[HTML][HTML] Statistical physics approaches to the complex Earth system

J Fan, J Meng, J Ludescher, X Chen, Y Ashkenazy… - Physics reports, 2021 - Elsevier
Global warming, extreme climate events, earthquakes and their accompanying
socioeconomic disasters pose significant risks to humanity. Yet due to the nonlinear …

Developing, testing, and communicating earthquake forecasts: Current practices and future directions

L Mizrahi, I Dallo, NJ van der Elst… - Reviews of …, 2024 - Wiley Online Library
While deterministically predicting the time and location of earthquakes remains impossible,
earthquake forecasting models can provide estimates of the probabilities of earthquakes …

Fate of the Atlantic Meridional Overturning Circulation: Strong decline under continued warming and Greenland melting

P Bakker, A Schmittner, JTM Lenaerts… - Geophysical …, 2016 - Wiley Online Library
Abstract The most recent Intergovernmental Panel on Climate Change assessment report
concludes that the Atlantic Meridional Overturning Circulation (AMOC) could weaken …

Is seismicity operating at a critical point?

S Nandan, SK Ram, G Ouillon, D Sornette - Physical Review Letters, 2021 - APS
Seismicity and faulting within the Earth's crust are characterized by many scaling laws that
are usually interpreted as qualifying the existence of underlying physical mechanisms …

Optimizing machine learning models for granular NdFeB magnets by very fast simulated annealing

HK Park, JH Lee, J Lee, SK Kim - Scientific Reports, 2021 - nature.com
The macroscopic properties of permanent magnets and the resultant performance required
for real implementations are determined by the magnets' microscopic features. However …

Nowcasting earthquakes with stochastic simulations: Information entropy of earthquake catalogs

JB Rundle, I Baughman, T Zhang - Earth and Space Science, 2024 - Wiley Online Library
Earthquake nowcasting has been proposed as a means of tracking the change in large
earthquake potential in a seismically active area. The method was developed using …

Bayesian earthquake forecasting using Gaussian process modeling: GP‐ETAS applications

C Molkenthin, G Zöller, S Hainzl… - Seismological …, 2024 - pubs.geoscienceworld.org
Numerous seismicity models are known to simulate different observed characteristics of
earthquake occurrence successfully. However, their ability of prospective forecasting future …

Robust seismicity forecasting based on Bayesian parameter estimation for epidemiological spatio-temporal aftershock clustering models

H Ebrahimian, F Jalayer - Scientific reports, 2017 - nature.com
In the immediate aftermath of a strong earthquake and in the presence of an ongoing
aftershock sequence, scientific advisories in terms of seismicity forecasts play quite a crucial …

[HTML][HTML] An optimal cooling schedule using a simulated annealing based approach

AK Peprah, SK Appiah, SK Amponsah - Applied Mathematics, 2017 - scirp.org
Simulated annealing (SA) has been a very useful stochastic method for solving problems of
multidimensional global optimization that ensures convergence to a global optimum. This …

Assessing the predictive power of GPS‐based ground deformation data for aftershock forecasting

VM Schimmenti, G Petrillo… - Seismological …, 2024 - pubs.geoscienceworld.org
We present a machine learning approach for aftershock forecasting of the Japanese
earthquakes catalog. Our method takes as sole input the ground surface deformation as …