68 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Northwestern UniversityUS3 papers
- Harvard UniversityUS2 papers
- Princeton UniversityUS2 papers
- University of Maryland, College ParkUS2 papers
- Yale UniversityUS2 papers
- Adam Mickiewicz University in PoznańPL1 paper
- Aix-Marseille UniversitéFR1 paper
- Arizona State UniversityUS1 paper
- Association of Universities for Research in AstronomyUS1 paper
- Astronomical Observatory of CapodimonteIT1 paper
- Astronomical Observatory of RomeIT1 paper
- Auburn UniversityUS1 paper
5 papers
NSF-DOE Vera C. Rubin Observatory Observations of Interstellar Comet 3I/ATLAS (C/2025 N1)
Colin Orion Chandler, Pedro H. Bernardinelli, Mario Jurić +305
We report on the observation and measurement of astrometry, photometry, morphology, and activityof the interstellar object 3I/ATLAS, also designated C/2025 N1 (ATLAS) with the NSF-…
Irreversibility in Bacterial Regulatory Networks
Yi Zhao, Thomas P. Wytock, Kimberly A. Reynolds +1
Irreversibility, in which a transient perturbation leaves a system in a new state, is an emergent property in systems of interacting entities. This property has well-established im…
Cell reprogramming design by transfer learning of functional transcriptional networks
Thomas P. Wytock, Adilson E. Motter
Recent developments in synthetic biology, next-generation sequencing, and machine learning provide an unprecedented opportunity to rationally design new disease treatments based on…
Tidal Disruption Disks Formed and Fed by Stream-Stream and Stream-Disk Interactions in Global GRHD Simulations
Zachary L. Andalman, Matthew T. P. Liska, Alexander Tchekhovskoy +2
When a star passes close to a supermassive black hole (BH), the BH's tidal forces rip it apart into a thin stream, leading to a tidal disruption event (TDE). In this work, we study…
An Inexact Successive Quadratic Approximation Method for Convex L-1 Regularized Optimization
Richard H. Byrd, Jorge Nocedal, Figen Oztoprak
We study a Newton-like method for the minimization of an objective function that is the sum of a smooth convex function and an l-1 regularization term. This method, which is someti…