60 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of OsloNO4 papers
- AGH University of KrakowPL1 paper
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und MeeresforschungDE1 paper
- Atos (France)FR1 paper
- Barcelona Supercomputing CenterES1 paper
- Central Maine Community CollegeUS1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- City, University of LondonGB1 paper
- CMCC Foundation - Euro-Mediterranean Center on Climate ChangeIT1 paper
- Consejo Superior de Investigaciones CientíficasES1 paper
- Cornell UniversityUS1 paper
- Durham UniversityGB1 paper
10 papers
Mechanics-Informed Machine Learning for Geospatial Modeling of Soil Liquefaction: Global and National Surrogate Models for Simulation and Near-Real-Time Response
Morgan D. Sanger, Mertcan Geyin, Brett W. Maurer
Using machine learning (ML), high performance computing, and a large body of geospatial information, we develop surrogate models to predict soil liquefaction across regional scales…
Assessing salt precipitation and weak acid interaction in subsurface CO2 injection: Potential 50% strength decline in near-wellbore reservoir sandstones
Mohammad Nooraiepour, Krzysztof Polanski, Mohammad Masoudi +6
Predictive modeling of CO2 storage sites requires a detailed understanding of physico-chemical processes and potential challenges for scale-up. Dramatic injectivity decline may occ…
Enabling Dynamic and Intelligent Workflows for HPC, Data Analytics, and AI Convergence
Jorge Ejarque, Rosa M. Badia, Loïc Albertin +34
The evolution of High-Performance Computing (HPC) platforms enables the design and execution of progressively larger and more complex workflow applications in these systems. The co…
Predicting the Future Performance of the Planned Seismic Network in Mainland China
Jiawei Li, Arnaud Mignan, Didier Sornette +1
The new broadband seismic network in China will increase the number of stations from approximately 950 to 2000. The higher-resolution monitoring of the frequent smaller earthquakes…
Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings
Erik B. Myklebust, Ernesto Jiménez-Ruiz, Jiaoyan Chen +2
We have created a knowledge graph based on major data sources used in ecotoxicological risk assessment. We have applied this knowledge graph to an important task in risk assessment…
The compressible granular collapse in a fluid as a continuum: validity of a Navier-Stokes model with --rheology
Matthias Rauter
The incompressible -rheology has been used to study subaerial granular flows with remarkable success. For subaquatic granular flows, drag between grains and the pore fluid is…
Cyclic stress-dilatancy relations and associated flow for soils based on hypothesis of complementarity of stress-dilatancy conjugates
Anteneh Biru Tsegaye
Applicability of associated plasticity for particulate materials such as soils does not yield satisfactory results when Coulomb's theory of shear strength of soils is assumed, and…
A concise and critical literature review on approaches for the modelling of the deformation behavior of soils subjected to cyclic loads
Anteneh Biru Tsegaye
This paper focuses on state-of-the art of various approaches for the modelling of deformation behavior of soils when subjected to cyclic loading. The various approaches are broadly…
Comments on avalanche flow models based on the concept of random kinetic energy
Dieter Issler, James T. Jenkins, Jim N. McElwaine
In a series of papers, Bartelt and co-workers developed novel snow-avalanche models in which \emph{random kinetic energy} (a.k.a.\ granular temperature) is a key concept. The…
Linear Stability of the boundary layer under a solitary wave
Joris C. G. Verschaeve, Geir K. Pedersen
A theoretical and numerical analysis of the linear stability of the boundary layer flow under a solitary wave is presented. In the present work, the nonlinear boundary layer equati…