Uncertainty Quantification News Today

Annually Aalto University awards the best 10 percent of doctoral theses. This year seven doctoral theses were honoured at the School of Science.The criteria for the Doctoral Thesis Award are academic quality, impact, and originality. The award is wor

GRENOBLE, France – Dec. 7, 2023 – A team comprising CEA-Leti, CEA-List and two CNRS laboratories has published a paper in Nature Communications presenting [...]

Many organizations are confused about what a digital twin actually is.

Data researchers, developers, data managers and program managers from the Department of Energy national laboratories visited Lawrence Livermore National [...]

APCON, Inc. to Showcase Solutions for the AI Evolution at Supercomputing ...

APCON, Inc. to Showcase Solutions for the AI Evolution at Supercomputing Denver Tradeshow (November 12-17, 2023)

Solar-induced chlorophyll fluorescence, or SIF, is a part of the natural process of photosynthesis. SIF can be measured from space by instruments such as the Orbiting Carbon Observatory-2 (OCO-2), making it a useful proxy for monitoring gross primary production (GPP), which is a critical component of Earth’s carbon cycle. The complex physical relationship between SIF and GPP is frequently studied using OCO-2 observations of SIF since they offer the finest spatial resolution available. However,...

Ensuring the nation’s electrical power grid can function with limited disruptions in the event of a natural disaster, catastrophic weather or a manmade [...]

Bimetal or laminated metal composites consisting of several metal or alloy layers can efficiently absorb the advantageous properties of each metal when utilised as raw materials for future remanufacturing. Their mechanical response characteristics and failure modes face uncertain challenges during the processing owing to the existence of heterogenous interfacial transition zones between layers. This work aims to study the uncertainty quantification in bending processing of a novel bimetal compos...

In oceanography, as in any scientific field, the goal is not to eliminate uncertainty in data, but instead to better quantify and clearly communicate its size and nature.