Improving cosmological reach of a gravitational wave observatory using Deep Loop Shaping

Kavli Affiliate: Rana X. Adhikari | First 5 Authors: , , , , | Summary: Improved low-frequency sensitivity of gravitational wave observatories would unlock study of intermediate-mass black hole mergers, binary black hole eccentricity, and provide early warnings for multi-messenger observations of binary neutron star mergers. Today’s mirror stabilization control injects harmful noise, constituting a […]


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Accurate ground states of $SU(2)$ lattice gauge theory in 2+1D and 3+1D

Kavli Affiliate: Eliska Greplova | First 5 Authors: Thomas Spriggs, Thomas Spriggs, , , | Summary: We present a neural network wavefunction framework for solving non-Abelian lattice gauge theories in a continuous group representation. Using a combination of $SU(2)$ equivariant neural networks alongside an $SU(2)$ invariant, physics-inspired ansatz, we learn a parameterization of the ground […]


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The Polar Orbit of TOI-2374 b, a Planet in the Neptunian Ridge

Kavli Affiliate: David Charbonneau | First 5 Authors: Samuel W. Yee, Samuel W. Yee, , , | Summary: The “Neptunian ridge” is a recently identified peak in the frequency of planets with sizes between that of Neptune and Saturn orbiting their host stars with periods between 3 and 6 days (A. Castro-Gonz’alez et al. 2024). […]


Continue.. The Polar Orbit of TOI-2374 b, a Planet in the Neptunian Ridge

Dense Molecular Ring-like structure in gaseous CO depletion region G34.74-0.12

Kavli Affiliate: Lile Wang | First 5 Authors: Shuting Lin, Shuting Lin, , , | Summary: We report the discovery of a dense molecular ring-like structure in a dense (10$^5$ cm$^-3$), cold (pc-scale CO depletion at a factor of 5), and young (10$^4$ year) star-forming region G34.74-0.12, revealed by C$^18$O (2-1), HNC (1-0), and N$_2$H$^+$ […]


Continue.. Dense Molecular Ring-like structure in gaseous CO depletion region G34.74-0.12

Sequential sampling from memory underlies perceptual decisions unyoked from actions

Kavli Affiliate: Michael Shadlen | Authors: Prayshita Sharma, Michael Shadlen and S Shushruth | Summary: Perceptual decision-making refers to the class of decisions in which sensory evidence is used to categorize percepts and guide actions. Conventionally, categorical decisions are thought to precede motor actions. However, recent studies in nonhuman primates challenge this assumption — when […]


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Consistent Modeling of Non-equilibrium Dust Sublimation and the Interactions with Dust Evolution in the Inner Regions of Protoplanetary Disks

Kavli Affiliate: Lile Wang | First 5 Authors: Sheng Xu, Sheng Xu, , , | Summary: The inner regions of protoplanetary disks are host to the sublimation of dust grains, a process traditionally modeled using equilibrium thermodynamics. We demonstrate through ab-initio density functional theory (DFT) and kinetic Monte Carlo (KMC) simulations that silicate dust sublimation […]


Continue.. Consistent Modeling of Non-equilibrium Dust Sublimation and the Interactions with Dust Evolution in the Inner Regions of Protoplanetary Disks

Amorphization-Mediated Si-I to Si-V Phase Transition and Reversible Amorphous-Si-V Phase Memory in Silicon Nanoparticles

Kavli Affiliate: Wei Gao | First 5 Authors: Ziye Deng, Ziye Deng, , , | Summary: Molecular dynamics simulations using a Gaussian Approximation Potential (GAP) reveal a stress triaxiality driven, two-step Si-I (diamond cubic) to Si-V (simple hexagonal) phase transition pathway in a spherical Si nanoparticle with a 10 nm diameter under triaxial compression. A […]


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Single-cell long-read sequencing of the experience-induced transcriptome

Kavli Affiliate: Richard Huganir | Authors: Sheridan Cavalier, Paul W Hook, Richard L. Huganir and Winston Timp | Summary: Neural activity drives transcriptional events that are critical for learning. Activity-induced transcript isoform expression and alternative splicing are cell-type specific events typically obscured by sequencing approaches that restrict read length. We combined single-cell transcriptomics with Nanopore […]


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Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization

Kavli Affiliate: Zheng Zhu | First 5 Authors: Yifan Chang, Yifan Chang, , , | Summary: Vector quantization (VQ) is a key component in discrete tokenizers for image generation, but its training is often unstable due to straight-through estimation bias, one-step-behind updates, and sparse codebook gradients, which lead to suboptimal reconstruction performance and low codebook […]


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