"deeply exploring" is a correct and usable phrase in written English.
You can use it when discussing an in-depth examination of a subject, such as a research project or an investigation. For example: "The team is committed to deeply exploring the issue and finding the most appropriate solution."
A fresh imaginative influence was supplied by Nathaniel Hawthorne's Scarlet Letter, a novel deeply exploring good and evil in the human being, which Melville read in the spring of 1850.
Quite unnecessarily: it is verbal Vivaldi, gurgling and burbling deliciously along in its perfect cadences, its occasional unexpected harmonies, its calculated quirks, ever and anon modulating into a more tender, more reflective passage, hinting at, but never too deeply exploring, emotional depths, before speeding off into a joyous allegro vivace of infectious comic bravura.
This paper hopes to contribute to the local environmental governance literature through deeply exploring the role of mayors in realising 100% renewable energy in local municipalities.
Therefore, in the future more available approaches should be used for deeply exploring the microbial process involved in the biochar-mediated mitigation, especially in the detailed response of denitrification groups to biochar.
This may seem obvious but building a new career or making a life change means deeply exploring micro interests in your life and not just your current macro state.
They wrote in their paper, published in Cell Metabolism: "Our study offers a rationale for deeply exploring the role of amino acids in prevention and control of age-related disorders in humans". The amino acids - three of the 20 that make up proteins - have been shown to extend life span in yeast.
Africa is mostly a backdrop, though, never deeply explored.
But, in a short story, you can deeply explore certain questions or preoccupations.
The many reasons that harassment goes unreported have been deeply explored.
Case studies enable us to deeply explore a particular act and its development over time.
Since the mid 90's, Barbara has deeply explored data warehousing, business intelligence, analytics, and big data.
