‪MIT‬ - ‪‪Cited by 18,637‬‬ - ‪integrated photonics‬ - ‪silicon photonics‬ - ‪chalcogenide glass‬ - ‪metasurfaces‬ - ‪phase change materials‬

Professor Hu's research group's main research theme focuses on novel materials and devices to exploit interactions of light with matter. Their work covers a wide spectrum of applications including:

Our recent structural and biochemical studies of atlastin provided first insight into the mechanism underlying ER fusion. We aim to use combined approaches to further investigate the mechanism and regulation of the tubular ER network formation.

‪The Chinese University of Hong Kong (Shenzhen), Tohoku University‬ - ‪‪引用次数：1,236 次‬‬ - ‪Computer vision‬ - ‪Robotics‬ - ‪Embodied AI‬

Jun Hu, Finite element approximations of symmetric tensors on simplicial grids in any dimension: the higher order case, J. Comput. Math., 33 (2015), pp. 283--296. Jun Hu, A new family...

Chemistry Division, Argonne National Laboratory, Argonne, IL, USA. Publication Topics.

The Juejun Hu Research Group at the Massachusetts Institute of Technology (MIT) focuses on novel materials and devices for exploiting interactions of light with matter.

‪Beihang University‬ - ‪‪Cited by 3,931‬‬ - ‪Computer Vision‬ - ‪Pattern Recognition‬ - ‪Biometrics‬

2024年1月3日 · Here, a successful in situ synthesis of FeCoNiMnCr high-entropy alloy (HEA) and high-entropy oxide (HEO) heterocatalysts via a Cr-induced spontaneous reconstruction strategy is reported, and it is demonstrated that they deliver excellent ultrastable OER electrocatalytic performance with a low overpotential of 320 mV at 500 mA cm −2 and a negligi...

My research goal is to build robust intelligent AI agents that adapt rapidly to dynamic environments and communicate effectively with people speaking different languages. In particular, my research focuses on algorithmic design and fundamental understanding of machine learning models in NLP that enable safe deployment in the wild.