|
|
|
|
|
Artemiy Belousov, Ivan Kisel, Robin Lakos and Akhil Mithran
Algorithms optimized for high-performance computing, which ensure both speed and accuracy, are crucial for real-time data analysis in heavy-ion physics experiments. The application of neural networks and other machine learning methodologies, which are fa...
ver más
|
|
|
|
|
|
|
|
|
Guohong Shen, Shenyi Zhang, Xianguo Zhang, Huanxin Zhang, Bin Yuan, Donghui Hou, Chunqin Wang, Zida Quan, Zhe Yang and Yueqiang Sun
To conduct real-time monitoring of the particle radiation environment in the orbit of the Tiangong space station, the installation of an energy particle detector operating on the outside of Wentian laboratory cabin module is proposed. Monitoring the ener...
ver más
|
|
|
|
|
|
|
|
|
Hao Xue, Min Xu, Yueyang Yu, Jiancheng Wan, Chen Liu and Fansheng Meng
The heavy metal adsorbents developed based on biomass resources have valuable application prospects due to the characteristics of rich sources, renewability and low cost. In the present work, a carboxyl functioned loofah fiber (LF@AA) was synthesized via...
ver más
|
|
|
|
|
|
|
|
|
Lennart Volz, Claire-Anne Reidel, Marco Durante, Yolanda Prezado, Christoph Schuy, Uli Weber and Christian Graeff
Particle minibeam therapy has demonstrated the potential for better healthy tissue sparing due to spatial fractionation of the delivered dose. Especially for heavy ions, the spatial fractionation could enhance the already favorable differential biologica...
ver más
|
|
|
|
|
|
|
|
|
Yang Bai, Yin Pang, Zheng Wu, Xi Li, Jiang Jing, Hongbin Wang and Zheng Zhou
A manganese dioxide-modified red mud (Mn-RM) was developed as an adsorbent for the effective removal of lead ions (Pb2+) from wastewater. Various methods were used to characterize the prepared Mn-RM, analyze its adsorption performance, and evaluate the a...
ver más
|
|
|
|