分类： 生物学 >> 生物物理学 提交时间： 2016-05-12
摘要： Nerve growth factor (NGF) is an important protein that is involved in a variety of physiological processes in cell survival, differentiation, proliferation and maintenance. The previously reported crystal structure of mouse NGF (mNGF) in complex with lysophosphatidylserine (LysoPS) showed that mNGF can bind LysoPS at its dimeric interface. To expand the understanding of the structural basis for specific lipid recognition by NGF, the crystal structure of mNGF complexed with lysophosphatidylinositol (13:0 LysoPI) was solved. Interestingly, in addition to Lys88, which interacts with the head glycerol group and the phosphate group of LysoPI, as seen in the mNGF-LysoPS structure, two additional residues, Tyr52 and Arg50, were found to assist in lipid binding by forming hydrogen bonds to the inositol moiety of the LysoPI molecule. The results suggest a specific recognition mechanism of inositol group-containing lipids by NGF, which may help in the design of bioactive compounds that can be delivered by NGF.
分类： 物理学 >> 核物理学 提交时间： 2024-01-02
摘要： The aging of operational reactors leads increased mechanical vibrations of reactor internals. The vibration of the in-core sensors near their nominal locations is a new issue for the neutronic fields reconstruction. Current field reconstruction methods fail to handle spatially moving sensors. In this work, we proposed a Voronoi tessellation techinque in combination with convolutional neural networks (V-CNN) to handle this challenge. The observations from movable in-core sensors are projected to the same global field structure, this projection is achieved with Voronoi tessellation, holding the magnitude and location information of sensors. The general convolutional neural networks were used to learn the map from observations to the global field. The proposed method is able to reconstruct the multi-physics fields (e.g., the fast flux, thermal flux and power rate) using observations from single field (e.g., thermal flux). Numerical tests based on IAEA benchmark proved its potential for real engineering usage, particularly, within an amplitude of 5 cm around nominal locations, the field reconstruction leads to average relative errors below 5 % and 10 % in $L_2$ norm and $L_{ infty}$ norm, respectively.
分类： 核科学技术 >> 辐射物理与技术 提交时间： 2024-05-08
摘要： Accurate and efficient online parameter identification and state estimation are crucial for leveraging Digital Twin simulations to optimize the operation of near-carbon-free nuclear energy systems. In previous studies, we developed a reactor operation digital twin (RODT). However, non-differentiabilities and discontinuities arise when employing machine-learning-based surrogate forward models, challenging traditional gradient-based in verse methods and their variants. This study investigated deterministic and metaheuristic algorithms and developed hybrid algorithms to address these issues. An efficient modular RODT software framework that incorpo rates these methods into its post-evaluation module is presented for comprehensive comparison. The methods were rigorously assessed based on convergence profiles, stability with respect to noise, and computational performance. The numerical results show that the hybrid KNNLHS algorithm excels in real-time online applications, balancing accuracy and efficiency with a prediction error rate of only 1% and processing times of less than 0.1 s. Contrastingly, algorithms such as FSA, DE, and ADE, although slightly slower (approximately 1 s), demonstrated higher accuracy with a 0.3% relative L2 error, which advances RODT methodologies to harness machine learning and system modeling for improved reactor monitoring, systematic diagnosis of off-normal events, and lifetime management strategies. The developed modular software and novel optimization methods presented offer pathways to realize the full potential of RODT for transforming energy engineering practices.
分类： 核科学技术 >> 核探测技术与核电子学 提交时间： 2023-06-18 合作期刊: 《Nuclear Science and Techniques》
摘要： In the RCPI (rod control and position indication) system prototype of the TMSR (Thorium Molten Salt Reactor) project, EPICS (Experimental Physics and Industrial Control System) was adopted as instrumentation and control software platform. According to long time running, high availability and safety for the system, RMT (redundancy monitor task) software package for Input/Output Controller (IOC) redundancy was employed, and the driver for redundancy control was realized. Test shows that the system could achieve IOC redundancy switch-over quickly and ensure the IOC running with long-term stability.
点击量
待评议
点击量
下载量
评论
通过
