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Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials

doctoral thesis by Joshua K. Smith, University of Washington, 2019
Place doctoral_thesis Q110932612
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Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials

Summary

Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials is a doctoral thesis[1].

Key Facts

  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials authored Joshua K. Smith[2].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's instance of is recorded as doctoral thesis[3].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's instance of is recorded as written work[4].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's OCLC number is recorded as 1117715633[5].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's language of work or name is recorded as English[6].
  • +2019-00-00T00:00:00Z marks the founding of Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials[7].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's work available at URL is recorded as http://hdl.handle.net/1773/44097[8].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+94'}[9].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+6'}[10].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's Handle ID is recorded as 1773/44097[11].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's title is recorded as Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials[12].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's thesis submitted to is recorded as University of Washington[13].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[14].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's thesis committee member is recorded as Jim Pfaendtner[15].
  • Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials's thesis committee member is recorded as Shaoyi Jiang[16].

Body

Designation and Status

Recorded instance of include doctoral thesis[3] and written work[4].

History and Context

+2019-00-00T00:00:00Z marks the founding of Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials[7].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . WorldCat. wikidata.org.
  2. [4] ↑ . WorldCat. wikidata.org.
  3. [2] ↑ . WorldCat. wikidata.org.
  4. [5] ↑ . WorldCat. wikidata.org.
  5. [6] ↑ . WorldCat. wikidata.org.
  6. [7] ↑ . WorldCat. wikidata.org.
  7. [8] ↑ . WorldCat. wikidata.org.
  8. [9] ↑ . WorldCat. wikidata.org.
  9. [10] ↑ . WorldCat. wikidata.org.
  10. [11] ↑ . WorldCat. wikidata.org.
  11. [12] ↑ . WorldCat. wikidata.org.
  12. [13] ↑ . WorldCat. wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . WorldCat. wikidata.org.
  15. [16] ↑ . WorldCat. wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials. Retrieved May 3, 2026, from https://4ort.xyz/entity/coupling-molecular-dynamics-and-machine-learning-to-accelerate-the-design-of-bioinspired-materials
MLA “Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/coupling-molecular-dynamics-and-machine-learning-to-accelerate-the-design-of-bioinspired-materials.
BibTeX @misc{4ortxyz_coupling-molecular-dynamics-and-machine-learning-to-accelerate-the-design-of-bioinspired-materials_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Coupling Molecular Dynamics and Machine Learning to Accelerate the Design of Bioinspired Materials}}, year = {2026}, url = {https://4ort.xyz/entity/coupling-molecular-dynamics-and-machine-learning-to-accelerate-the-design-of-bioinspired-materials}, note = {Accessed: 2026-05-03}}
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