STT-MRAM: scaling down (submicron scale) along with issues of magnetic propertyintegration with semiconductor processing. SOT-MRAM: fundamental understanding on mechanism, integration with STT-MRAMCMOS for readout. VCMA-MRAM: understand the mechanism behind the observable VCMA phenomenon, integration with other RAMs for write/read.

NSRRC, which is one of the worldwide top magnet related design teams, is capable of the magnetic field simulation, mechanism designmagnetic field measurement. Related technologies include electromagnet technology, permanent magnet technology, vacuum technology, low temperature technologysuperconductivity technology.

Gene delivery technology is widely used in cell therapy, nucleic acid-based vaccines, protein production, gene therapy, etc. We have developed a non-viral gene delivery technology-MPGene, which has excellent gene delivery efficiency (50-80) for human mesenchymal stem cells,also has the characteristics of low production costhigh safety. In the future, MPGene has the potential to be used in important biomedical fields such as gene delivery reagents, major trauma cell therapy, malignant tumor treatmentcartilage cell therapy.

In this work, we developed a one-step process for synthesizing carbon nanofibers encapsulated Ni magnetic nanoparticles. The process for CO2 converted to solid carbon can be applied in many fileds

Our IoT of food allergen detection system has high sensitivityspecificity by magnetic nano-beads with advanced material coating. This advanced material successful inhibit biofouling in biosensor system. Other than this, Our system combine nanotechnology, biotechnology, IoTAI model. Device is small any easily carry to anywhere.

We developed a biomimetic triple-antibody-immobilized magnetic fucoidan nanomedicine as a multifunctional artificial antigen presenting cell, which possessed the ability to not only inhibit immune checkpoint but activate tumor infiltrated T cells. of Bridging sites with tunable density on the nanoplatform was designed, allowing the antibodies to be well-distributed on the surface for mimicking immune cells. In contrast to the complex cell expansion process using microbeads in adaptive cell therapy, the nanoplatform can be i.v. administrated to cut the course of therapy from several weeks to days. With the development of the platform technology, an artificial immune system family can be built to pave the way for personalized immunotherapy.

Through the developed internet of inspectionassessment device the digital twin model of specific implant structure can be constructed by using daily collected data besides assessing the osseointegration status of varied stages. The built model may trace the subject’s osseointegration changing. The internet of inspection device can also be applied for the health inspection of tapsdrills. Two types of inspection mechanism, electro-magneticvibro-acoustic, have been implemented in the device. The stability of structure is assessed through the computed frequency response function.

A portablemagnetic surface Raman-enhanced scattering (SERS) nanoparticle arrays platform would be developed for magnetic separationSERS detection of environmental, water,biomolecules samples. It is very simplerapid platform with portable Raman spectroscopy to detect samples (bacteria, virous, water toxicants) after magnetic separation processes, without labelling the fluorescence dye,the limit of detection concentration is lower than 10-8 M.

　　Mobile Magnetic Survey System is composed of 20 precisesensitive magnetic detector arrays, which are used for measuring the 3D magnetic fields. With the LiDAR positioning systemattitude rotation, the magnetic vector field can analyze the magnetic field intensity at different positions. In addition, the visualized map can help users to evaluate the metal body locationdepth.

PCA-BM includes two models: “Automatic BMs Segmentation AI Model”" Distant Brain Failure Prediction Model". The former one uses C2FNAS (coarse to fine network architecture search) to detect the location, size,number of brain metastases. The latter uses radiomics to extract numerous radiographic featuresemploys machine learning methods such as XGBoost to establish a prognostic model of brain metastases. PCA-BM provides more precision treatment decisions for patientsimproves personalizedaccurate overall stereotactic radiosurgery planning.

Our brain waves consist of a lot of nonlinear characteristics. Holo-Hilbert cross-frequency phase clustering (HHCFPC) is a cross-frequency coupling connectivity analysis based on the nonlinear Holo-Hilbert Spectral Analysis (HHSA) method. It is achieved by clustering the vectors of "phase difference" between the phase of a first layer IMF (obtained by HHSA) from one EEG channelthe phase of a second layer IMF from the other EEG channel. The results of HHCFPC can be used as a guide to optimize the parameters (e.g. frequency,frequencydepth of AM) of non-invasive brain stimulations.