A5103212530- Pulsars and Gravitational Waves Research
- Gamma-ray bursts and supernovae
- Astrophysical Phenomena and Observations
- Rare-earth and actinide compounds
- Advanced Condensed Matter Physics
- Astrophysics and Cosmic Phenomena
- Stellar, planetary, and galactic studies
- Topological Materials and Phenomena
- Advanced Data Compression Techniques
- Advanced Materials Characterization Techniques
- Building Energy and Comfort Optimization
- Big Data and Digital Economy
- Nuclear Materials and Properties
- Advanced Image and Video Retrieval Techniques
- Astronomical Observations and Instrumentation
- Explainable Artificial Intelligence (XAI)
- Astro and Planetary Science
- Astronomy and Astrophysical Research
- Video Coding and Compression Technologies
- Energy Load and Power Forecasting
- Wind and Air Flow Studies
- Astrophysics and Star Formation Studies
- Evolutionary Algorithms and Applications
- High-pressure geophysics and materials
University of Illinois Urbana-Champaign
2016-2022
Shandong Academy of Building Research
2020
We perform general relativistic, magnetohydrodynamic (GRMHD) simulations of merging binary neutron stars incorporating neutrino transport and magnetic fields. Our new radiative module for neutrinos adopts a truncated-moment (M1) formalism. The binaries consist two identical, irrotational modeled by the SLy nuclear equation state (EOS). They are initially in quasicircular orbit threaded with poloidal field that extends from stellar interior into exterior, as typical pulsars. insert processes...
Significance Topological insulators are an emerging class of quantum matter in which the nontrivial bulk band structure gives rise to topologically protected surface states. Most weakly correlated such as Bi 2 Se 3 . Despite numerous investigations on strongly Kondo insulator samarium hexaboride (SmB 6 ), topological nature its states remained a mystery. Planar tunneling spectroscopy adopted this work not only reveals spectroscopic signatures for Dirac fermion states, but also that their...
Abstract We present a public, open-source relational data base (we name kaepora) containing sample of 4975 spectra 777 Type Ia supernovae (SNe Ia). Since we draw from many sources, significantly improve the by inspecting these for quality, removing galactic emission lines and cosmic rays, generating variance spectra, correcting reddening caused both MW host-galaxy dust. With our base, organize this homogenized set 56 unique categories SN-specific spectrum-specific metadata. kaepora, produce...
A radical paradigm shift of wireless networks from ``connected things'' to intelligence'' undergoes, which coincides with the Shanno and Weaver's envisions: Communications will transform technical level semantic level. This article proposes a communication method artificial intelligence tasks (SC-AIT). First, architecture SC-AIT is elaborated. Then, based on proposed architecture, we implement for image classifications task. prototype also established surface defect detection, conducted....
We perform MHD simulations in full GR of uniformly rotating stars that are marginally unstable to collapse. Our model the direct collapse supermassive (SMSs) seed black holes (BHs) can grow become BHs at centers quasars and AGNs. They also crudely massive Pop III BHs, which could power a fraction distant, long gamma-ray bursts (GRBs). The initial stellar models we adopt $\Gamma = 4/3$ polytropes seeded with dynamically unimportant dipole magnetic field (B field). treat B-field configurations...
Can one distinguish a binary black hole undergoing merger from neutron star if the individual compact companions have masses that fall inside so-called mass gap of 3-5 M_{⊙}? For stars, achieving such typically requires extreme compactness and in this work we present initial data evolutions stars initially quasiequilibrium circular orbits having C=0.336. These are most compact, nonvacuum, objects been constructed evolved to date, including boson stars. The achieved is only slightly smaller...
Collapsing supermassive stars (SMSs) with masses
We construct the first dynamically stable ergostars (equilibrium neutron stars that contain an ergoregion) for a compressible, causal equation of state. demonstrate their stability by evolving both strict and perturbed equilibrium configurations in full general relativity over hundred dynamical timescales (≳30 rotational periods) observing stationary behavior. This is contrast to earlier models which prove radially unstable collapse. Our solutions are highly differentially rotating...
Several technical issues and challenges are identified investigated for the planar tunneling spectroscopy of topological Kondo insulator ${\mathrm{SmB}}_{6}$. Contrasting behaviors tunnel junctions prepared in two different ways analyzed explained detail. The conventional approach based on an ${\mathrm{AlO}}_{x}$ barrier results unsatisfactory due to interdiffusion between ${\mathrm{SmB}}_{6}$ deposited Al. On contrary, plasma oxidation crystals produces high-quality barriers both (001)...
Fragmentation of highly differentially rotating massive stars that undergo collapse has been suggested as a possible channel for binary black hole formation. Such scenario could explain the formation new population holes detected by LIGO/VIRGO gravitational wave laser interferometers. We probe performing general relativistic magnetohydrodynamic simulations supported thermal radiation pressure plus gas perturbation. The are initially threaded dynamically weak, poloidal magnetic field confined...
This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger Astrophysics, with a particular emphasis on real-time discovery campaigns. Acknowledging transdisciplinary nature this document has been prepared by members physics, astronomy, computer science, data software cyberinfrastructure communities who attended NSF-, DOE- NVIDIA-funded "Deep Learning for Astrophysics: Real-time...
Abstract Particularly In the nowadays, under environment of increasing severe weather, buildings become consumers energy resources that cannot be ignored, hvac is one most important consuming equipment in building, it has great practical significance and guidance for consumption prediction optimization to reduce overall cost. The Adaboost-BP model based on integrated learning algorithm can not only improve accuracy BP neural network model, at same time, defects such as falling into local...
Joint source and channel coding (JSCC) for image transmission has attracted increasing attention due to its robustness high efficiency. However, the existing deep JSCC research mainly focuses on minimizing distortion between transmitted received information under a fixed number of available channels. Therefore, rate may be far more than required minimum value. In this paper, an adaptive bottleneck (IB) guided joint (AIB-JSCC) method is proposed transmission. The goal AIB-JSCC reduce while...