4 papers
Rongzai agent: A Large Language Model-Based Autonomous Assistant for Rietveld Refinement of Neutron Diffraction Data
Qingmeng Li, Hao Wang, Dongbo Xiong +11
Neutron diffraction (ND) is an indispensable technique for determining atomic positions (especially light elements) and thus serves as a critical probe for revealing microscopic st…
Designing a Dataset for Convolutional Neural Networks to Predict Space Groups Consistent with Extinction Laws
Hao Wang, Jiajun Zhong, Yikun Li +2
In this paper, a dataset of one-dimensional powder diffraction patterns was designed with new strategy to train Convolutional Neural Networks for predicting space groups. The diffr…
The Virtual Neutron Experiment for TOF Neutron Reflectometer
Taisen Zuo, Haolai Tian, Yanyan Wang +5
A general virtual neutron experiment for TOF neutron reflectometer was introduced, including instrument simulation, sample modeling, detector simulation and data reduction to mimic…
Data Reduction for Time-of-Flight Small-Angle Neutron Scattering with Virtual Neutrons
Rong Du, HaoLai Tian, TaiSen Zuo +3
Small-angle neutron scattering (SANS) is an experimental technique to detect material structures in the nanometer to micrometer range. The solution of the structural model construc…