Results 11 to 20 of about 45,331 (296)
For the first time, from early 2019 to the end of 2022, Mars’ shallow and deep interiors have been explored by seismology with the InSight mission. Thanks to the performances of its seismometers and the quality of their robotic installation on the ground, 1,319 seismic events have been detected, including about 90 marsquakes at teleseismic distances ...
Lognonné, Philippe +7 more
exaly +5 more sources
The discipline of seismology is based on observations of ground motion that are inherently undersampled in space and time. Our basic understanding of earthquake processes and our ability to resolve 4D Earth structure are fundamentally limited by data ...
S J Arrowsmith +2 more
exaly +2 more sources
We propose a quantum mechanical method of detecting weak vibrational disturbances inspired by the protocol of entanglement farming. We consider a setup where pairs of atoms in their ground state are successively sent through an optical cavity.
Eric G Brown +5 more
doaj +3 more sources
Seismology is among the intrinsic sciences that strictly affect human lives. Many research efforts are presented in the literature aiming at achieving risk mitigation and disaster management.
Mohamed S. Abdalzaher +2 more
doaj +2 more sources
The R package “eseis” – a software toolbox for environmental seismology [PDF]
Environmental seismology is the study of the seismic signals emitted by Earth surface processes. This emerging research field is at the intersection of seismology, geomorphology, hydrology, meteorology, and further Earth science disciplines.
M. Dietze
doaj +2 more sources
A Review of the Capacitive MEMS for Seismology
MEMS (Micro Electro-Mechanical Systems) sensors enable a vast range of applications: among others, the use of MEMS accelerometers for seismology related applications has been emerging considerably in the last decade.
Antonino D'Alessandro +2 more
exaly +2 more sources
Urban Seismology: on the origin of earth vibrations within a city
Urban seismology has become an active research field in the recent years, both with seismological objectives, as obtaining better microzonation maps in highly populated areas, and with engineering objectives, as the monitoring of traffic or the surveying
Jordi Diaz +2 more
exaly +2 more sources
SeisCLIP: A Seismology Foundation Model Pre-Trained by Multimodal Data for Multipurpose Seismic Feature Extraction [PDF]
In seismology, while training a specific deep learning model for each task is common, it often faces challenges such as the scarcity of labeled data and limited regional generalization.
Xu Si +4 more
semanticscholar +1 more source
SeisBench—A Toolbox for Machine Learning in Seismology [PDF]
Machine-learning (ML) methods have seen widespread adoption in seismology in recent years. The ability of these techniques to efficiently infer the statistical properties of large datasets often provides significant improvements over traditional ...
J. Woollam +12 more
semanticscholar +1 more source
Artificial intelligence in seismology: Advent, performance and future trends
Pengcheng Jiao, Amir H. Alavi
openalex +2 more sources

