Software & Technical support
Include your software version, steps, error messages and expected behavior on the feedback page so we can investigate and improve.
Submit feedback →Contact & Team
Together, advance the scientific capability, usability and intelligence of XRD analysis.
Software support, teaching and research collaboration, and autonomous laboratories.
01 / Contact
Choose the right contact for your needs.
Teaching & Research
Discuss courses, research analysis, example data and scientific software needs. fengzj#szlab.ac.cn Replace # with @ when sending email.
Autonomous laboratory collaboration
Discuss instrument connections, automatic analysis, scheduling, feedback and integration for your materials system. fengzj#szlab.ac.cn Replace # with @ when sending email.
02 / Application-driven development
Scientific expertise, AI and practical needs
drive the continued development of iPowder.
Research foundations
Artificial intelligence × Materials science
The Artificial Intelligence Research Department at Suzhou Laboratory advances the integration of AI and materials science. Its work spans intelligent materials computation, autonomous experiments, materials big data and foundation models, developing technologies and platforms for data-driven and AI-driven materials research. iPowder is developed by the research groups of Zhenjie Feng and Xin Chen in this department.
Scientific expertise & Technology integration
From scientific algorithms
to intelligent decisions.
Zhenjie Feng’s research group has long worked on XRD data-analysis algorithms and scientific software , accumulating nearly two decades of work in powder diffraction processing, structure solution, phase identification and automated Rietveld refinement. From GEST and PeckCryst, the work expanded to AutoFP, PowderBot, iRing, iQual and iModel, ultimately converging in iPowder. Collaborators including Rongrong Jia at Shanghai University have also supported and participated in parts of this research and development.
This work spans diffraction patterns to crystal structures and manual analysis to automated computation, providing a sustained methodological and software foundation for iPowder’s algorithms, structural models and intelligent workflows.
iPowder integrates accumulated X-ray characterization algorithms, crystallography and AI into one platform spanning data processing, structural analysis and intelligent decisions.
Its development is driven by ongoing research and algorithm innovation as well as practical materials research needs.
- Data processing
- Structure analysis
- Intelligent decisions
Driven by practical needs
Improve platform capabilities through real materials research.
Autonomous laboratories
Wenyang Lu Weibo Gong and other scientists
Supporting autonomous laboratory needs at Suzhou Laboratory, iPowder continues to develop AI Agents, instrument connections and automated analysis to connect scientific analysis with experiments.
Materials Comprehensive Research Facility (Large-scale Scientific Infrastructure)
Biao Deng Tieying Yang and other scientists
For the intelligent operation of the Materials Comprehensive Research Facility, iPowder continues to develop data interpretation and analysis to support materials research with more effective X-ray characterization.
Advance X-ray characterization from conventional processing to intelligent analysis and autonomous experiments , providing efficient, reliable characterization tools for more materials research teams.
Explore autonomous laboratories →Sustained progress through shared effort.
Main iPowder developers
Zekun Zhang Binfeng Lv Xin Chen Zhenjie Feng and others
Contributors to related software
Guanyu Zhao Yuchen Zhang Xingwang Zhang Xiang Zhu Mengfei Sun Ziwei Yan Xiaowei Sun Yicheng Li Jie Shao and others