In situ coherent X-ray scattering reveals polycrystalline structure and discrete annealing events in strongly-coupled nanocrystal superlattices

Posted by dbos Berkeley

Kavli Affiliate: Naomi S. Ginsberg | First 5 Authors: Matthew J. Hurley, Christian P. N. Tanner, Joshua Portner, James K. Utterback, Igor Coropceanu | Summary: Solution-phase bottom up self-assembly of nanocrystals into superstructures such as ordered superlattices is an attractive strategy to generate functional materials of increasing complexity, including very recent advances that incorporate strong […]


Continue.. In situ coherent X-ray scattering reveals polycrystalline structure and discrete annealing events in strongly-coupled nanocrystal superlattices

Nanofluidic platform for studying the first-order phase transitions in superfluid helium-3

Posted by dbos Cornell

Kavli Affiliate: Jeevak M. Parpia | First 5 Authors: Petri J. Heikkinen, Nathan Eng, Lev V. Levitin, Xavier Rojas, Angadjit Singh | Summary: The symmetry-breaking first-order phase transition between superfluid phases $^3$He-A and $^3$He-B can be triggered extrinsically by ionising radiation or heterogeneous nucleation arising from the details of the sample cell construction. However, the […]


Continue.. Nanofluidic platform for studying the first-order phase transitions in superfluid helium-3

Nanofluidic platform for studying the first-order phase transitions in superfluid helium-3

Posted by dbos Cornell

Kavli Affiliate: Jeevak M. Parpia | First 5 Authors: Petri J. Heikkinen, Nathan Eng, Lev V. Levitin, Xavier Rojas, Angadjit Singh | Summary: The symmetry-breaking first-order phase transition between superfluid phases $^3$He-A and $^3$He-B can be triggered extrinsically by ionising radiation or heterogeneous nucleation arising from the details of the sample cell construction. However, the […]


Continue.. Nanofluidic platform for studying the first-order phase transitions in superfluid helium-3

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu | Summary: We introduce Deformable Convolution v4 (DCNv4), a highly efficient and effective operator designed for a broad spectrum of vision applications. DCNv4 addresses the limitations of its predecessor, DCNv3, with two key enhancements: 1. removing softmax […]


Continue.. Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications

AstroInformatics: Recommendations for Global Cooperation

Posted by dbos Caltech

Kavli Affiliate: Rana Adhikari | First 5 Authors: Ashish Mahabal, Pranav Sharma, Rana Adhikari, Mark Allen, Stefano Andreon | Summary: Policy Brief on "AstroInformatics, Recommendations for Global Collaboration", distilled from panel discussions during S20 Policy Webinar on Astroinformatics for Sustainable Development held on 6-7 July 2023. The deliberations encompassed a wide array of topics, including […]


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LightHouse: A Survey of AGI Hallucination

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, , , , | Summary: With the development of artificial intelligence, large-scale models have become increasingly intelligent. However, numerous studies indicate that hallucinations within these large models are a bottleneck hindering the development of AI research. In the pursuit of achieving strong artificial intelligence, a […]


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Re:Draw — Context Aware Translation as a Controllable Method for Artistic Production

Posted by dbos Delft

Kavli Affiliate: Michael Wimmer | First 5 Authors: Joao Liborio Cardoso, Francesco Banterle, Paolo Cignoni, Michael Wimmer, | Summary: We introduce context-aware translation, a novel method that combines the benefits of inpainting and image-to-image translation, respecting simultaneously the original input and contextual relevance — where existing methods fall short. By doing so, our method opens […]


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ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation

Posted by dbos Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Xinyang Pu, Hecheng Jia, Linghao Zheng, Feng Wang, Feng Xu | Summary: In the realm of artificial intelligence, the emergence of foundation models, backed by high computing capabilities and extensive data, has been revolutionary. Segment Anything Model (SAM), built on the Vision Transformer (ViT) model with millions […]


Continue.. ClassWise-SAM-Adapter: Parameter Efficient Fine-tuning Adapts Segment Anything to SAR Domain for Semantic Segmentation

Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

Posted by dbos Berkeley

Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]


Continue.. Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer

Posted by dbos Berkeley

Kavli Affiliate: David T. Limmer | First 5 Authors: Thomas P. Fay, David T. Limmer, , , | Summary: Triplet excited state generation plays a pivotal role in photosensitizers, however the reliance on transition metals and heavy atoms can limit the utility of these systems. In this study, we demonstrate that an interplay of competing […]


Continue.. Unraveling the mechanisms of triplet state formation in a heavy-atom free photosensitizer