Battery materials discovery — citation graph of key research
Explore the most influential research on battery materials discovery as an interactive citation graph on Constellation. The papers below are connected by direct citations and shared references — open any one to center the graph on it and discover related work.
Top papers on battery materials discovery
- The Electrolyte Genome project: A big data approach in battery materials discovery
Xiaohui Qu, Anubhav Jain, Nav Nidhi Rajput et al. — 2015 · Computational Materials Science · 205 citations - Battery Materials Discovery and Smart Grid Management using Machine Learning
Andrew Jun Yao Wong, Xin Zhou, Yanwei Lum et al. — 2022 · Batteries & Supercaps · 8 citations - Enhancing high-throughput battery materials discovery and design with artificial intelligence
Qian Zhao, Bing He, Yurong Ren et al. — 2026 · eScience - Accelerating battery materials discovery with an agentic AI for automated XPS analysis integrating physical constraints and chemometrics
Zhenzhen Yang, Gabriel M. Veith, Seoung‐Bum Son et al. — 2026 · Energy and AI - Machine learning assisted materials design and discovery for rechargeable batteries
Yue Liu, Biru Guo, Xinxin Zou et al. — 2020 · Energy storage materials · 466 citations - A Data‐to‐Interface Framework for AI‐Guided Sodium‐Ion Battery Materials Discovery: From Descriptors to Full‐Cell Decisions
Gang Chen, Hongyang Zhao, Junfeng Li et al. — 2026 · Advanced Functional Materials - The discovery of cathode materials for lithium‐ion batteries from the view of interdisciplinarity
Yunhui Huang — 2022 · Interdisciplinary materials · 135 citations - High-Throughput Discovery of Battery Materials
Radislav A. Potyrailo, Wilhelm F. Maier — 2006 · CRC Press eBooks - Toward Automated Computational Discovery of Battery Materials
Xiang Feng, Qianfan Zhang, Zhi Wei Seh — 2022 · Advanced Materials Technologies · 13 citations - High-Throughput Discovery of Battery Materials
Alan D. Spong, Ģirts Vītiņš, John Owen — 2006 · Critical reviews in combinatorial chemistry - Quantum Computing and Artificial Intelligence in Materials Discovery for Batteries
S. Harish, R. V. V. Krishna, V. Satyanarayana et al. — 2024 · Advances in computational intelligence and robotics book series - Miniaturize the Redox Flow Battery for Accelerated Materials Discovery and Development
Ruozhu Feng, Andrey V. Liyu, Soowhan Kim et al. — 2024 · Journal of The Electrochemical Society · 5 citations