Modular DNA origami-based electrochemical detection of DNA and proteins

Kavli Affiliate: Paul W. K. Rothemund | First 5 Authors: Byoung-jin Jeon, Matteo M. Guareschi, Jaimie M. Stewart, Emily Wu, Ashwin Gopinath | Summary: The diversity and heterogeneity of biomarkers has made the development of general methods for single-step quantification of analytes difficult. For individual biomarkers, electrochemical methods that detect a conformational change in an […]


Continue.. Modular DNA origami-based electrochemical detection of DNA and proteins

Modular DNA origami-based electrochemical detection of DNA and proteins

Kavli Affiliate: Paul W. K. Rothemund | First 5 Authors: Byoung-jin Jeon, Matteo M. Guareschi, Jaimie M. Stewart, Emily Wu, Ashwin Gopinath | Summary: The diversity and heterogeneity of biomarkers has made the development of general methods for single-step quantification of analytes difficult. For individual biomarkers, electrochemical methods that detect a conformational change in an […]


Continue.. Modular DNA origami-based electrochemical detection of DNA and proteins

Wigner Molecular Crystals from Multi-electron Moiré Artificial Atoms

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Hongyuan Li, Ziyu Xiang, Aidan P. Reddy, Trithep Devakul, Renee Sailus | Summary: Semiconductor moir’e superlattices provide a versatile platform to engineer new quantum solids composed of artificial atoms on moir’e sites. Previous studies have mostly focused on the simplest correlated quantum solid – the Fermi-Hubbard […]


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Wigner Molecular Crystals from Multi-electron Moiré Artificial Atoms

Kavli Affiliate: Alex Zettl | First 5 Authors: Hongyuan Li, Ziyu Xiang, Aidan P. Reddy, Trithep Devakul, Renee Sailus | Summary: Semiconductor moir’e superlattices provide a versatile platform to engineer new quantum solids composed of artificial atoms on moir’e sites. Previous studies have mostly focused on the simplest correlated quantum solid – the Fermi-Hubbard model […]


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Adaptive Annotation Distribution for Weakly Supervised Point Cloud Semantic Segmentation

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li | Summary: Weakly supervised point cloud semantic segmentation has attracted a lot of attention due to its ability to alleviate the heavy reliance on fine-grained annotations of point clouds. However, in practice, sparse annotation usually exhibits a […]


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Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations

Kavli Affiliate: Wei Gao | First 5 Authors: Zhiyi Pan, Nan Zhang, Wei Gao, Shan Liu, Ge Li | Summary: Utilizing uniformly distributed sparse annotations, weakly supervised learning alleviates the heavy reliance on fine-grained annotations in point cloud semantic segmentation tasks. However, few works discuss the inhomogeneity of sparse annotations, albeit it is common in […]


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Optomechanical methodology for characterizing the thermal properties of 2D materials

Kavli Affiliate: Herre S. J. Van Der Zant | First 5 Authors: Hanqing Liu, Hatem Brahmi, Carla Boix-Constant, Herre S. J. van der Zant, Peter G. Steeneken | Summary: Heat transport in two-dimensions is fundamentally different from that in three dimensions. As a consequence, the thermal properties of 2D materials are of great interest, both […]


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Image and Data Mining in Reticular Chemistry Using GPT-4V

Kavli Affiliate: Omar M. Yaghi | First 5 Authors: Zhiling Zheng, Zhiguo He, Omar Khattab, Nakul Rampal, Matei A. Zaharia | Summary: The integration of artificial intelligence into scientific research has reached a new pinnacle with GPT-4V, a large language model featuring enhanced vision capabilities, accessible through ChatGPT or an API. This study demonstrates the […]


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Programmable patchy particles for materials design

Kavli Affiliate: Michael P. Brenner | First 5 Authors: Ella M. King, Chrisy Xiyu Du, Qian-Ze Zhu, Samuel S. Schoenholz, Michael P. Brenner | Summary: Direct design of complex functional materials would revolutionize technologies ranging from printable organs to novel clean energy devices. However, even incremental steps towards designing functional materials have proven challenging. If […]


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Scientific Preparation for CSST: Classification of Galaxy and Nebula/Star Cluster Based on Deep Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Yuquan Zhang, Zhong Cao, Feng Wang, Lam, Man I | Summary: The Chinese Space Station Telescope (abbreviated as CSST) is a future advanced space telescope. Real-time identification of galaxy and nebula/star cluster (abbreviated as NSC) images is of great value during CSST survey. While recent research on […]


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