Type 1 lymphocytes accumulate in the thalamus and produce interferon-γ to restrict seizure susceptibility after brain injury

Kavli Affiliate: Anna Molofsky and Jeanne Paz | Authors: Nicholas M Mroz, Agnieszka Ciesielska, Nathan A Ewing-Crystal, Leah C Dorman, Rafael T Han, Jerika J Barron, Nicholas J Silva, Audrey Magsig, Anna V Molofsky, Ari B Molofsky and Jeanne T Paz | Summary: Chronic neural circuit hyperexcitability frequently emerges after brain injury, but endogenous mechanisms […]


Continue.. Type 1 lymphocytes accumulate in the thalamus and produce interferon-γ to restrict seizure susceptibility after brain injury

Direct Tests of Black Hole Accretion Rate Prescriptions: I. Bondi Accretion at Different Scales

Kavli Affiliate: Claudio Ricci | Summary:We present spatially resolved parsec-scale measurements of nuclear conditions (gas density and kinetic temperature) relevant for black hole accretion rate predictions in the Seyfert 2 galaxy, NGC 1068. We inject these parameters into the prescription for a Bondi-like accretion model, then compare the resulting accretion rate prediction to the empirical […]


Continue.. Direct Tests of Black Hole Accretion Rate Prescriptions: I. Bondi Accretion at Different Scales

Direct Tests of Black Hole Accretion Rate Prescriptions: I. Bondi Accretion at Different Scales

Kavli Affiliate: Claudio Ricci | Summary:We present spatially resolved parsec-scale measurements of nuclear conditions (gas density and kinetic temperature) relevant for black hole accretion rate predictions in the Seyfert 2 galaxy, NGC 1068. We inject these parameters into the prescription for a Bondi-like accretion model, then compare the resulting accretion rate prediction to the empirical […]


Continue.. Direct Tests of Black Hole Accretion Rate Prescriptions: I. Bondi Accretion at Different Scales

Improved proper motion and gravity tests with PSR J1913+1102

Kavli Affiliate: Lijing Shao | Summary:PSR J1913+1102 is a highly asymmetric double neutron star system and an excellent laboratory for testing scalar-tensor gravity theories, as well as a potential progenitor analogue of GW170817 that will merge in 470 Myr. We present an updated timing analysis combining 13 years of historical Arecibo observations and new FAST […]


Continue.. Improved proper motion and gravity tests with PSR J1913+1102

JWST-TST High Contrast: First Direct Spectroscopy of GJ 504 b reveals Clouds and Possible Metal Enrichment

Kavli Affiliate: Sara Seager | Summary:Characterizing the coldest directly imaged companions through direct spectroscopy has only recently become possible with the James Webb Space Telescope. We present moderate-resolution (R $sim$ 2,700) spectroscopic observations of the directly imaged planetary-mass companion (PMC), GJ 504 b, using the $JWST$/NIRSpec. As the coldest imaged PMC of the pre-JWST era […]


Continue.. JWST-TST High Contrast: First Direct Spectroscopy of GJ 504 b reveals Clouds and Possible Metal Enrichment

Coherent Microwave Control of Optically Addressable Donor Qubits in ZnO

Kavli Affiliate: Joseph Falson | Summary:Optically addressable shallow donors in ZnO combine efficient spin-selective optical transitions with the potential for long spin coherence in an isotopically purifiable host lattice, making them an attractive platform for spin-photon quantum technologies. A key missing capability, however, has been coherent control beyond the small-angle rotations accessible with ultrafast optical […]


Continue.. Coherent Microwave Control of Optically Addressable Donor Qubits in ZnO

Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training

Kavli Affiliate: Wei Gao| Summary:Reinforcement learning (RL) post-training of Diffusion Transformers (DiTs) is prohibitively expensive, requiring thousands of high-end GPUs. Existing works explore two directions to reduce cost: seed exploration improves training convergence by selecting high-contrast samples, yet adds compute to the critical path; spot GPUs offer 69–77% lower cost, yet sit idle during training […]


Continue.. Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training

Efficient Image Registration for Ultrasound Localization Microscopy by Obtaining Gradients via Integration Across Iterations

Kavli Affiliate: Biao Huang | Summary:Tissue motion correction through image registration is essential for ultrasound localization microscopy (ULM). Parametric image registration is commonly formulated as an optimization problem where motion parameters are iteratively updated to maximize image similarity, and used optimization algorithms typically rely on gradient information, the explicit evaluation of which can become computationally […]


Continue.. Efficient Image Registration for Ultrasound Localization Microscopy by Obtaining Gradients via Integration Across Iterations

Piezoelectric resonators in thin-film barium titanate from room temperature to millikelvin

Kavli Affiliate: Mohammad Mirhosseini | Summary:Ferroelectric materials, with their strong nonlinearities, underpin key technologies across radio-frequency (RF) signal processing, optical communications, and emerging quantum systems. Barium titanate (BTO) is a notable example, combining strong piezoelectric and electro-optic responses. While bulk BTO has been studied for decades, the piezoelectric properties of its recently available thin films, […]


Continue.. Piezoelectric resonators in thin-film barium titanate from room temperature to millikelvin

Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks

Kavli Affiliate: Lina Necib | Summary:The gravitational potential of a galaxy encodes its mass distribution, formation history, and dark matter halo structure. Accurate potential models are therefore critical for interpreting stellar kinematics, orbital dynamics, and the influence of satellite systems like the Large Magellanic Cloud. Analytic potential models offer interpretability and efficiency but struggle to […]


Continue.. Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks