Furthermore, in this era of data-driven materials science, theory serves as a basis for encoding materials data, as with thermodynamic data of materials, and in generating such data, as in using, say, ab initio or mesoscale models to generate structure and property data at various length and time scales.
The theory of materials will thus continue to play a major role in advancing materials science, not only at the level of developing mathematical models describing the ever increasing complexity of materials but also in enabling predictive data-driven materials research.
In the past few decades, such materials datasets have led to the new data-driven paradigm of materials informatics14,15,16,17,18,19.
The collected data are utilized for the inexpensive data-driven determination of bulk material non-linear constitutive behavior models as a consequence of generalized loading through parameter identification/estimation methodologies based on the inverse approach.
Data-driven review of thermoelectric materials: Performance and resource considerations.
Through his published decisions on the U.S. Court of Appeals for the D.C. Circuit (where he has reviewed cases since 2006), Kavanaugh provides ample material for this type of data-driven investigation.
This work investigates the viability of establishing low (computational) cost, data-driven, surrogate models for previously established numerical multiscale material models.
A statistical experiment design was employed for materials testing and the development of data-driven models.
This combination of high-level rhetoric and material incentives encourages district health officials to be more data-driven in their work – something which should be replicated.
These topological differences seem to be data-driven as our 16S rRNA ML tree (supplementary fig. S2, Supplementary Material online) recovered a different topology.
