang, Sergio Aguilera Marinovic, Soshi Iba, Rana Soltani Zarrin, Dmitry Berenson
Empirical Methods in Natural Language Processing (EMNLP 2024) 2024
Muhan Lin, Shuyang Shi, Yue Guo, Behdad Chalaki, Vaishnav Tadiparthi, Simon Stepputtis, Joseph Campbell, Katia P. Sycara, Ehsan Moradi-Pari
Frontiers in Robotics and Automation 2024
Hifza Javed, Weinan Wang, Affan Bin Usman, and Nawid Jamali
International Journal on Robotics Research 2024
Muchen Sun, Francesca Baldini, Pete Trautman, Todd Murphey
Robotics and Automation Letters (RA-L) 2024
Mansur M. Arief, Mike Timmerman, Jiachen Li, David Isele, and Mykel J. Kochenderfer
Nat. Commun. 15, 10080 (2024) 2024
Xufan Li, Samuel Wyss, Emanuil Yanev, Qing-Jie Li, Shuang Wu, Yongwen Sun, Raymond R. Unocic, Joseph Stage, Matthew Strasbourg, Lucas M. Sassi, Yingxin Zhu, Ju Li, Yang Yang, James Hone, Nicholas Borys, P. James Schuck, Avetik R. Harutyunyan
NeurIPS 2024 Workshop Open-World Agents 2024
Nikki_Lijing_Kuang, Songpo Li, Soshi Iba
Intelligent Robots and Systems (IROS) 2024
Hongyu Li, Snehal Dikhale, Jinda Cui, Soshi Iba, and Nawid Jamali
IROS 2024 2024
Viet-Anh Le​, Vaishnav Tadiparthi, Behdad Chalaki,​ Hossein Nourkhiz Mahjoub, Jovin D’sa, Ehsan Moradi-Pari​
arXiv preprint arXiv:2409.09415 (2024) 2024
Lingo, Ryan, Martin Arroyo, and Rajeev Chhajer
Conference on Robot Learning (CoRL) 2024
Patrick Naughton, Jinda Cui, Karankumar Patel, and Soshi Iba
European Conference on Computer Vision (ECCV), 2024 2024
Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, Shao-Yuan Lo
European Conference on Computer Vision (ECCV), 2024 2024
Seunggeun Chi, Hyung-gun Chi, Hengbo Ma, Nakul Agarwal, Faizan Siddiqui, Karthik Ramani, Kwonjoon Lee
European Conference on Computer Vision (ECCV), 2024 2024
Shijie Wang, Qi Zhao, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun