Sentence examples for science of computational from inspiring English sources

Rapid improvements in computational power coupled with better understanding of hemodynamics have spawned the interdisciplinary science of computational medicine.

During the last decades, drug discoveries have tuned into the combination of experimental approaches and modern science of computational.

Importantly, the science of computational toxicology is reaching beyond basic research into the field of regulatory decision making and environmental health protection (Kavlock et al. 2009).

The development of improved linkages across the source-to-outcome continuum including the areas of chemical transformation and metabolism, better diagnostic/prognostic molecular markers, improved dose metrics, characterization of toxicity pathways, systems biology approaches, modeling frameworks, and uncertainty analysis is a major objective of the science of computational toxicology.

This introductory chapter sets the stage for the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science.

There are several major potential applications of biological descriptors in QSAR modeling that may advance the science and practice of computational toxicology.

Unfortunately, despite the potential benefits afforded by the use of computational science, information science, biomedical informatics, and information technology derived methods and tools to support CTS, there are also numerous reports that demonstrate that achieving such benefits in CTS environment is extremely challenging.

A common infrastructural basis for such activities is the use of computational science, information science, biomedical informatics, and information technology derived methods and tools (e.g., to support team collaboration, project planning, data management, knowledge generation, and results dissemination to name a few of many such applications) [ 1, 14].

We think that the readiness of these sort of data is a great opportunity for scientists interested in the social dynamics of science, especially in the context of computational social science.

The Holy Grail of computational science — scalable parallel computing — is still important but is just one supporting component of the internet revolution.

With the dramatic development of computational science and technology, computer simulation is playing an increasingly important role in scientific research and engineering practice, and is believed to bring about a profound revolution to the mode and means of these activities.