A5032718920- Glass properties and applications
- Recycling and utilization of industrial and municipal waste in materials production
- Nuclear materials and radiation effects
- Dental materials and restorations
- Dental Implant Techniques and Outcomes
- Geochemistry and Geologic Mapping
- Phase-change materials and chalcogenides
- Remote Sensing and LiDAR Applications
- Pigment Synthesis and Properties
- Periodontal Regeneration and Treatments
- Photonic Crystals and Applications
- Ethics and Social Impacts of AI
- Functional Brain Connectivity Studies
- Radiomics and Machine Learning in Medical Imaging
- Structural Analysis of Composite Materials
- Advanced Neuroimaging Techniques and Applications
- Advanced ceramic materials synthesis
- Cultural Heritage Materials Analysis
- Advanced Control Systems Optimization
- AI in cancer detection
- Explainable Artificial Intelligence (XAI)
- Material Dynamics and Properties
- Reading and Literacy Development
- Clay minerals and soil interactions
- Aeolian processes and effects
Rutgers, The State University of New Jersey
2021-2024
Second People's Hospital of Yunnan Province
2024
Jiangsu Normal University
2022
Tsinghua University
2021
University of California, Los Angeles
2019
Abstract The application of machine learning to predict materials’ properties usually requires a large number consistent data for training. However, experimental datasets high quality are not always available or self-consistent. Here, as an alternative route, we combine with high-throughput molecular dynamics simulations the Young’s modulus silicate glasses. We demonstrate that this combined approach offers good and reliable predictions over entire compositional domain. By comparing...
ou non, émanant des établissements d'enseignement et de recherche français étrangers, laboratoires publics privés.
The U.S. Department of Energy is considering implementing the direct feed approach for vitrification low-activity waste (LAW) and high-level (HLW) at Hanford site in Washington state. If implemented, nuclear with a higher concentration alkali/alkaline-earth sulfates (than expected under previously proposed scheme) will be sent to facility. It difficult existing empirical models predict sulfate solubility these glasses or design glass formulations enhanced loadings such scenario. Further, are...
Abstract If the direct feed approach to vitrify Hanford's tank waste is implemented, low activity (LAW) will comprise higher concentrations of alkali/alkaline‐earth sulfates than expected under previously proposed vitrification scheme. To ensure a minimal impact sulfate on downstream operations and overall cost vitrification, advanced glass formulations with enhanced loadings (solubility) are needed. While, current solubility predictive models have been successful in designing LAW glasses...
Abstract Owing to its good chemical and thermal durabilities at high temperatures, Monofrax K‐3 refractory is widely used in nuclear waste vitrification as a lining material melting vessels. However, the corrosion of during serious problem because it affects melter's safety, performance, lifetime. Therefore, present study, we have focused on unearthing impact glass network formers, such SiO 2 , B O 3 Al model composition refractory. The tests been performed per ASTM C621 1150°C for 5 days....
In this work, we aimed to generate a comprehensive parcellation of the human neonatal cortex based on multi-modal MRI features. We collected dataset from developing connectome project and estimated ten different features calculate similarity between locations in cortex. developed an automated algorithm gradient integrated map parcellations at resolutions. also provided manual multimodal for higher anatomical interpretability. The present work may facilitate structural-functional analysis...
<title>Abstract</title> <bold>Background</bold>: Accurate assessment of the risk distant metastasis head and neck squamous cell carcinoma (HNSCC) is important for development personalized treatment prognosis. The purpose this study was to explore factors HNSCC establish a predictive model using machine learning methods. <bold>Materials methods:</bold> We designed retrospective cross-sectional with cohort from SEER database (affiliated National Cancer Institute). A total 31,060 cases cancer...
Soil roughness is important for characterizing soil surface, and plays an role in many land surface models. Previous studies have proposed methods to describe model roughness. In this study, we use a simple way measure try find simpler method estimate it. We ploughed farmland with inelastic soft rope as invention patent says, then capture the photographs corresponding measured field points. Our philosophy that causes shadows photo, so can be used invert First, binarize digital images...
The transition of dental ceramics and glass-ceramics (for fixed all-ceramics metal-ceramics restorations prostheses) from laboratory to clinic requires the materials pass through a series tests following protocols requirements discussed in standard ISO 6872:2015. However, literature reveals that researchers community usually do not adhere standard's specifications when measuring their materials' flexural strength, assuming these deviations exhibit minimal or no impact on strength. Therefore,...
Controversies have always existed in research related to reading abilities; on whether printed words are perceived a feedforward manner based orthographic information after which, other representations, such as phonology and semantics activated, or these fully interactive high-level semantic affects early processing. An interference paradigm was implemented the presented protocol of phonological judgment tasks that utilized same precede-target pairs explore relative order activation. The...