Automated discovery of reprogrammable nonlinear dynamic metamaterials

Kavli Affiliate: Katia Bertoldi | First 5 Authors: Giovanni Bordiga, Eder Medina, Sina Jafarzadeh, Cyrill Boesch, Ryan P. Adams | Summary: Harnessing the rich nonlinear dynamics of highly-deformable materials has the potential to unlock the next generation of functional smart materials and devices. However, unlocking such potential requires effective strategies to spatially design optimal material […]


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Bayesian Diffusion Models for 3D Shape Reconstruction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao | Summary: We present Bayesian Diffusion Models (BDM), a prediction algorithm that performs effective Bayesian inference by tightly coupling the top-down (prior) information with the bottom-up (data-driven) procedure via joint diffusion processes. We show the effectiveness of […]


Continue.. Bayesian Diffusion Models for 3D Shape Reconstruction

Bayesian Diffusion Models for 3D Shape Reconstruction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao | Summary: We present Bayesian Diffusion Models (BDM), a prediction algorithm that performs effective Bayesian inference by tightly coupling the top-down (prior) information with the bottom-up (data-driven) procedure via joint diffusion processes. We show the effectiveness of […]


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V3D: Video Diffusion Models are Effective 3D Generators

Kavli Affiliate: Feng Wang | First 5 Authors: Zilong Chen, Yikai Wang, Feng Wang, Zhengyi Wang, Huaping Liu | Summary: Automatic 3D generation has recently attracted widespread attention. Recent methods have greatly accelerated the generation speed, but usually produce less-detailed objects due to limited model capacity or 3D data. Motivated by recent advancements in video […]


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Control of flow behavior in complex fluids using automatic differentiation

Kavli Affiliate: Michael Brenner | First 5 Authors: Mohammed Alhashim, Kaylie Hausknecht, Michael Brenner, , | Summary: Inverse design of complex flows is notoriously challenging because of the high cost of high dimensional optimization. Usually, optimization problems are either restricted to few control parameters, or adjoint-based approaches are used to convert the optimization problem into […]


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A Magnetic Millirobot Walks on Slippery Biological Surfaces for Targeted Cargo Delivery

Kavli Affiliate: Felix Fischer | First 5 Authors: Moonkwang Jeong, Xiangzhou Tan, Felix Fischer, Tian Qiu, | Summary: Small-scale robots hold great potential for targeted cargo delivery in minimally-inv asive medicine. However, current robots often face challenges to locomote efficiently on slip pery biological tissue surfaces, especially when loaded with heavy cargos. Here, we report […]


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Investigation of nanophotonic lithium niobate waveguides for on-chip evanescent wave sensing

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Nathan A. Harper, Emily Y. Hwang, Philip A. Kocheril, Scott K. Cushing, | Summary: Thin-film lithium niobate is a promising photonic platform that could allow for light generation, manipulation, and sample interaction all within the same compact device. Integrated sample interaction geometries for on-chip sensors have […]


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Characterization of the low electric field and zero-temperature two-level-system loss in hydrogenated amorphous silicon

Kavli Affiliate: Sunil R. Golwala | First 5 Authors: Fabien Defrance, Andrew D. Beyer, Shibo Shu, Jack Sayers, Sunil R. Golwala | Summary: Two-level systems (TLS) are an important, if not dominant, source of loss and noise for superconducting resonators such as those used in kinetic inductance detectors and some quantum information science platforms. They […]


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Johnson-noise-limited cancellation-free microwave impedance microscopy with monolithic silicon cantilever probes

Kavli Affiliate: Feng Wang | First 5 Authors: Jun-Yi Shan, Nathaniel Morrison, Su-Di Chen, Feng Wang, Eric Y. Ma | Summary: Microwave impedance microscopy (MIM) is an emerging scanning probe technique for nanoscale complex permittivity mapping and has made significant impacts in diverse fields from semiconductors to quantum materials. To date, the most significant hurdles […]


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Quantum Many-Body Physics Calculations with Large Language Models

Kavli Affiliate: Michael P. Brenner | First 5 Authors: Haining Pan, Nayantara Mudur, Will Taranto, Maria Tikhanovskaya, Subhashini Venugopalan | Summary: Large language models (LLMs) have demonstrated an unprecedented ability to perform complex tasks in multiple domains, including mathematical and scientific reasoning. We demonstrate that with carefully designed prompts, LLMs can accurately carry out key […]


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