Numerical simulations, generally based on equations that describe a given model and on initial data, are being applied in an ever-expanding range of scientific disciplines to approximate processes at given points in time and space. With so-called inverse problems, this critical data is missing—researchers must reconstruct approximations of the input data or of the model underlying observable data in order to generate the desired predictions.... PHYS.ORG · 1 month
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Study reveals the neural basis of sensory hypersensitivity in people with autism  NEWS MEDICAL · 4 weeks
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Coronavirus massive simulations completed on Frontera supercomputer  SCIENCE DAILY · 5 days
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The phase stability network of all inorganic materials  Science Magazine · 1 month
One of the holy grails of materials science, unlocking structure-property relationships, has largely been pursued via bottom-up investigations of how the arrangement of atoms and interatomic bonding in a material determine its... more
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As COVID-19 spreads worldwide, leaders are relying on mathematical models to make public health and economic decisions. A new model improves tracking of epidemics by accounting for mutations in diseases. Now, the... more
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