Sentence examples for computational possibilities from inspiring English sources

"That creates flexibility in how we make our devices". Quantum devices offer computational possibilities that are not possible with today's computers, such as factoring large numbers and simulating chemical reactions.

Scientists at Cambridge, led by Max Perutz and John Kendrew, focused on the rapidly developing field of structural biology, combining X-ray crystallography with Molecular modelling and the new computational possibilities of digital computing (benefiting both directly and indirectly from the military funding of science).

Fruitful theoretical approaches to predict catalyst stability, to simulate transition states or assist catalyst characterization become available due to the computational possibilities generated by supercomputers.

According to literature, building form, construction and material choices may be powerful drivers of energy efficiency ⬜ but a very few studies have quantified their actual effect in different climate, and none of the study is based on today computational possibilities.

Computational possibilities of modern software routinely used in the quantum chemistry and the molecular mechanics and dynamics (MM/MD) can handle very large molecular systems containing hundreds or thousands of atoms.

GPUs are the tools that will open the door to new computational possibilities allowing faster, more accurate testing of hypotheses, but it is the developer behind the scenes creating the software running on GPUs that accelerates training and deploying for large data sets that will shorten the path to new discoveries.

This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality.

The computational possibility of the resolvent,, of in Lemma 2.7 and Theorem 3.1 is well defined mathematically, but, in general, the computation of is very difficult in large-scale finite spaces and infinite spaces.

These features are: computational optimization possibilities for real-time forecast system calibration; data replacement capabilities within retrospective ensemble extreme values analysis; and hard deadline features within uncertainty analysis of an urgent scenario for complex floods.

By identifying the areas where we can apply digital tools to metaphoric affordances and constraints, science educators and communicators can effectively harness the computational power and possibilities for interactive user engagement that these tools provide.

Therefore, the two-stage approach was utilized due to greater computational flexibility and possibility to explore s various models such as single-marker regression and nonparametric methods that allow for the detection of interaction terms.