The Materials Data Scientist
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The document presents an overview of advanced materials science, focusing on various material types, their testing methods, and applications in data science. It emphasizes the importance of data analysis and modeling in understanding material properties and processing. Key skills for success in this field include technical proficiency, creativity, and collaborative problem-solving.
The Materials Data Scientist
- 1. A PRESENTATION BY TONY FAST
- 4. STEEL AGE
- 5. STEEL ALUMINUM NANOTECHNOLOGY BIOMATERIALS POLYMERS FIBER COMPOSITES AMORPHOUS METALS SEMICONDUCTORS MAGNETIC MATERIALS CERAMICS
- 7. PERFORMANCE
- 8. METERS10-9 10-3 HIERARCHICAL NATURE OF MATERIALS P E R F O R M A
- 9. @BrockDavis
- 14. RITCHIE GROUP, LLNL HIGH TEMPERATURE IN SITU TENSILE TESTING OF SiC-SiC MINICOMPOSITES
- 15. RITCHIE GROUP, LLNL HIGH TEMPERATURE IN SITU TENSILE TESTING OF C-SiC TEXTILES
- 16. VOORHEES GROUP, NORTHWESTERN IN SITU VISUALIZATION OF SOLIDIFCATION INTERFACES IN AL-CU
- 17. STITCHED ELECTRON BACKSCATTERED DIFFRACTION OF HEXAGONAL METALS KALIDINDI GROUP, GATECH
- 19. FINITE ELEMENT CRYSTAL PLASTICITY MODELS
- 20. MOLECULAR DYNAMICS SIMULATIONS OF ALUMINUM POTENTIALS
- 21. MOLECULAR DYNAMICS FOR POLYMERIC MATERIALS JACOBS GROUP, GATECH
- 23. EBSD detector Sample Indenter tip SEM pole piece Step 6 Step 1Step 2Step 3Step 4Step 5 KALIDINDI GROUP, GATECH IN SITU NANOINDENTATION & BACKSCATTERED ELECTRON DIFFRACTION
- 24. MATERIALS SCIENCE DATA HIGH DIMENSIONAL, MULTIOMODAL, SPATIOTEMPORAL, PARTIAL DATASETS
- 25. THE PAST ISN”T THE FUTURE
- 26. β-Titanium REDUCED OUTPUT: Grain size Grain Faces Number of Grains Mean Curvature Nearest Grain Analysis ROWENHORST, LEWIS, SPANOS, ACTA MAT, 2010
- 27. DATA SCIENCE APPLICATIONS FOR STRUCTURAL MATERIALS
- 28. SCALABLE ALGORITHMS FEATURE IDENTIFICATION ANOMOLY DETECTION STATISTICAL ANALYSIS COMPUTER VISION IMAGE SEGMENTATION BACKGROUND REMOVAL SIGNAL DECONVOLUTION CLASSIFICATION REGRESSION
- 29. FFT BASED METHODS FOR SPATIAL STATISTICS A GENERALIZED FEATURE IDENTIFIER
- 30. FIBER SEGMENATION IN LOW CONTRAST IMAGES
- 31. DIMENSION REDUCTION, CLASSIFICATION, & COMPRESSION HIGH DIMENSIONAL, MULTIOMODAL, SPATIOTEMPORAL, PARTIAL DATASETS
- 32. MODEL VERIFICATION & VALIDATION IN MOLECULAR DYNAMICS
- 33. CLASSIFICATION OF PROCESSING HISTORY IN TITANIUM ALLOYS
- 34. REGRESSION MODELS FOR FORWARD MODELS & PRIOR KNOWLEDGE Localization Homogenization 10-9 m 10-3 m
- 35. FORWARD REGRESSION MODELS FOR FUEL CELLS MPL GDL Homogenization
- 38. Localization INVERTABLE MATERIALS KNOWLEDGE SYSTEMS FOR COMPOSITES SCALABLE, ACCURATE, INVERTIBLE METAMODELS
- 40. “Being able to manipulate text files at the command-line, understanding vectorized operations, thinking algorithmically; these are the hacking skills that make for a successful data hacker.” DREW CONWAY’S PRIMARY COLORS OF DATA SCIENCE
- 41. TECHNICAL SKILLS USES DATA AS CURRENCY IS A SCIENTIST NOT A PROGRAMMER ADDRESSES OBJECTIVES NO PIPELINES USES VERSION CONTROL CAPABLE IN SEVERAL PROGRAMMING LANGUAGES SOFT SKILLS SOCIAL INQUISITIVE POLYMATH CREATIVE PROBLEM SOLVER
- 42. WHERE TO START BY FIXING THIS