Recently, Professor Huang Huolin's team from the School of Optoelectronic Engineering and Instrument Science has made significant progress in the field of third-generation semiconductor gallium nitride (GaN) magnetic sensors. They have taken the lead in developing a three-dimensional magnetic sensor chip that can operate stably in a wide temperature range of 1.9 K~673K internationally, and further developed high-precision domestic magnetic detection instruments and a series of downstream products. This technology breaks through industry bottlenecks such as high temperature failure, large linearity error, and small working bandwidth of traditional magnetic sensors, providing breakthrough solutions for high-precision magnetic field detection, target tracking, velocity/displacement sensing, and current detection in aerospace, deep-sea exploration, smart healthcare, intelligent manufacturing, robotics, and other fields.

With the rapid development of flexible electronics, wearable devices, medical monitoring, and robotics technology, the demand for flexible pressure sensors is constantly increasing, and the performance requirements are becoming increasingly stringent. Among the various working mechanisms of pressure sensors, resistive pressure sensors are highly favored due to their high sensitivity, simple structure, stable signal, and ease of manufacturing.

The continuous transformation of information technologies such as artificial intelligence (AI), big data, cloud computing, 5G/6G communication, and digital health has profoundly redefined our interaction with the physical world, making human life more interconnected and intelligent.

Early diagnosis and precise monitoring of malignant tumors are core challenges in clinical medicine and basic research. Carcinoembryonic antigen (CEA) is a key tumor marker for colorectal cancer, gastric cancer, breast cancer and other solid tumors. The ultra sensitive detection of CEA has important clinical value for early screening, efficacy evaluation, and personalized treatment strategy formulation. Photoelectrochemical (PEC) biosensing technology has become an emerging platform for tumor biomarker analysis due to its high signal-to-noise ratio (low background interference) and single photon level detection sensitivity. It generates stable electrochemical signals by driving the generation, separation, and transfer of photo generated carriers through light energy. However, existing PEC technologies face three bottlenecks:

n the field of modern precision measurement and automation control, micro eddy current displacement sensors have become indispensable key components due to their unique technological advantages. This sensor is based on the eddy current effect and can achieve non-contact high-precision displacement measurement, playing an important role in many fields such as industrial production, scientific research, aerospace, etc.

Implantable deep brain probes (DBPs) are an important component of brain computer interfaces that facilitate direct interaction between neural tissue and the external environment. Currently, most multifunctional DBPs used for sensing and regulating the nervous system are manufactured through thermal gradient reduction of polymer materials. However, this method still faces challenges such as how to choose materials that can adapt to the thermal stretching process and match the modulus of brain tissue.