Overcoming systematic softening in universal machine learning interatomic potentials by fine-tuning

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Bowen Deng, Yunyeong Choi, Peichen Zhong, Janosh Riebesell, Shashwat Anand | Summary: Machine learning interatomic potentials (MLIPs) have introduced a new paradigm for atomic simulations. Recent advancements have seen the emergence of universal MLIPs (uMLIPs) that are pre-trained on diverse materials datasets, providing opportunities for both […]


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LogoMotion: Visually Grounded Code Generation for Content-Aware Animation

Kavli Affiliate: Matthew Fisher | First 5 Authors: Vivian Liu, Rubaiat Habib Kazi, Li-Yi Wei, Matthew Fisher, Timothy Langlois | Summary: Animated logos are a compelling and ubiquitous way individuals and brands represent themselves online. Manually authoring these logos can require significant artistic skill and effort. To help novice designers animate logos, design tools currently […]


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Super-Resolving Blurry Images with Events

Kavli Affiliate: Xiang Zhang | First 5 Authors: Chi Zhang, Mingyuan Lin, Xiang Zhang, Chenxu Jiang, Lei Yu | Summary: Super-resolution from motion-blurred images poses a significant challenge due to the combined effects of motion blur and low spatial resolution. To address this challenge, this paper introduces an Event-based Blurry Super Resolution Network (EBSR-Net), which […]


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Simons Observatory: Pre-deployment Performance of a Large Aperture Telescope Optics Tube in the 90 and 150 GHz Spectral Bands

Kavli Affiliate: Jeffrey J. McMahon | First 5 Authors: Carlos E. Sierra, Kathleen Harrington, Shreya Sutariya, Thomas Alford, Anna M. Kofman | Summary: The Simons Observatory will map the temperature and polarization over half of the sky, at millimeter wavelengths in six spectral bands from the Atacama Desert in Chile. These data will provide new […]


Continue.. Simons Observatory: Pre-deployment Performance of a Large Aperture Telescope Optics Tube in the 90 and 150 GHz Spectral Bands