Triboelectric nanogenerators with machine learning for internet of things

J Yang, K Hong, Y Hao, X Zhu, Y Qin… - Advanced Materials …, 2024 - Wiley Online Library
The development of the Internet of Things (IoT) indicates that humankind has entered a new
intelligent era of the “Internet of Everything”. Thanks to the characteristics of low‐cost …

Searches for mass-asymmetric compact binary coalescence events using neural networks in the LIGO/Virgo third observation period

M Andrés-Carcasona, A Menéndez-Vázquez… - Physical Review D, 2023 - APS
We present the results of the search for the coalescence of compact binary mergers with
very asymmetric mass configurations using convolutional neural networks and the Laser …

Sequential simulation-based inference for gravitational wave signals

U Bhardwaj, J Alvey, BK Miller, S Nissanke, C Weniger - Physical Review D, 2023 - APS
The current and upcoming generations of gravitational wave experiments represent an
exciting step forward in terms of detector sensitivity and performance. For example, key …

Deep learning detection and classification of gravitational waves from neutron star-black hole mergers

R Qiu, PG Krastev, K Gill, E Berger - Physics Letters B, 2023 - Elsevier
Abstract The Laser Interferometer Gravitational-Wave Observatory (LIGO) and Virgo
Interferometer Collaborations have now detected all three classes of compact binary …

Deep residual networks for gravitational wave detection

P Nousi, AE Koloniari, N Passalis, P Iosif, N Stergioulas… - Physical Review D, 2023 - APS
Traditionally, gravitational waves are detected with techniques such as matched filtering or
unmodeled searches based on wavelets. However, in the case of generic black hole …

Premerger detection of massive black hole binaries using deep learning

WH Ruan, ZK Guo - Physical Review D, 2024 - APS
Coalescing massive black hole binaries (MBHBs) are one of primary sources for space-
based gravitational wave (GW) observations. The mergers of these binaries are expected to …

Convolutional neural networks for signal detection in real LIGO data

O Zelenka, B Brügmann, F Ohme - Physical Review D, 2024 - APS
Searching the data of gravitational-wave detectors for signals from compact binary mergers
is a computationally demanding task. Recently, machine-learning algorithms have been …

Numerical relativity higher order gravitational waveforms of eccentric, spinning, nonprecessing binary black hole mergers

AV Joshi, SG Rosofsky, R Haas, EA Huerta - Physical Review D, 2023 - APS
We use the open source, community-driven, numerical relativity software, the einstein toolkit
to study the physics of eccentric, spinning, nonprecessing binary black hole mergers with …

New approach to template banks of gravitational waves with higher harmonics: Reducing matched-filtering cost by over an order of magnitude

D Wadekar, T Venumadhav, AK Mehta, J Roulet… - Physical Review D, 2024 - APS
Searches for gravitational wave events use models, or templates, for the signals of interest.
The templates used in current searches in the LIGO-Virgo-KAGRA data model the dominant …

Coupled-channels reactions for charged particles in harmonic traps

H Zhang, D Bai, Z Ren - Physical Review C, 2024 - APS
Based on our previous work about Coulomb corrections in the trap method [H. Zhang et al.
Phys. Lett. B 850, 138490 (2024) 0370-2693 10.1016/j. physletb. 2024.138490], we extend …