Jianhua Zhao

1. Anomalous resistivity upturn in epitaxial L21-Co2MnAl films
   2016/11/12 by Lijun Zhu, Zhu, L. J., Jianhua Zhao +1 · 2 citations
   Materials Science · Physics and Astronomy · #FOS: Physical sciences #Heusler alloys: electronic and magnetic properties #Magnetic and transport properties of perovskites and related materials #Magnetic properties of thin films #Materials Science (cond-mat.mtrl-sci)
2. Spatially resolved analysis and minimization of resistive losses in high-efficiency Si solar cells
   1996/11/01 by Pietro P. Altermatt, Gernot Heiser, Armin G. Aberle +6 · 1 citation
   Energy · Engineering · #Photovoltaic System Optimization Techniques #Silicon and Solar Cell Technologies #solar cell performance optimization
3. Chirality-Induced Magnet-Free Spin Generation in a Semiconductor
   2024/03/27 by Tianhan Liu, Yuwaraj Adhikari, Liu, Tianhan +21 · 2 citations
   Computer Science · Physics and Astronomy · #FOS: Physical sciences #Magnetic properties of thin films #Materials Science (cond-mat.mtrl-sci) #Matrix Theory and Algorithms #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Quantum Physics (quant-ph) #Quantum and electron transport phenomena
4. A novel robust meta-analysis model using the t distribution for outlier accommodation and detection
   2024/06/06 by Yue Wang, Wang, Yue, Jianhua Zhao +7 · 1 citation
   Computer Science · #62P10 #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #I.2.6 #Machine Learning (stat.ML) #Methodology (stat.ME)
5. Gate Tunable Josephson Diode Effect in Josephson Junctions made from InAs Nanosheets
   2025/01/26 by Shili Yan, Yan, Shili, Yi Luo +15 · 2 citations
   Physics and Astronomy · Engineering · #Mechanical and Optical Resonators #Photonic and Optical Devices #Force Microscopy Techniques and Applications
6. Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
   2024/08/09 by Yunhui Liu, Liu, Yunhui, Huaisong Zhang +7 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies