Sentence examples for physical and computer from inspiring English sources

Exact(18)

Recent developments in physical and computer sciences enable quantitative predictions the kinetics of chemical reactions and thermodynamic data from first principles by multiscale modeling.

In addition to more traditional strategic nuclear threats (discussed below), our national infrastructure is vulnerable to disruptions by other forms of physical and computer attack.

Of the 1,050 postdocs in the mathematical, physical and computer sciences and in engineering, 58 were from underrepresented minority groups.

Established in 2018, the Life Sciences Lecture Series brings together colleagues from the natural, physical, and computer sciences and engineering communities in a single forum.

The events convene Yale faculty and researchers interested in commercializing ideas for drug discovery and biological therapeutics, as well as those focused on physical and computer sciences, engineering, software, and services.

Our objective in this work is to provide a better understanding of the various model updating strategies that utilize mathematical means to update a computer model based on both physical and computer observations.

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Similar(42)

Simulation, both physical and computer-based, has a rich history in support of medical education.

They tried several different lengths of exposure to the eyewear, different strobe rates and many physical and computer-based tasks.

nte Carlo method (MC .This approach, which integrates the fields of physical and computer-based simulations, forms the basis for the described concept of integrated high-temperature process modelling, presented in detail in this book.

Because of the relative paucity of studies clearly defining the tidemark and subjacent structures in normal cartilage, we were prompted to perform 3D reconstructions, both physical and computer-generated.

- Mathematical, physical and computational aspects of computer vision: image formation, processing, analysis, and interpretation; machine learning techniques; statistical approaches; sensors.

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