1 citations · 1 across the 4 of their papers we have counts for
5 papers
Innovator-VL: A Multimodal Large Language Model for Scientific Discovery
Zichen Wen, Boxue Yang, Shuang Chen +30
We present Innovator-VL, a scientific multimodal large language model designed to advance understanding and reasoning across diverse scientific domains while maintaining excellent…
Bohrium + SciMaster: Building the Infrastructure and Ecosystem for Agentic Science at Scale
Linfeng Zhang, Siheng Chen, Yuzhu Cai +46
AI agents are emerging as a practical way to run multi-step scientific workflows that interleave reasoning with tool use and verification, pointing to a shift from isolated AI-assi…
EM3M: An Electron Micrograph Dataset for Microstructural Segmentation and Generation
Nan Wang, Zhiyi Xia, Yiming Li +7
Quantitative microstructural characterization is fundamental to materials science, and electron micrographs (EMs) provide indispensable high-resolution insights. However, progress…
Uni-AIMS: AI-Powered Microscopy Image Analysis
Yanhui Hong, Nan Wang, Zhiyi Xia +11
This paper presents a systematic solution for the intelligent recognition and automatic analysis of microscopy images. We developed a data engine that generates high-quality annota…
Single-image based deep learning for precise atomic defects identification
Kangshu Li, Xiaocang Han, Yanhui Hong +11
Defect engineering has been profoundly employed to confer desirable functionality to materials that pristine lattices inherently lack. Although single atomic-resolution scanning tr…