Bo Yu
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View article: Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory
Maximizing Efficiency of Dataset Compression for Machine Learning Potentials With Information Theory Open
Machine learning interatomic potentials (MLIPs) balance high accuracy and lower costs compared to density functional theory calculations, but their performance often depends on the size and diversity of training datasets. Large datasets im…
View article: Smart-GRPO: Smartly Sampling Noise for Efficient RL of Flow-Matching Models
Smart-GRPO: Smartly Sampling Noise for Efficient RL of Flow-Matching Models Open
Recent advancements in flow-matching have enabled high-quality text-to-image generation. However, the deterministic nature of flow-matching models makes them poorly suited for reinforcement learning, a key tool for improving image quality …
View article: BRAN2SAT: Redundant Satisfiability Logic in Lyapunov-Based Discrete Hopfield Neural Network
BRAN2SAT: Redundant Satisfiability Logic in Lyapunov-Based Discrete Hopfield Neural Network Open
This study introduces a novel non-systematic logical structure, termed B-type Random 2-Satisfiability, which incorporates non-redundant first- and second-order clauses, as well as redundant second-order clauses. The proposed logical rules …
View article: Enhanced diplopia detection and binocular single vision assessment through virtual reality: A comprehensive study
Enhanced diplopia detection and binocular single vision assessment through virtual reality: A comprehensive study Open
View article: Analysis of the explosion venting holes in the cabin explosion on the structural response
Analysis of the explosion venting holes in the cabin explosion on the structural response Open
Firstly, the damaging effect of the internal explosion in a closed cabin by numerical simulation has been evaluated, which indicates that the pressure peak of the shock wave and the duration of positive pressure in the closed cabin has bee…
View article: Artificial Intelligence Driven Plaque Characterization and Functional Assessment from Ccta Using Oct-Based Automation: A Prospective Study
Artificial Intelligence Driven Plaque Characterization and Functional Assessment from Ccta Using Oct-Based Automation: A Prospective Study Open
View article: Collaborative Improvement of Interfacial Properties of Carbon Fiber/Epoxy Resin Composites Through Modulus/Toughness Matching and Gradient Interface Based on Organic-Inorganic Three-Dimensional Hybrid Particles
Collaborative Improvement of Interfacial Properties of Carbon Fiber/Epoxy Resin Composites Through Modulus/Toughness Matching and Gradient Interface Based on Organic-Inorganic Three-Dimensional Hybrid Particles Open
View article: Neural Network-Based Bubble Interface Prediction
Neural Network-Based Bubble Interface Prediction Open
View article: Multi-objective topology optimization and thermal performance of liquid-cooled microchannel heat sinks with pin fins
Multi-objective topology optimization and thermal performance of liquid-cooled microchannel heat sinks with pin fins Open
The optimized structures for the liquid-cooled microchannel heat sinks with different pin-fin arrays were designed via using the topology optimization method for the better performance, including minimization of the flow energy dissipation…
View article: Identification of Pipeline Inner Wall Geometry Based on the POD-RBF Method
Identification of Pipeline Inner Wall Geometry Based on the POD-RBF Method Open
Based on the proper orthogonal decomposition-radial basis function (POD-RBF), a geometric identification method for pipeline inner wall was proposed to solve the internal corrosion detection problem of natural gas and oil pipelines. In vie…
View article: An Integrated Energy System Operation Optimization Model for Water Consumption Control Analysis in Park Scale from the Perspective of Energy–Water Nexus
An Integrated Energy System Operation Optimization Model for Water Consumption Control Analysis in Park Scale from the Perspective of Energy–Water Nexus Open
The water–energy nexus has become a key factor in the implementation of low-carbon green development, which has led to the need for exploring effective management within the coupled integrated system with multi-energy flow supplies. In thi…
View article: Identification of Crack Tip Positions Based on the Scaled Boundary Finite Element Method and the Grey Wolf Optimization Algorithm
Identification of Crack Tip Positions Based on the Scaled Boundary Finite Element Method and the Grey Wolf Optimization Algorithm Open
Based on the scaled boundary finite element method (SBFEM) and the grey wolf optimization algorithm (GWO), an identification method for crack tips was proposed. Firstly, the special advantages of the SBFEM were used to solve the fracture m…
View article: The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning
The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning Open
To detect false data injection attacks (FDIAs) in power grid reconstruction and solve the problem of high data dimension and bad abnormal data processing in the power system, thereby achieving safe and stable operation of the power grid sy…
View article: Research on Prediction Model of Cable Line Cost Based on Least Square Support Vector Machine
Research on Prediction Model of Cable Line Cost Based on Least Square Support Vector Machine Open
With the development of China’s economy and society, the total social electricity consumption has risen dramatically, and the investment scale of transmission and transformation projects has increased accordingly. Cable line engineering is…
View article: Transmission line engineering cost prediction based on principal component analysis and least square support vector machine
Transmission line engineering cost prediction based on principal component analysis and least square support vector machine Open
Due to the many factors affecting the cost of transmission line engineering and the lack of mutual independence, it is difficult to predict the cost. Firstly, the principal component analysis is used to process the original indicator data,…
View article: Research on the calculation model of shear key of adjacent precast concrete box beam bridge
Research on the calculation model of shear key of adjacent precast concrete box beam bridge Open
In this paper, experimental study and finite strip method were used to analyze the lateral shearing performance of adjacent precast concrete box beam bridge shear key.According to the structural style and the load characteristics, the fini…
View article: Filtering Back Analysis Model of Elastic Modulus of U Channel Beam with Degraded Shell Element
Filtering Back Analysis Model of Elastic Modulus of U Channel Beam with Degraded Shell Element Open
View article: The application research on improvement of genetic algorithm in linear CCD detection
The application research on improvement of genetic algorithm in linear CCD detection Open
When the linear array image sensor (CCD) is used for spot detection, the optimization of the detection signal is usually one of the problems that plague the user. In linear array imaging sensor (CCD) detection applications, optimization of…
View article: Loop W(a,b) Lie conformal algebra
Loop W(a,b) Lie conformal algebra Open
Fix $a,b\in\C$, let $LW(a,b)$ be the loop $W(a,b)$ Lie algebra over $\C$ with basis $\{L_{\a,i},I_{\b,j} \mid \a,\b,i,j\in\Z\}$ and relations $[L_{\a,i},L_{\b,j}]=(\a-\b)L_{\a+\b,i+j}, [L_{\a,i},I_{\b,j}]=-(a+b\a+\b)I_{\a+\b,i+j},[I_{\a,i}…