The phrase "a class of structure" is correct and usable in written English.
It can be used in contexts related to categorizing or defining types of structures in various fields such as architecture, biology, or data science.
Example: "In our study, we identified a class of structure that exhibits unique properties under stress."
Alternatives: "a category of structure" or "a type of structure".
Of particular interest is a class of structures where the structural properties evolve with time.
The creations belong to a class of structures known as metal-organic frameworks — MOFs, for short — that are rigid and porous.
This is a typical model-theoretic definition, defining a class of structures (in this case, the class known to the lawyers as trusts).
Here, the vibrational response of a locally excited master structure is studied analytically for a class of structures involving an arbitrary number of substructure arrays.
The Foulis-Randall example, for instance, does not rule out the existence of a satisfactory tensor product for a class of structures larger than that of orthomodular posets, nor for one smaller than that of orthomodular lattices.
Attention is given to determining the exact natural frequencies and modes of vibration of a class of structures comprising any number of related parallel members that are connected to each other, and possibly also to foundations, by uniformly distributed elastic interfaces of unequal stiffness.
Each shape describes a class of structures, and within each class, the structure of minimum free energy is defined as the shape representative structure, called shrep for short.
The key to quantification of the expected number of candidates is the singularity analysis of a pair of energy-filtered GF, namely that of a class of structures and that of the subclass of all such structures that are irreducible.
Therefore, we focus on transfer RNAs (tRNAs)—a class of noncoding RNAs with well-studied structure and function.
Structural equation models are a class of covariance structure models that have been used extensively in economics/business and social science but are still little used in the realm of biostatistics.
