About Me

Hello! I am Zhengqian Jin 👋, a Ph.D. candidate.

📬 Contact

Email: omwtbarca@gmail.com

🎓 Education

	B.S. in Applied Chemistry 🧪 Tongji University, Shanghai, China 🇨🇳 2019 – 2023
	Ph.D. Candidate 🔋 National Innovation Platform (Center) for Industry-Education Integration of Energy Storage Technology Xi’an Jiaotong University (XJTU), Xi’an, China 🇨🇳 2023 – Present

📍 Current Position

I work under the guidance of Prof. Kai Xi & Prof. Shujiang Ding at the National Innovation Platform (Center) for Industry-Education Integration of Energy Storage Technology.

🔬 Research Focus

My research focuses on lithium metal batteries, and I am particularly interested in the areas of structure design, catalysts, material synthesis, and exploring the underlying mechanisms.

🔋 Lithium metal batteries (LMBs) & anode-free cells
⚗️ Interface catalysis and inhomogeneous reaction regulation
📊 Distributed-parameter in-situ/operando characterization
→ Multi-scale SEI & Li plating/stripping mechanisms

🩵 Hobbies & Interests

🎨 Scientific visualization and aesthetic plots
🇪🇸 Learning Spanish
⚽ Football, 🥊 UFC Boxing, 🏈 NFL
🏃 Long-distance running

My gadget

→ View all utilities

🤖 Side Project

I also run a PaperBot on X (formerly Twitter) that automatically shares new research in the battery field. You can follow it here: @EKL_Batteries → 🔗 https://x.com/EKL_Batteries

Tweets by EKL_Batteries

Multiscale insights enable rational design of solvent-free dry electrode processing for advanced battery electrode fabricationhttps://t.co/J3FTIKcX3t
— 🔋EKL Battery Papers (@EKL_Batteries) December 26, 2025

The 2025 Battery Research Landscape: An Unofficial Report 📊
Moving beyond spreadsheets, we processed literature data from 2022-2025 to visualize the current state of battery research. 📍3 Key Observations:#BatteryResearch #LiMetal #SolidState #ResearchTrends #AcademicTwitter pic.twitter.com/p0Xf5z1wXg
— 🔋EKL Battery Papers (@EKL_Batteries) January 18, 2026

🎨Selected Visualizations

A collection of inspiring scientific figures and data visualizations. These examples showcase elegant schematic designs, multi-scale mechanisms, performance comparisons, and trend analyses — reflecting my ongoing interest in creating clear, aesthetically pleasing plots to communicate complex battery research concepts. All images are credited to their original sources.

Fig. 1: Comparative performance of LDHs vs HELHs — **Fig. 1** — Radar charts and summary table comparing traditional LDHs and high-entropy HELHs across thermodynamic stability, electrochemical activity, tunability, and more. HELHs show superior overall performance with balanced trade-offs. (Nano-Micro Lett. 18 (2026) 200. OA)

Fig. 2: Evolution scheme of HELHs with ML optimization — **Fig. 2** — Schematic evolution of HELHs, illustrating machine learning-driven element selection for enhanced catalytic performance in energy conversion/storage. (Nano-Micro Lett. 18 (2026) 200. OA)

Fig. 7: OER activity bubble chart and element frequency — **Fig. 7** — (a) Bubble chart of OER activity for various HELHs (size by current density); (b) Frequency of metal elements in HELHs catalysts, with word cloud inset. Highlights common compositions driving performance. (Nano-Micro Lett. 18 (2026) 200. OA)

Fig. 12: Synergistic catalysis and biomedical applications — **Fig. 12** — Synergistic catalysis mechanisms in HELHs nanozymes for ROS generation via multi-metal sites, plus outlook on biomedical uses (antimicrobial, biosensors, drug delivery). (Nano-Micro Lett. 18 (2026) 200. OA)

Fig. 13: Future outlook of HELHs research — **Fig. 13** — Future research strategies for HELHs: synthetic control, operando characterization, multiphysics integration, DFT/ML screening, and interdisciplinary expansion in energy, environment, and biomedicine. (Nano-Micro Lett. 18 (2026) 200. OA)

All images credited to their original publications.