Kai Wang

ORCID: 0000-0002-8247-8619
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Research Areas
  • Gamma-ray bursts and supernovae
  • Astrophysics and Cosmic Phenomena
  • Radio Astronomy Observations and Technology
  • Supply Chain Resilience and Risk Management
  • Supply Chain and Inventory Management
  • Sustainable Supply Chain Management
  • Energy Efficiency and Management
  • Advanced Fiber Laser Technologies
  • Globalization and Cultural Identity
  • Computational Physics and Python Applications
  • Climate Change Policy and Economics
  • Advanced Malware Detection Techniques
  • Astrophysical Phenomena and Observations
  • Nonlinear Optical Materials Studies
  • High-Energy Particle Collisions Research
  • Energy, Environment, and Transportation Policies
  • Astronomy and Astrophysical Research
  • Particle physics theoretical and experimental studies
  • Network Security and Intrusion Detection
  • Multi-Criteria Decision Making
  • Energy, Environment, Economic Growth
  • Security and Verification in Computing
  • Nonlinear Optical Materials Research

Wuhan University
2002-2022

A new in situ thermal crosslinking approach was proposed to design second-order nonlinear optical polymer networks through a simple synthetic route, with the combination of “isolate chromophore” concept.

10.1039/d2qm00803c article EN Materials Chemistry Frontiers 2022-01-01

Using the datasets of Chinese A-share listed firms from 2010 to 2020, this study empirically explores impact carbon emissions on corporate social responsibility. We find that have a negative effect firm' s CSR. Our conclusion is highly robust after using instrumental variable and DID test alleviate issue endogeneity series robustness tests. Further analysis suggests firm financial distress, financing constraints, tax avoidance are three plausible mechanisms. findings offer enterprises an...

10.2139/ssrn.4726342 preprint EN 2024-01-01

As the hottest high-energy neutrino spot, NGC 1068 has received much attention in recent years. Here we focus on central region of active galactic nuclei (AGN) and propose an outflow-cloud interaction model that could probably explain observed data. Considering accretion process adjacent to supermassive black hole (SMBH) 1068, strong outflows will be generated, which likely interact with surrounding clouds floating corona region. Particles carried by outflow accelerated very high energy...

10.48550/arxiv.2406.14001 preprint EN arXiv (Cornell University) 2024-06-20

Tidal disruption events (TDEs), characterized by their luminous transients and high-velocity outflows, have emerged as plausible sources of high-energy neutrinos contributing to the diffuse neutrino. In this study, we calculate contribution TDEs neutrino employing outflow-cloud model within TDE framework. Our analysis indicates that becomes negligible when redshift $Z$ exceeds 2. Employing a set fiducial values, which includes outflow energy $E_{\rm kin}=10^{51}$ erg, proton spectrum cutoff...

10.48550/arxiv.2407.11410 preprint EN arXiv (Cornell University) 2024-07-16

The supersonic flow motions associated with infall of baryonic gas toward sheets and filaments, as well cluster mergers, produces large-scale shock waves. shocks galaxy clusters can be classified mainly into two categories: internal appear in the hot intracluster medium within viral radius, external accretion form outer cold region outside virial radius. Cosmic-ray (CR) electrons and/or protons accelerated by these are expected to produce gamma-rays through inverse-Compton scatterings (ICS)...

10.48550/arxiv.2412.02436 preprint EN arXiv (Cornell University) 2024-12-03

Purpose The purpose of this paper is to adopt a three-stage cloud-based management system for optimizing greenhouse gases (GHG) emission and marketing decisions with supplier selection product family design in multi-level supply chain multiple suppliers, one single manufacturer retailers. Design/methodology/approach purchases optional components certain functionality from his alternative suppliers customizes set platform products retailers different independent market segments. To tackle the...

10.1108/imds-06-2021-0402 article EN Industrial Management & Data Systems 2021-12-14
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