Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Köhler, Jonas"'
Autor:
Cheng, Lixue, Szabó, P. Bernát, Schätzle, Zeno, Kooi, Derk, Köhler, Jonas, Giesbertz, Klaas J. H., Noé, Frank, Hermann, Jan, Gori-Giorgi, Paola, Foster, Adam
Variational ab-initio methods in quantum chemistry stand out among other methods in providing direct access to the wave function. This allows in principle straightforward extraction of any other observable of interest, besides the energy, but in prac
Externí odkaz:
http://arxiv.org/abs/2409.01306
Autor:
Li, Wei, Chakraborty, Megha, Cartaya, Claudia Quinteros, koehler, Jonas, Faber, Johannes, Ruempker, Georg, Srivastava, Nishtha
Seismology has witnessed significant advancements in recent years with the application of deep learning methods to address a broad range of problems. These techniques have demonstrated their remarkable ability to effectively extract statistical prope
Externí odkaz:
http://arxiv.org/abs/2308.11428
Reliable earthquake forecasting methods have long been sought after, and so the rise of modern data science techniques raises a new question: does deep learning have the potential to learn this pattern? In this study, we leverage the large amount of
Externí odkaz:
http://arxiv.org/abs/2307.01812
High rate Global Navigation Satellite System (HR GNSS) data can be highly useful for earthquake analysis as it provides continuous high-rate measurements of ground motion. This data can be used to estimate the magnitude, to assess the potential of an
Externí odkaz:
http://arxiv.org/abs/2304.09912
Normalizing flows (NF) are a class of powerful generative models that have gained popularity in recent years due to their ability to model complex distributions with high flexibility and expressiveness. In this work, we introduce a new type of normal
Externí odkaz:
http://arxiv.org/abs/2301.11355
Autor:
Li, Wei, Koehler, Jonas, Chakraborty, Megha, Quinteros-Cartaya, Claudia, Ruempker, Georg, Srivastava, Nishtha
Seismic phase picking and magnitude estimation are essential components of real time earthquake monitoring and earthquake early warning systems. Reliable phase picking enables the timely detection of seismic wave arrivals, facilitating rapid earthqua
Externí odkaz:
http://arxiv.org/abs/2211.09539
Publikováno v:
J. Chem. Theory Comput. 2023, XXXX, XXX, XXX-XXX
Coarse-grained (CG) molecular simulations have become a standard tool to study molecular processes on time- and length-scales inaccessible to all-atom simulations. Parameterizing CG force fields to match all-atom simulations has mainly relied on forc
Externí odkaz:
http://arxiv.org/abs/2203.11167
Autor:
Fenner, Darius, Ruempker, Georg, Li, Wei, Chakraborty, Megha, Faber, Johannes, Koehler, Jonas, Stoecker, Horst, Srivastava, Nishtha
Many active volcanoes in the world exhibit Strombolian activity, which is typically characterized by relatively frequent mild events and also by rare and much more destructive major explosions and paroxysms. Detailed analyses of past major and minor
Externí odkaz:
http://arxiv.org/abs/2111.01513
Normalizing flows are a promising tool for modeling probability distributions in physical systems. While state-of-the-art flows accurately approximate distributions and energies, applications in physics additionally require smooth energies to compute
Externí odkaz:
http://arxiv.org/abs/2110.00351
Autor:
Li, Wei, Chakraborty, Megha, Cartaya, Claudia Quinteros, Köhler, Jonas, Faber, Johannes, Meier, Men-Andrin, Rümpker, Georg, Srivastava, Nishtha
Publikováno v:
In Computers and Geosciences October 2024 192