961 citations
- Nankai UniversityCN60 papers
- Chinese Academy of SciencesCN35 papers
- Tsinghua UniversityCN28 papers
- National University of SingaporeSG23 papers
- Peking UniversityCN21 papers
- Nanyang Technological UniversitySG20 papers
- Peng Huanwu Center for Fundamental TheoryCN19 papers
- Centre National de la Recherche ScientifiqueFR15 papers
- City University of Hong KongHK14 papers
- University of Chinese Academy of SciencesCN14 papers
- University of Science and Technology of ChinaCN14 papers
- Shandong UniversityCN13 papers
13 papers · 1 filter
Reflections on future problems in cluster science
K. Hansen, V. V. Kresin, R. Alhyder +22
This article is a collection of contributions from speakers at the 2025 DEAMN [Dynamics of Electrons in Atomic and Molecular Nanoclusters] workshop at the Majorana Centre in Erice.…
Unleashing the Agility of Wheeled-Legged Robots for High-Dynamic Reflexive Obstacle Evasion
Yongen Zhao, Zihao Xu, Wenzhi Lu +2
Wheeled-legged robots combine the energy efficiency of wheeled locomotion with the terrain adaptability of legged systems, making them promising platforms for agile mobility in com…
Effects of gas diffusion layer thickness on PEM fuel cells with composite foam-rib flow fields
Wei Gao, Qifeng Li, Kai Sun +3
Gas diffusion layers (GDLs) play a crucial role for the performance of proton exchange membrane fuel cells (PEMFCs). The utilization of composite foam-rib flow fields (CFRFFs) can…
Data Mixing for Large Language Models Pretraining: A Survey and Outlook
Zhuo Chen, Yuxuan Miao, Supryadi +1
Large language models (LLMs) rely on pretraining on massive and heterogeneous corpora, where training data composition has a decisive impact on training efficiency and downstream g…
FFV-PINN: A Fast Physics-Informed Neural Network with Simplified Finite Volume Discretization and Residual Correction
Chang Wei, Yuchen Fan, Jian Cheng Wong +3
Physics-informed neural networks (PINNs) have emerged as a major research focus. However, today's PINNs encounter several limitations. Firstly, during the construction of the loss…
Dual Contrastive Network for Few-Shot Remote Sensing Image Scene Classification
Zhong Ji, Liyuan Hou, Xuan Wang +2
Few-shot remote sensing image scene classification (FS-RSISC) aims at classifying remote sensing images with only a few labeled samples. The main challenges lie in small inter-clas…