Connecting dust and outflows in AGN: the intriguing case of NGC 6860

Kavli Affiliate: Norbert Schulz | First 5 Authors: Ioanna Psaradaki, Missagh Mehdipour, Daniele Rogantini, Elisa Costantini, Norbert Schulz | Summary: Cosmic dust plays a crucial role in the evolution of galaxies, significantly influencing star formation and the interstellar medium. However, in active galactic nuclei (AGN), the role and origin of dust remain poorly understood. High-resolution […]


Continue.. Connecting dust and outflows in AGN: the intriguing case of NGC 6860

Connecting dust and outflows in AGN: the intriguing case of NGC 6860

Kavli Affiliate: Norbert Schulz | First 5 Authors: Ioanna Psaradaki, Missagh Mehdipour, Daniele Rogantini, Elisa Costantini, Norbert Schulz | Summary: Cosmic dust plays a crucial role in the evolution of galaxies, significantly influencing star formation and the interstellar medium. However, in active galactic nuclei (AGN), the role and origin of dust remain poorly understood. High-resolution […]


Continue.. Connecting dust and outflows in AGN: the intriguing case of NGC 6860

Constraining the excitation of molecular gas in Two Quasar-Starburst Systems at $z sim 6$

Kavli Affiliate: Ran Wang | First 5 Authors: Fuxiang Xu, Ran Wang, Jianan Li, Roberto Neri, Antonio Pensabene | Summary: We present NOrthern Extended Millimeter Array observations of CO(8-7), (9-8), and (10-9) lines, as well as the underlying continuum for two far-infrared luminous quasars: SDSS J2054-0005 at $rm z=6.0389$ and SDSS J0129-0035 at $rm z=5.7788$. […]


Continue.. Constraining the excitation of molecular gas in Two Quasar-Starburst Systems at $z sim 6$

HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference

Kavli Affiliate: Jing Wang | First 5 Authors: Peng Tang, Jiacheng Liu, Xiaofeng Hou, Yifei Pu, Jing Wang | Summary: The Mixture-of-Experts (MoE) architecture has demonstrated significant advantages in the era of Large Language Models (LLMs), offering enhanced capabilities with reduced inference costs. However, deploying MoE-based LLMs on memoryconstrained edge devices remains challenging due to […]


Continue.. HOBBIT: A Mixed Precision Expert Offloading System for Fast MoE Inference

Nanoscale and Element-Specific Lattice Temperature Measurements using Core-Loss Electron Energy-Loss Spectroscopy

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Levi D. Palmer, Wonseok Lee, Daniel B. Durham, Javier Fajardo, Jr., Yuzi Liu | Summary: Measuring nanoscale local temperatures, particularly in vertically integrated and multi-component systems, remains challenging. Spectroscopic techniques like X-ray absorption and core-loss electron energy-loss spectroscopy (EELS) are sensitive to lattice temperature, but understanding […]


Continue.. Nanoscale and Element-Specific Lattice Temperature Measurements using Core-Loss Electron Energy-Loss Spectroscopy

Towards Nanoscale and Element-Specific Lattice Temperature Measurements using Core-Loss Electron Energy-Loss Spectroscopy

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Levi D. Palmer, Wonseok Lee, Javier Fajardo, Jr., A. Alec Talin, Thomas E. Gage | Summary: Measuring nanoscale local temperatures, particularly in vertically integrated and multi-component systems, remains challenging. Spectroscopic techniques like X-ray absorption and core-loss electron energy-loss spectroscopy (EELS) are sensitive to lattice temperature, but […]


Continue.. Towards Nanoscale and Element-Specific Lattice Temperature Measurements using Core-Loss Electron Energy-Loss Spectroscopy

Artificial Intelligence-Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Marc Botifoll, Ivan Pinto-Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll | Summary: (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of devices due to its time-intensive nature. To address this, we introduce […]


Continue.. Artificial Intelligence-Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Artificial Intelligence-Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Marc Botifoll, Ivan Pinto-Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll | Summary: (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of devices due to its time-intensive nature. To address this, we introduce […]


Continue.. Artificial Intelligence-Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling