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MAUD-Tutorial Files for "MAUD Rietveld Refinement Software for Neutron Diffraction Texture Studies of Single and Dual-Phase Materials"
Data provided by National Institute of Standards and Technology
This data set contains files included in the detailed instructional demonstration paper submitted to Integrating Materials and Manufacturing Innovation. The detailed instructional demonstration paper includes documentation detailing how to configure and carry out a repeatable Rietveld Refinement with the software MAUD. The data set provides: diffraction data from two different neutron diffraction measurements, crystallographic information files, and configuration files for the refinement process.
Tags: additive manufacturing,rietveld refinement,Titanium alloys,neutron diffraction,
Modified: 2024-02-22
Views: 0
Asynchronous AM Bench 2022 Challenge Data: Real-time, simultaneous absorptance and high-speed Xray imaging
Data provided by National Institute of Standards and Technology
The absolute laser absorption was measured simultaneously with X-ray imaging during laser melting of Ti-6Al-4V solid metal. The data included here are the time-resolved absolute absorbed power and the Xray images acquired at the same time, along with timing data for synchronization. Also included is information about the experimental configuration including applied laser power, laser beam spatial profile, and the experimental setup. A text document is included that describes all files.
Tags: additive manufacturing,Laser Welding,
Modified: 2024-02-22
Views: 0
NIST Inorganic Crystal Structure Database (ICSD)
Data provided by National Institute of Standards and Technology
Materials discovery and development necessarily begins with the preparation and identification of product phase(s). Crystalline compounds can be identified by their characteristic diffraction patterns using X-rays, neutrons, and or electrons. An estimated 20,000 X-ray diffractometers and a comparable number of electron microscopes are used daily in materials research and development laboratories for this purpose.
Tags: chemical structures,crystallography,crystal structures,diffraction,disorder,electrons,identification,inorganic,neutrons,magnetic,metals,minerals,materials,Rietveld,synchrotron,twinned,x-rays,Advanced Materials,manufacturing,Safety,Security and Forensics,
Modified: 2024-02-22
Views: 0
SHREC'09 track: querying with partial models
Data provided by National Institute of Standards and Technology
There are two objectives of this shape retrieval contest:
a) To evaluate partial similarity between query and target objects and retrieve complete 3D models that are relevant to a partial query object.
b) To retrieve 3D models those are relevant to a query depth map. This task corresponds to a real life scenario where the query is a 3D range scan of an object acquired from an arbitrary view direction. The algorithm should retrieve the relevant 3D objects from a database.
Task description
Tags: Information Search and Retrieval,3D Shape Retrieval,Partial 3D Models,
Modified: 2024-02-22
Views: 0
SHREC'09 Track: Generic Shape Retrieval
Data provided by National Institute of Standards and Technology
The objectives of this shape retrieval contest are to evaluate the performance of 3D shape retrieval approaches on a new generic 3D shape benchmark.
Task description: In response to a given set of queries, the task is to evaluate similarity scores with the target models and return an ordered ranked list along with the similarity scores for each query.
Tags: 3D Shape Retrieval,3D Models,Generic Shape Retrieval,Evaluation,
Modified: 2024-02-22
Views: 0
SHREC'10 Track: Generic 3D Warehouse
Data provided by National Institute of Standards and Technology
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a Generic 3D shape benchmark based on the Google 3D Warehouse.
Tags: 3D Shape Retrieval,3D Models,3D shape analysis,Evaluation and Measurement Science,
Modified: 2024-02-22
Views: 0
SHREC'10 track: Range scan retrieval
Data provided by National Institute of Standards and Technology
The objective of this shape retrieval contest is to retrieve 3D models those are relevant to a query range scan. This task corresponds to a real life scenario where the query is a 3D range scan of an object acquired from an arbitrary view direction. The algorithm should retrieve the relevant 3D objects from a database.
Task description: In response to a given set of queries, the task is to evaluate similarity scores with the target models and return an ordered ranked list along with the similarity scores for each query. The set of query consists of range images.
Tags: 3D Shape Retrieval,3D Models,3D Range Scans,Evaluation,
Modified: 2024-02-22
Views: 0
SHREC'15: Range Scans based 3D Shape Retrieval
Data provided by National Institute of Standards and Technology
The objective of this shape retrieval contest is to retrieve 3D models those are relevant to a query range scan. This task corresponds to a real life scenario where the query is a 3D range scan of an object acquired from an arbitrary view direction. The algorithm should retrieve the relevant 3D objects from a database.
Task description:
In response to a given set of range scan queries, the task is to evaluate similarity scores with the target models and return an ordered ranked list along with the similarity scores for each query.
Tags: Range Scans,3D Shape Retrieval,3D Models,Evaluation and Measurement Science,
Modified: 2024-02-22
Views: 0
SHREC'14 Track: Extended Large Scale Sketch-Based 3D Shape Retrieval
Data provided by National Institute of Standards and Technology
The objective of SHREC'14 Track is to evaluate the performances of different sketch-based 3D model retrieval algorithms using a large scale hand-drawn sketch query dataset on a generic 3D model dataset.
Tags: 3D Shape Retrieval,3D Models,Sketches,Evaluation,
Modified: 2024-02-22
Views: 0
SHREC'14 Track: Large Scale Comprehensive 3D Shape Retrieval
Data provided by National Institute of Standards and Technology
Objective:
The objective of this track is to evaluate the performance of 3D shape retrieval approaches on a large-sale comprehensive 3D shape database which contains different types of models, such as generic, articulated, CAD and architecture models.
Tags: 3D Shape Retrieval,Large-scale benchmark,Multimodal queries,Performance evaluation,Query-by-Model,Query-by-Example,Evaluation and measurement science.,
Modified: 2024-02-22
Views: 0