Van der Waals (vdW) ferromagnets are the building blocks of vdW heterostructure devices such as vdW ferromagnetic (FM)-antiferromagnetic (AFM) heterostructure, vdW FM-ferroelectric heterostructure. Those vdW heterostructure devices have attracted a lot of attention due to their promising applications in modern spintronics. However, the interface coupling of vdW heterostructure is weak due to the large vdW gap, which impedes the development of this burgeoning area. How to electrically tune the interface coupling in vdW heterostructure device remains elusive.
In a paper published on ACS Applied Materials & Interfaces recently, a collaborated research team led by Prof. WANG Hui and Prof. ZHANG Xin from High Magnetic Field Laboratory as well as Prof. QIAN Junchao from Institute of Health and Medical Technology, Hefei Institutes of Physical Science (HFIPS) of Chinese Academy of Sciences (CAS) reported a new kind of near-infrared-triggered nanozyme based on iron oxide nanocrystals embedded in N-doped carbon nanosheets (IONCNs) through a solvothermal route and their significant application prospects in synergistic cascade tumor therapy.
Recently, Prof. ZHANG Yongsheng’s research group at Institute of Solid State Physics, Hefei Institutes of Physical Science systematically investigated the thermoelectric (TE) properties of three pyrite-type IIB-VIA2 dichalcogenides (ZnS2, CdS2, and CdSe2), and successfully explored the physical mechanisms and several chemical trends.
According to a paper published in Physical Review X recently, an extensive study on the correlation-topology interlay in moderated correlated electron systems was conducted by Prof. HAO Lin from High Magnetic Field Laboratory, Hefei Institutes of Physical Science (HFIPS) of Chinese Academy of Sciences (CAS), revealed the rich topology-correlation interplay and demonstrated a controllable material platform for such investigations.
Recently, a research team led by Prof.GAO Ge and JIANG Li fromInstitute of Plasma Physics, Hefei Institutes of Physical Science ofChinese Academy of Sciences, studied the fault diagnosis of pulse width modulation converter and proposed a neural network fault diagnosis algorithm to solve existing problem in this field.