Kavli Affiliate: Michael P. Brenner | First 5 Authors: Ella M. King, Chrisy Xiyu Du, Qian-Ze Zhu, Samuel S. Schoenholz, Michael P. Brenner | Summary: Direct design of complex functional materials would revolutionize technologies ranging from printable organs to novel clean energy devices. However, even incremental steps towards designing functional materials have proven challenging. If […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yuquan Zhang, Zhong Cao, Feng Wang, Lam, Man I | Summary: The Chinese Space Station Telescope (abbreviated as CSST) is a future advanced space telescope. Real-time identification of galaxy and nebula/star cluster (abbreviated as NSC) images is of great value during CSST survey. While recent research on […]
Kavli Affiliate: Ke Wang | First 5 Authors: Jiaqi Li, Ke Wang, Yaoguang Chen, Yajin Zhou, Lei Wu | Summary: DBMS bugs can cause serious consequences, posing severe security and privacy concerns. This paper works towards the detection of memory bugs and logic bugs in DBMSs, and aims to solve the two innate challenges, including […]
Kavli Affiliate: Richard Dubois | Summary:The Vera C. Rubin Observatory will produce an unprecedented astronomical data set for studies of the deep and dynamic universe. Its Legacy Survey of Space and Time (LSST) will image the entire southern sky every three to four days and produce tens of petabytes of raw image data and associated […]
Kavli Affiliate: Alex Zettl | Summary:Advanced microelectronics in the future may require semiconducting channel materials beyond silicon. Two-dimensional (2D) semiconductors, characterized by their atomically thin thickness, hold immense promise for high-performance electronic devices at the nanometer scale with lower heat dissipation. One challenge for achieving high-performance 2D semiconductor field effect transistors (FET), especially for p-type […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Jun Xie, Yuqi Zhang, Yu Zhao, | Summary: Improving neural machine translation (NMT) systems with prompting has achieved significant progress in recent years. In this work, we focus on how to integrate multi-knowledge, multiple types of knowledge, into NMT models to enhance the performance with […]