323 citations
- Chinese Academy of SciencesCN151 papers
- Institute of Modern PhysicsCN126 papers
- Purdue University West LafayetteUS123 papers
- Frankfurt Institute for Advanced StudiesDE112 papers
- Fudan UniversityCN105 papers
- Central China Normal UniversityCN103 papers
- Michigan State UniversityUS100 papers
- Tsinghua UniversityCN99 papers
- Texas A&M UniversityUS98 papers
- University of Science and Technology of ChinaCN98 papers
- Variable Energy Cyclotron CentreIN95 papers
- Lawrence Berkeley National LaboratoryUS94 papers
405 papers
Direct Realization of Near-Ideal Carbyne in Ultrathin Boron Nitride Nanotubes
Iryna Ivanenko, Pietro Marabotti, Yifan Zhang +8
Carbyne, the sp-hybridized one-dimensional allotrope of carbon, is predicted to be the stiffest known material, with electronic and optical properties set by a single structural pa…
Nonreciprocal photon bundle emission
Baijun Li, Jing-Xue Liu, Tian-Xiang Lu +3
Quantum squeezing, a cornerstone of quantum optics and photonics, has played a key role in achieving ultra-precision sensing and realizing nonreciprocal engineering. However, the n…
Synergistic Blood Pressure Estimation via Contactless mmWave Radar and Imaging Photoplethysmography: A Feasibility Study
Boyuan Gu, Haiyang Sun, Yongjie Liu +3
Continuous, non-contact blood pressure (NCBP) monitoring holds significant promise for pervasive cardiovascular care, yet single-modality approaches -- such as imaging photoplethys…
GUP-corrected black holes: Thermodynamic properties, evaporation time and shadow constraint from EHT Observations of M87* and Sgr A*
H. Chen, S. -H. Dong, E. Maghsoodi +4
In this manuscript, we implement the generalized uncertainty principle (GUP) with linear and quadratic moment for Schwarzschild black hole metric in order to study the influence of…
Generalized Global Self-Optimizing Control for Chemical Processes: Part II Objective-Guided Controlled Variable Learning Approach
Chenchen Zhou, Hongxin Su, Xinhui Tang +3
Self-optimizing control (SOC) aims to maintain near-optimal process operation by judiciously selecting controlled variables (CVs). In this series of work, the generalized global SO…
Slack More, Predict Better: Proximal Relaxation for Probabilistic Latent Variable Model-based Soft Sensors
Zehua Zou, Yiran Ma, Yulong Zhang +5
Nonlinear Probabilistic Latent Variable Models (NPLVMs) are a cornerstone of soft sensor modeling due to their capacity for uncertainty delineation. However, conventional NPLVMs ar…