Ai Feedback
Exact(5)
For a long time, the prediction of molecular crystal structures from first principles has been one of the most challenging computational problems.
Many of the most challenging computational problems arising in the practical world are tackled today by heuristic algorithms that have not been mathematically proven to outperform other approaches but have been shown to be effective empirically.
Assemblies rank among the most challenging computational problems in the NGS field (Birney, 2011).
Assembly is one of the most challenging computational problems in the field of NGS data.
With the rapid growth of sequence data, genome assembly remains one of the most challenging computational problems in genomics.
Similar(55)
Estimation of small failure probabilities is one of the most important and challenging computational problems in reliability engineering.
The first-principles evaluation of the binding energies of molecules to chemical accuracy (i.e. ± kcal/mol) is one of the most challenging problems in computational quantum chemistry.
Therefore the most challenging topics in computational simulation probably can be identified as the chemical physical models for a high-temperature gaseous medium.
To theoretically study the structures of metal clusters on oxides is very important and becomes one of the most challenging works in computational heterogeneous catalysis since many factors affect their structures and lead to various possibilities.
Contact: [email protected] Despite significant progress in recent years, ab initio protein folding is still one of the most challenging problems in computational structural biology.
Prediction of protein structure from amino-acid sequences has been one of the most challenging problems in computational structural biology for many years [ 1, 2].
Related(20)
most complex computational
most challenging conceptual
most challenging theoretical
most demanding computational
most challenging numerical
most complicated computational
most challenging computer
most powerful computational
most advanced computational
most important computational
most accurate computational
most established computational
most suitable computational
most efficient computational
most practical computational
most urgent computational
most traditional computational
most recent computational
most famous computational
most extensive computational
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com