Data-Driven Modeling for On-Demand Flow Prescription in Fan-Array Wind Tunnels

Kavli Affiliate: Morteza Gharib | First 5 Authors: Alejandro A. Stefan-Zavala, Isabel Scherl, Ioannis Mandralis, Steven L. Brunton, Morteza Gharib | Summary: Fan-array wind tunnels are an emerging technology to design bespoke wind fields through grids of individually controllable fans. This design is especially suited for the turbulent, dynamic, non-uniform flow conditions found close to […]


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Low two-level-system noise in hydrogenated amorphous silicon

Kavli Affiliate: Sunil R. Golwala | First 5 Authors: Fabien Defrance, Andrew D. Beyer, Jordan Wheeler, Jack Sayers, Sunil R. Golwala | Summary: At sub-Kelvin temperatures, two-level systems (TLS) present in amorphous dielectrics source a permittivity noise, degrading the performance of a wide range of devices using superconductive resonators such as qubits or kinetic inductance […]


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A mechanical quantum memory for microwave photons

Kavli Affiliate: Mohammad Mirhosseini | First 5 Authors: Alkım B. Bozkurt, Omid Golami, Yue Yu, Hao Tian, Mohammad Mirhosseini | Summary: Long-lived mechanical oscillators are actively pursued as critical resources for quantum storage, sensing, and transduction. However, achieving deterministic quantum control while limiting mechanical dissipation remains a persistent challenge. Here, we demonstrate strong coupling between […]


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Optimizing for a Near Single-Mode Type-0 Optical Parametric Amplifier in Nanophotonics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Shivam Mundhra, Elina Sendonaris, Robert M. Gray, James Williams, Alireza Marandi | Summary: Thin-film lithium niobate (TFLN) has recently emerged as a promising platform for integrated nonlinear photonics, enabling the use of optical parametric amplifiers (OPAs) for applications in quantum information processing, precision metrology, and ultrafast optical […]


Continue.. Optimizing for a Near Single-Mode Type-0 Optical Parametric Amplifier in Nanophotonics

Optimizing for a Near Single-Mode Type-0 Optical Parametric Amplifier in Nanophotonics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Shivam Mundhra, Elina Sendonaris, Robert M. Gray, James Williams, Alireza Marandi | Summary: Thin-film lithium niobate (TFLN) has recently emerged as a promising platform for integrated nonlinear photonics, enabling the use of optical parametric amplifiers (OPAs) for applications in quantum information processing, precision metrology, and ultrafast optical […]


Continue.. Optimizing for a Near Single-Mode Type-0 Optical Parametric Amplifier in Nanophotonics

Optimizing for a Near Single-Mode Type-0 Optical Parametric Amplifier in Nanophotonics

Kavli Affiliate: Alireza Marandi | First 5 Authors: Shivam Mundhra, Elina Sendonaris, Robert M. Gray, James Williams, Alireza Marandi | Summary: Thin-film lithium niobate (TFLN) has recently emerged as a promising platform for integrated nonlinear photonics, enabling the use of optical parametric amplifiers (OPAs) for applications in quantum information processing, precision metrology, and ultrafast optical […]


Continue.. Optimizing for a Near Single-Mode Type-0 Optical Parametric Amplifier in Nanophotonics

Self-supervised cost of transport estimation for multimodal path planning

Kavli Affiliate: Morteza Gharib | First 5 Authors: Vincent Gherold, Ioannis Mandralis, Eric Sihite, Adarsh Salagame, Alireza Ramezani | Summary: Autonomous robots operating in real environments are often faced with decisions on how best to navigate their surroundings. In this work, we address a particular instance of this problem: how can a robot autonomously decide […]


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PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Kavli Affiliate: Wei Gao | First 5 Authors: Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao, | Summary: Text-to-video (T2V) generation has been recently enabled by transformer-based diffusion models, but current T2V models lack capabilities in adhering to the real-world common knowledge and physical rules, due to their limited understanding of physical realism and deficiency […]


Continue.. PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation

Kavli Affiliate: Wei Gao | First 5 Authors: Qiyao Xue, Xiangyu Yin, Boyuan Yang, Wei Gao, | Summary: Text-to-video (T2V) generation has been recently enabled by transformer-based diffusion models, but current T2V models lack capabilities in adhering to the real-world common knowledge and physical rules, due to their limited understanding of physical realism and deficiency […]


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Enhanced Capture Point Control Using Thruster Dynamics and QP-Based Optimization for Harpy

Kavli Affiliate: Morteza Gharib | First 5 Authors: Shreyansh Pitroda, Eric Sihite, Taoran Liu, Kaushik Venkatesh Krishnamurthy, Chenghao Wang | Summary: Our work aims to make significant strides in understanding unexplored locomotion control paradigms based on the integration of posture manipulation and thrust vectoring. These techniques are commonly seen in nature, such as Chukar birds […]


Continue.. Enhanced Capture Point Control Using Thruster Dynamics and QP-Based Optimization for Harpy