Professor Sohee Jeong and her research team at Sungkyunkwan University discovered a chemical pathway for the controlled synthesis of III–V semiconductor quantum dots [1, 2].
This breakthrough allows for the production of high-quality nanocrystals with precise size control, which is essential for developing advanced infrared technologies. The ability to reliably manufacture these materials could accelerate the deployment of more accurate sensors in critical safety and surveillance systems [1, 2].
The research team in Suwon, South Korea, focused on the short-wave infrared (SWIR) region, which roughly spans one to three µm [1]. These quantum dots are designed for next-generation optoelectronics, providing a more reliable route to synthesis than previous methods [1, 2].
"Our discovery provides a reliable chemical route to synthesize high‑quality III‑V quantum dots with precise size control," Jeong said [1].
The implications of this discovery extend to several high-tech industries. The team identified that these materials are particularly suited for autonomous-driving sensors and night-vision devices [1, 2]. By controlling the size of the quantum dots, researchers can tune the materials to specific infrared wavelengths, a necessity for high-precision sensing [1].
"These nanocrystals open new possibilities for infrared sensors that are crucial for autonomous‑driving and night‑vision technologies," Lee said [2].
The findings were announced this week on May 19, 2026 [1]. The team's work addresses a long-standing challenge in semiconductor chemistry by establishing a repeatable process for III–V materials, which are often more difficult to synthesize than traditional II–VI semiconductors [1, 2].
“"Our discovery provides a reliable chemical route to synthesize high‑quality III‑V quantum dots with precise size control"”
The ability to precisely control the size of III–V quantum dots allows engineers to 'tune' sensors to specific light frequencies. This precision is a prerequisite for the next generation of LiDAR and night-vision systems, potentially reducing errors in autonomous vehicle navigation and improving the clarity of infrared imaging in low-light environments.
