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Computational materials science and industrial R&D: accelerating progress.

, and . Comput. Sci. Eng., 3 (1): 67-71 (2001)

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Characterizing complex particle morphologies through shape matching: Descriptors, applications, and algorithms., , and . J. Comput. Phys., 230 (17): 6438-6463 (2011)Scalable Metropolis Monte Carlo for simulation of hard shapes., , and . Comput. Phys. Commun., (2016)NSDL MatDL: Exploring Digital Library Roles., , , , and . D Lib Mag., (2005)Scalable Metropolis Monte Carlo for simulation of hard shapes., , and . CoRR, (2015)Scientific research groups, digital libraries, & education: metadata from nanoscale simulation code., , , and . JCDL, page 348. ACM, (2006)Development of a wiki-based, expert community-driven nanosystem vocabulary., , , and . Dublin Core Conference, Dublin Core Metadata Initiative, (2006)Analyzing Particle Systems for Machine Learning and Data Visualization with freud., , , , , and . SciPy, page 27-33. scipy.org, (2019)Spatial correlations of particle displacements in a glass-forming liquid, , and . Physica A: Statistical and Theoretical Physics, 261 (1-2): 51--59 (Dec 1, 1998)Harmonic Order Parameters for Characterizing Complex Particle Morphologies, , and . CoRR, (2010)coxeter: A Python package for working with shapes., , , and . J. Open Source Softw., 6 (63): 3098 (2021)