6 papers
Machine Learning of Topological Insulator and Anderson Insulator in One-Dimensional Extended Su-Schrieffer-Heeger Chain
Zhekai Yin, C. K. Ong
We study disorder effects in the extended Su-Schrieffer-Heeger (SSH) model using a convolutional neural network (CNN) trained on reduced correlation matrices (RCMs) of disorder-fre…
Low-Energy, Octave-Spanning Supercontinuum Generation in Ta_2O_5 Waveguides: Towards Optical Coherence Metrology
Yanyan Zhang, Qin Xie, Xiaoqing Chen +1
Supercontinuum generation (SCG) on integrated photonic platforms is a pivotal technology for developing next-generation chip-scale systems for precision spectroscopy and metrology.…
Photonic spiking reinforcement learning for intelligent routing
Shuiying Xiang, Yonghang Chen, Ling Zheng +8
Intelligent routing plays a key role in modern communication infrastructure, including data centers, computing networks, and future 6G networks. Although reinforcement learning (RL…
A 1.431-Competitive Algorithm for Combinatorial Group Testing
Jun Wu, Yongxi Cheng, Zhen Yang +2
In the context of fault-detection problems, the objective is to identify all defective items among a set of binary-state items using the minimum number of tests. The {group tes…
ProME: An Integrated Computational Platform for Material Properties at Extremes and Its Application in Multicomponent Alloy Design
Xingyu Gao, William Yi Wang, Xin Chen +8
We have built an integrated computational platform for material properties at extreme conditions, ProME (Professional Materials at Extremes) v1.0, which enables integrated calculat…
Angstrom-scale ionic streaming when electrical double-layer concept fails
Jiajia Lu, Shuyong Luan, Shenghui Guo +3
A knowledge gap exists for flows and transport phenomena at the Angstrom scale when the Poisson Nernst Planck equation based on the concept of electrical double layer (EDL) fails.…