Qinghua Peng

Humidity resistant room temperature H2S sensor via surface-adsorbed oxygen modulation of ReS2 nano-film

Qinghua Peng, Yuexing Zhang, Wenlin Feng, Xiaozhan Yang et autres

cn (code pays fourni par la source)

Alibaba Stellar: A New Generation RDMA Network for Cloud AI

Jie Lu, Jiaqi Gao, Fei Feng, Zhiqiang Hé et autres

The rapid adoption of Large Language Models (LLMs) in cloud environments has intensified the demand for high-performance AI training and inference, where Remote Direct Memory Access (RDMA) plays a critical role. However, existing RDMA virtualization solutions, such as Single-Root Input/Output Virtualization (SR-IOV), …

cn, us (code pays fourni par la source)

Customized development of promising Cu-Cr-Ni-Co-Si alloys enabled by integrated machine learning and characterization

Shaobin Pan, Jinxin Yu, Jiajia Han, Yanqing Zhang et autres

cn (code pays fourni par la source)

Machine Learning Assisted Prediction of Microstructures and Young’s Modulus of Biomedical Multi-Component β-Ti Alloys

Xingjun Liu, Qinghua Peng, Shaobin Pan, Jingtao Du et autres

Recently, the development of β-titanium (Ti) alloys with a low Young’s modulus as human implants has been the trend of research in biomedical materials. However, designing β-titanium alloys by conventional experimental methods is too costly and inefficient. Therefore, it is necessary to …

cn (code pays fourni par la source)

Machine learning-guided design and development of metallic structural materials

Jinxin Yu, Shengkun Xi, Shaobin Pan, Yongjie Wang et autres

In recent years, the advent of machine learning (ML) in materials science has provided a new tool for accelerating the design and discovery of new materials with a superior combination of mechanical properties for structural applications. In this review, we provide a …

cn (code pays fourni par la source)