activity
20242026
most citedTransforming the Synthesis of Carbon Nanotubes with Machine Learning Models and Automation

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2026

A non-equilibrium strategy for the general synthesis of single-atom catalysts

Yue Li, Yang Xu, Yunbiao Zhao +6

Single-atom catalysts (SACs) maximize atom efficiency and exhibit unique electronic structures, yet realizing precise and scalable atomic dispersion remains a key challenge. Here,…

cond-mat.mtrl-sci2025

Artificial Intelligence-Enabled Holistic Design of Catalysts Tailored for Semiconducting Carbon Nanotube Growth

Liu Qian, Yue Li, Ying Xie +6

Catalyst design is crucial for materials synthesis, especially for complex reaction networks. Strategies like collaborative catalytic systems and multifunctional catalysts are effe…

cond-mat.mtrl-sci2025

Subsurface Vacancy Engineering Enables Atomically Clean and Oxidation-Resistant Copper Interfaces for Anode-Free Lithium Metal Batteries

Yue Li, Xuanguang Ren, Xueting Feng +8

Interfaces govern reaction pathways and stability in electrochemical systems, yet creating clean, well-defined metal interfaces at scale remains challenging. In anode-free lithium…

physics.app-ph2024

Calibrated absolute optical contrast for high-throughput characterization of horizontally aligned carbon nanotube arrays

Yue Li, Ying Xie, Jianping Wang +6

Horizontally aligned carbon nanotube (HACNT) arrays hold significant potential for various applications in nanoelectronics and material science. However, their high-throughput char…

physics.app-ph20242 cited

Transforming the Synthesis of Carbon Nanotubes with Machine Learning Models and Automation

Yue Li, Shurui Wang, Zhou Lv +8

Carbon-based nanomaterials (CBNs) are showing significant potential in various fields, such as electronics, energy, and mechanics. However, their practical applications face synthe…