Rongzhen Wang
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View article: Discrete Element Modeling of Fracture Behavior of Thermal Barrier Coatings Under Bending Conditions
Discrete Element Modeling of Fracture Behavior of Thermal Barrier Coatings Under Bending Conditions Open
The bending-driven failure test is a reliable and efficient method for evaluating the quality and load-bearing capacity of thermal barrier coatings (TBCs). This study utilizes the discrete element method (DEM) to examine the damage evoluti…
View article: Discrete Element Modeling of Fracture Behavior and Stress Analyses in Thermal Barrier Coatings During Wear Tests
Discrete Element Modeling of Fracture Behavior and Stress Analyses in Thermal Barrier Coatings During Wear Tests Open
Thermal barrier coatings (TBCs) are extensively used in various industrial applications due to their high-temperature thermal insulation and environmental protection when applied to the surfaces of engine components. Wear and frictional be…
View article: A Theory for Conditional Generative Modeling on Multiple Data Sources
A Theory for Conditional Generative Modeling on Multiple Data Sources Open
The success of large generative models has driven a paradigm shift, leveraging massive multi-source data to enhance model capabilities. However, the interaction among these sources remains theoretically underexplored. This paper takes the …
View article: Discrete Fracture Network (DFN) as an Effective Tool to Study the Scale Effects of Rock Quality Designation Measurements
Discrete Fracture Network (DFN) as an Effective Tool to Study the Scale Effects of Rock Quality Designation Measurements Open
Rock quality designation (RQD) is a parameter that describes rock mass quality in terms of percentage recovery of core pieces greater than 10 cm. The RQD represents a basic element of several classification systems. This paper studies scal…
View article: On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability Open
Autoregressively trained transformers have brought a profound revolution to the world, especially with their in-context learning (ICL) ability to address downstream tasks. Recently, several studies suggest that transformers learn a mesa-op…
View article: A Machine Learning-Based Platform for Dye Solubility in Supercritical Carbon Dioxide: Classification Optimization and Predictive Analysis
A Machine Learning-Based Platform for Dye Solubility in Supercritical Carbon Dioxide: Classification Optimization and Predictive Analysis Open
View article: ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond
ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond Open
This paper presents \emph{ControlVideo} for text-driven video editing -- generating a video that aligns with a given text while preserving the structure of the source video. Building on a pre-trained text-to-image diffusion model, ControlV…
View article: Study on the Decontamination Effect of Biochar-Constructed Wetland under Different Hydraulic Conditions
Study on the Decontamination Effect of Biochar-Constructed Wetland under Different Hydraulic Conditions Open
To explore the purification effect of biochar-constructed wetlands on rural domestic sewage, six types of biochar-constructed wetlands were constructed for experiments. Under different hydraulic conditions, the removal effects of each bioc…
View article: Recent progress of MOF-derived porous carbon materials for microwave absorption
Recent progress of MOF-derived porous carbon materials for microwave absorption Open
MOF-derived PC materials with unique characteristic have been widely concerned as microwave absorbers over the years.
View article: 1D flower-like Fe3O4@SiO2@MnO2 nanochains inducing RGO self-assembly into aerogels for high-efficient microwave absorption
1D flower-like Fe3O4@SiO2@MnO2 nanochains inducing RGO self-assembly into aerogels for high-efficient microwave absorption Open
View article: Biowaste-derived 3D honeycomb-like N and S dual-doped hierarchically porous carbons for high-efficient CO<sub>2</sub> capture
Biowaste-derived 3D honeycomb-like N and S dual-doped hierarchically porous carbons for high-efficient CO<sub>2</sub> capture Open
We proposed a facile and cost-effective strategy to prepare N/S dual-doped carbons with abundant micropores of 2 capture.
View article: Application and Analysis of Different Evaluation Methods in Water Quality Evaluation of Jinxiuchuan Reservoir
Application and Analysis of Different Evaluation Methods in Water Quality Evaluation of Jinxiuchuan Reservoir Open
At present, there are many water quality assessment methods. How to screen suitable methods for scientific evaluation of water quality is a basic and important work in environmental protection. In this study, based on the water quality mon…
View article: Soil-pit Method for Distribution and Leaching Loss of Nitrogen in Winter Wheat’s Soil, Weishan Irrigation District
Soil-pit Method for Distribution and Leaching Loss of Nitrogen in Winter Wheat’s Soil, Weishan Irrigation District Open
Unreasonable application of irrigation and fertilizer will cause the waste of water and nitrogen and environmental pollution. In this paper, a series of soil-pit experiments were carried out to study the distribution and leaching loss of n…
View article: Study of scale effects of rock quality designation (RQD) measurements using a discrete fracture network approach
Study of scale effects of rock quality designation (RQD) measurements using a discrete fracture network approach Open
RQD measurements are performed on the assumption that the drilling cores of the rock mass would be representative of in situ geological conditions. This thesis focuses on the use of Discrete Fracture Network (DFN) modelling to study the in…