Si Chen is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Chemistry & Biology. The author has an hindex of 33, co-authored 139 publications. Previous affiliations of Si Chen include Food and Drug Administration & …

Jan 1, 2020 · In this work, we prepared an egg-like structure composite consisting of Si, Si 3 N 4, and highly graphitized carbon (denoted as Si@Si 3 N 4 @C), through a direct surface-nitrification process followed by chemical vapor deposition (CVD) for carbon growth.

Y. Yuan, S. Chen, T. Paunesku, S.-C. Gleber, W. Liu, C.B. Doty, R. Mak, J. Deng, Q. Jin, B. Lai, K. Brister, C. Flachenecker, C. Jacobsen, S. Vogt, and G. Woloschak, “EGFR Targeted Nuclear Delivery and High Resolution Whole Cell Hard X-ray Imaging of Fe3O4@TiO2 Nanoparticles in Cancer Cells”, ACS Nano, 7(12), 10502-10507 (2013).

May 17, 2023 · "We had known from earlier research that zinc played an important role in fertilization, but this new research shows that it's involved way before egg meets sperm," said Argonne staff scientist...

Si CHEN, Physicist | Cited by 2,140 | of Argonne National Laboratory, Illinois (ANL) | Read 101 publications | Contact Si CHEN

Fertilization of a mammalian egg initiates a series of 'zinc sparks' that are necessary to induce the egg-to-embryo transition. Despite the importance of these zinc-efflux events little is known about their origin.

May 20, 2021 · We identified 53 differentially expressed mRNAs (DEGs) and 40 differentially expressed long non-coding RNAs (DELs) between the two estrus states. Functional annotation analysis revealed that one of the DEGs, PRL, was particularly enriched in the hypothalamic function, hormone-related, and reproductive pathways.

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RJ Si Chen, Yi Zeng, Jiachen T.Wang, Won Park, Xun Chen, Lingjuan Lyu ... arXiv preprint arXiv:2206.07018v3, 2023. 3 * 2023: Data-centric defense: Shaping loss landscape with augmentations to counter model inversion. S Chen, F Kang, N Abhyankar, M Jin, R Jia. Transactions on Machine Learning Research, 2023. 2:

My research focus on Trustworthy Machine Learning and Data Valuation. I am especially interested in exploring and enhancing privacy in advanced Artificial Intelligence, specifically in the realms of Computer Vision (CV) and Natural Language Processing (NLP).