Simplicity as a Route to Impact in Materials Research
Source abstract
Abstract
Materials scientists and engineers desire to have an impact. In this Progress Report we postulate a close correlation between impact – whether academic, technological, or scientific – and simple solutions, here defined as solutions that are inexpensive, reliable, predictable, highly performing, “stackable” (i.e., they can be combined and compounded with little increase in complexity), and “hackable” (i.e., they can be easily modified and optimized). In light of examples and our own experience, we propose how impact can be pursued systematically in materials research through a simplicity‐driven approach to discovery‐driven or problem‐driven research.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Machine Learning in Materials Science · Electronic and Structural Properties of Oxides · Nanowire Synthesis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Materials Science & Engineering Iowa State University of Science and Technology 2220 Hoover Hall Ames IA 50011 USA
Department of Chemical & Biological Engineering Iowa State University of Science and Technology Sweeney Hall Ames IA 50011 USA
Ames Laboratory US Department of Energy Ames IA 50011 USA
Funding
Arnold and Mabel Beckman Foundation · Intel Corporation
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