Cycle 2 Advanced Manufacturing

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3D Printed Molding of High Aspect Ratio Cell-Impregnated Hydrogel Constructs
Post, August 7, 2026 • (University of Michigan) This research introduces a novel method to produce biomimetic shapes using low cost soluble 3D printed molds. Mesenchymal stem cells in alginate matrix cell viability was studied. The alginate stem cell structure is made in a construct that is 21 mm wide, 6 mm high, with an...

A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Concept Laser M2 Laser Powder Bed Fusion (L-PBF) stainless steel 316L build. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National Laboratory (ORNL). The dataset includes layer-wise...

A Co-Registered In-Situ and Ex-Situ Dataset from an Electron Beam Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-09)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This release contains a co-registered in-situ and ex-situ Peregrine dataset from a single Arcam Q10 Electron Beam Powder Bed Fusion (EB-PBF) Inconel 738 build. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National Laboratory (ORNL). The dataset includes layer-wise Near...

A Co-Registered In-Situ and Ex-Situ Dataset of Electrical, Acoustic, and CT Characteristics from Wire Arc Additive Manufacturing Process
Post, August 7, 2026 • (Oak Ridge National Laboratory) Recent progress in sensing techniques and data analytics tools have significantly accelerated the development of Wire Arc Additive Manufacturing (WAAM) systems. This data centric approach emphasizes leveraging available data throughout the production process to optimize performance. Integration of extensive data analysis provides the opportunity to improve...

A Co-Registered In-Situ and Ex-Situ Tensile Properties Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-11)
Post, August 7, 2026 • (Oak Ridge National Laboratory) This release contains a co-registered in-situ and ex-situ Peregrine dataset from five Concept Laser M2 Laser Powder Bed Fusion (L-PBF) stainless steel 316L builds containing 6,299 SS-J3 individually tracked tensile coupons. These data were collected at the Manufacturing Demonstration Facility (MDF) located at Oak Ridge National...

A Dynamic Plasticity Model for Rapidly-Heated 1045 Steel up to 1000 °C
Post, August 7, 2026 • (National Institute of Standards and Technology) This dataset contains raw mechanical data (strain, stress and strain rate curves and initial temperatures) for compression experiments performed on annealed 1045 steel using the NIST Kolsky Bar apparatus and a servohydraulic test machine that were used to generate fit coefficients for the plasticity...

A Fully Registered In-Situ and Ex-Situ Dataset for Metal Powder Bed Fusion Additive Manufacturing: Data Processing, Feature Extraction, Registration, and Uncertainties
Post, August 7, 2026 • (National Institute of Standards and Technology) This document details the data registration process for the previously published datasets from Additive Manufacturing Metrology Testbed (AMMT) parts, "Overhang Part X4," generated at the National Institute of Standards and Technology (NIST). The two datasets —one for process monitoring and the other for XCT...

AAA Fuels Handbook
Post, August 7, 2026 • (Argonne National Laboratory) PART A of this handbook is for metal alloy fuels. The metal alloy of transuranic elements (i.e., Pu, Np, Am, Cm, etc) in Zr, designated as TRU-Zr, is one of the primary candidate fuel types for the AAA system. The data found in the literature were critically...

Additive Manufacturing Benchmark 2022 Schema
Post, August 7, 2026 • (National Institute of Standards and Technology) This resource is the implementation in XML Schema [1] of a data model that describes the Additive Manufacturing Benchmark 2022 series data. It provides a robust set of metadata for the build processes and their resulting specimens and for measurements made on these in...

Additive Manufacturing Benchmark Test Series (AM-Bench) 2018 Test Descriptions
Post, August 7, 2026 • (National Institute of Standards and Technology) The Additive Manufacturing Benchmark Test Series (AM-Bench) is developing a continuing series of controlled benchmark tests, in conjunction with a conference series, with two initial goals: 1) to allow modelers to test their simulations against rigorous, highly controlled additive manufacturing benchmark test data, and...

Advanced Manufacturing of Thermal Protection System Tiles for Space Plane Atmospheric Reentry
Post, August 7, 2026 • (Oak Ridge National Laboratory, Sierra Space Corporation) Thermal protection systems (TPS) constitute a major material, engineering, and manufacturing challenge for space access. Atmospheric re-entry generates very high heats and requires advanced materials to withstand such conditions. Combining the required materials and integrating them into the vehicle is a major engineering...

AM Bench 2018 measurement results data: optical microscopy of laser-scanned single tracks on nickel Alloy 625 plates (AMB2018-02)
Post, August 7, 2026 • (National Institute of Standards and Technology) The following optical micrograph data files are provided in support of the AM Bench 2018 modeling challenges associated with bare plate single track laser scans performed on the NIST Additive Manufacturing Metrology Testbed. These measurements were used in the AMB2018-02 set of challenges associated...

AM Bench 2018 Residual Elastic Strain Measurements of 3D Additive Manufacturing Builds of IN625 Artifacts Using Neutron Diffraction and Synchrotron X-ray Diffraction
Post, August 7, 2026 • (National Institute of Standards and Technology) The development of large residual elastic strains and stresses during laser powder-bed fusion (LPBF) additive manufacturing is one of the most significant barriers to widespread adoption. Accurate modeling of these strains and stresses is broadly recognized as an effective tool for mitigating these challenges,...

AM Bench 2022 Microstructure Measurements for IN718 3D builds
Post, August 7, 2026 • (National Institute of Standards and Technology) The following data files include microstructure measurement results associated with the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) AMB2022-01 benchmark on laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects. The AM builds were performed on the NIST Additive...

AM Bench 2022: IN718 Serial Sectioning and X-ray Computed Tomography Measurement Data
Post, August 7, 2026 • (National Institute of Standards and Technology) These sets of automated serial sectioning electron backscatter diffraction (EBSD) and X-ray computed tomography (XRCT) measurements were designed to produce spatially registered, multi-modal datasets within a region of interest (ROI) of an additive manufacturing benchmark test series (AM Bench) nickel alloy 718 specimen produced...

AMB2025-02 Macroscale Quasi-Static Tensile Tests of PBF-L IN718
Post, August 7, 2026 • (National Institute of Standards and Technology) This challenge is a follow-on from AMB2022-01 laser powder bed fusion (PBF-LB) alloy Inconel 718 in the as-built condition (no heat treatment). Eight continuum-but-miniature tensile specimens were excised from the same size legs (2.5 mm width) of one original AMB2022-01 specimen (AMB2022-718-AMMT-B7-P4). Excised tensile...

AMVOS: Additive Manufacturing Video Object Segmentation Dataset
Post, August 7, 2026 • (Oak Ridge National Laboratory) This dataset provides labeled video frames from four additive manufacturing (AM) processes for video object segmentation (VOS) tasks. It contains 90 video segments comprising 900 individually annotated frames across five AM datasets: laser hot-wire directed energy deposition (LHW-DED), tungsten inert gas wire arc additive manufacturing (TIG-WAAM),...

Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform V2
Post, August 7, 2026 • (University of South Carolina) This paper presents two industry-grade datasets captured during an 8-hour continuous operation of the manufacturing assembly line at the Future Factories Lab, University of South Carolina, on 08/13/2024. The datasets adhere to industry standards, covering communication protocols, actuators, control mechanisms, transducers, sensors, and cameras. Data collection...

Annotated NDE Dataset for Structural Defects
Post, August 7, 2026 • (University of North Dakota) SDNET2021 is a uniquely validated annotated dataset for evaluating the condition of concrete bridge decks and benchmarking advanced deep learning models for defects (delamination, cracks, rebar corrosion) detection and bridge deck evaluation. SDNET2021 contains 1,936 annotated IE signals, over 663,102 annotated GPR signals and five (5)...

Comprehensive, Multi-Source Cyber-Security Events
Post, August 7, 2026 • (Los Alamos National Laboratory) This data set represents 58 consecutive days of de-identified event data collected from five sources within Los Alamos National Laboratory’s corporate, internal computer network. The data sources include Windows-based authentication events from both individual computers and centralized Active Directory domain controller servers; process start and stop...

Computational Materials for Qualification and Certification (CM4QC) Strategy Document: Maturation of Computational Materials Methods for Aviation-Focused Qualification and Certification of Metal Additive Manufacturing (as an Example of Process-Intensive Materials)
Post, August 7, 2026 • (National Aeronautics and Space Administration, Federal Aviation Administration) This report was written to address the U.S. aviation industry’s need to increase the efficiency of qualification and certification (Q&C) of process-intensive aviation components through the maturation and adoption of computational materials (CM) methods. A key challenge in the introduction of these...

COREVQA
Post, August 7, 2026 • (University of California, Irvine) Recently, many benchmarks and datasets have been developed to evaluate Vision-Language Models (VLMs) using visual question answering (VQA) pairs, and models have shown significant accuracy improvements. However, these benchmarks rarely test the model's ability to accurately complete visual entailment, for instance, accepting or refuting a hypothesis...

CORR-DATA
Post, August 7, 2026 • (National Institute of Standards and Technology) The data describe observations of various samples in potentially corrosive environments under particular conditions (concentrations and temperatures) to see if, how, and at what rate they corrode. The data include over 24,000 records which have been extracted from over 250 different source documents.The data...

Cybersecurity Framework Manufacturing Profile Low Security Level Example Implementations for Discrete-based Manufacturing System Datasets
Post, August 7, 2026 • (National Institute of Standards and Technology) The Cybersecurity Framework Manufacturing Profile Low Security Level Example Implementations Guide provides example proof-of-concept solutions demonstrating how open-source and commercial off-the-shelf (COTS) products that are currently available today can be implemented in manufacturing environments to satisfy the requirements in the Cybersecurity Framework (CSF) Manufacturing...
Results 1–25 of 79