U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Search Publications

NIST Authors in Bold

Displaying 1 - 25 of 2262

Insights on grain refinement of Al-Mn-Fe-Si alloy via in situ reaction during laser direct energy deposition

February 2, 2025
Author(s)
Qingyu Pan, Fan Zhang, Deepak Vikraman Pillai, Zilong Zhang, Yufeng Zheng, Lang Yuan, Monica Kapoor, John Carsley, Xiaoyuan Lou
In the present work, we studied the grain refinement by adding in situ reactants, pure titanium (Ti) or a combination of Ti and boron (B), and investigated the governing mechanism in Al-Mn-Fe-Si 3104 alloy made by laser direct energy deposition (DED)

Additive Construction - The Path to Standardization II: Workshop Report

January 16, 2025
Author(s)
Shawn Platt
The "Additive Construction – The Path to Standardization II" workshop, hosted by the National Institute of Standards and Technology (NIST) and U.S. Army Engineer Research and Development Center (ERDC), brought together key players from the additive

A Helmholtz Energy Equation of State for 3,3,3-Trifluoroprop-1-ene (R-1243zf)

January 15, 2025
Author(s)
Ryo Akasaka, Eric Lemmon
A new fundamental equation of state expressed as a function of the Helmholtz energy is presented for 3,3,3-trifluoroprop-1-ene (R-1243zf). The equation is valid from the triple point temperature (122.35 K) to 430 K at pressures up to 35 MPa. The expected

Hybrid-LLM-GNN: Integrating Large Language Models and Graph Neural Networks for Enhanced Materials Property Prediction

December 18, 2024
Author(s)
Youjia Li, Vishu Gupta, Talha Killic, Kamal Choudhary, Daniel Wines, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Graph-centric learning has attracted significant interest in material informatics. Accordingly, a family of graph-based machine learning models, primarily utilizing Graph Neural Networks (GNN), has been developed to provide accurate material properties

PVDF-based Backsheet Cracking: Mapping In Situ Phase Evolution by X-ray Scattering

December 15, 2024
Author(s)
Stephanie Moffitt, Sona Ulicna, Song-Syun Jhang, Po-Chang Pan, Michael Owen-Bellini, Peter Hacke, Michael Kempe, Jared Tracy, Kaushik Choudhury, Laura Schelhas, Xiaohong Gu
One of the most common polymers in commercial photovoltaic (PV) backsheets is polyvinylidene fluoride (PVDF). However, recent reports have shown the potential for PVDF-based backsheets to crack and fail prematurely. Previous work has suggested that polymer

An Electrically Conducting Metal-Organic Framework Having Two Orthogonal Transport Pathways

December 12, 2024
Author(s)
Shiyu Zhang, Weikang Zhang, Ashok Yadav, Md. Ansari, Jonathan Cromer, Jorge Moreno, Gavin McCarver, Wei Zhou, Sourav Saha
Owing to their diverse potential applications in electronics and energy technologies, electrically conducting metal–organic frameworks (EC-MOFs) have emerged as one of the most coveted functional materials of the twenty-first century. Among various MOF

Development and performance of a low-cost, solid-state, thermal neutron sensor with a 10B converter

December 5, 2024
Author(s)
Priscila Costa, Jamie Weaver, M Raele, Kevin Pritchard, Juscelino Leao, C Domienikan, Nicholas C. Maliszewskyj, F da Silva, W Pereira, Frederico Genezini
This study demonstrates the construction and operation of a portable, solid-state thermal neutron sensor that utilizes a photodiode coated with a thin layer of boron-10 (10B). The boron layer was created using pulsed laser deposition and analyzed through

Atomistic Origins of Conductance Switching in an e-Cu0.9V2O5 Neuromorphic Single Crystal Oscillator

December 4, 2024
Author(s)
Cherno Jaye, Conan Weiland, Daniel Fischer, John Ponis, Nicholas Jerla, George Agbeworvi, Saul Perez-Beltran, Nitin Kumar, Kenna Ashen, Jialu Li, Edrick Wang, Michelle A. Smeaton, Fatme Jardali, Sarbajeet Chakraborty, Patrick J. Shamberger, Katherine L. Jungjohann, Lu Ma, Jinghua Guo, G Sambandamurthy, Xiaofeng Qian, Sarbajit Banerjee
: Building artificial neurons and synapses is key to achieving the promise of energy efficiency and acceleration envisioned for brain-inspired information processing. Emulating the spiking behavior of biological neurons in physical materials requires

Precipitation hardening of laser powder bed fusion Ti-6Al-4V

November 20, 2024
Author(s)
Nicholas Derimow, Jake Benzing, Jacob Garcia, Zachary Levin, Ping Lu, Newell Moser, Chad Beamer, Frank DelRio, Nikolas Hrabe
The laser powder bed fusion (PBF-L) additive manufacturing (AM) community has dedicated significant efforts into process optimization and control for defect-free Ti-6Al-4V. As defects become less of an issue for PBF-L Ti-6Al-4V, the processing-structure

Clarifying the Formation of Equiaxed Grains and Microstructural Refinement in the Additive Manufacturing of Binary Ti-Cu

November 14, 2024
Author(s)
Alec Saville, Adriana Eres-Castellanos, Andrew Kustas, Levi Van Bastian, Donald Susan, Dale Cillessen, Sven Vogel, Natalie Compton, Kester Clarke, Amy Clarke
Controlling microstructural evolution in metallic additive manufacturing (AM) is difficult, especially in producing refined as-built grains instead of coarse, directional grains. Traditional solutions involve adding inoculants to AM feedstocks, but

Workshop Report on Autonomous Methodologies for Accelerating X-ray Measurements

November 5, 2024
Author(s)
Zachary Trautt, Austin McDannald, Brian DeCost, Howard Joress, A. Gilad Kusne, Francesca Tavazza, Tom Blanton
The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and prioritize the goals, challenges, and opportunities for critical and emerging technology needs

Broadband Characterization of Flexible Conductor-Dielectric Composites

November 4, 2024
Author(s)
Luckshitha Suriyasena Liyanage, Nathan Orloff, Nicholas Jungwirth, Sarah Evans, Christian Long, Angela Stelson, Jacob Pawlik, James Booth
Broadband measurements are important for characterizing a wide range of materials for communications applications at microwave and mm-wave frequencies. Here we report on broadband measurements of the effective permittivity of conductor-dielectric flexible

Prediction of Magnetic Properties in van der Waals Magnets using Graph Neural Networks

November 4, 2024
Author(s)
Kamal Choudhary, Peter Minch, Trevor David Rhone, Romakanta Bhattarai
We study two-dimensional (2D) magnetic materials using state-of-the-art machine learning models that use a graph-theory framework. We find that representing materials as graphs allows us to better learn structure-property relationships by leveraging both

Two-fluid model for nonlinear flow of wormlike micelle solutions. I: Model

November 1, 2024
Author(s)
Paul Salipante, Michael Cromer, Steven D. Hudson
We develop a rheological model to approximate the nonlinear rheology of wormlike micelles using two constitutive models to represent a structural transition at high shear rates. The model is intended to describe the behavior of semidilute wormlike micellar

Two-fluid model for nonlinear flow of wormlike micelle solutions. II: Experiment

November 1, 2024
Author(s)
Paul Salipante, Michael Cromer, Steven D. Hudson
Applications often expose wormlike micelle solutions to a very wide range of shear and temperature conditions. The two-species model presented in Part I [Salipante et al., J. Rheol. 68 (2024)] describes the nonlinear rheology over a wide range of shear

Microstructure and mechanical properties of laser powder bed fusion Ti-6Al-4V after HIP treatments with varied temperatures and cooling rates

October 22, 2024
Author(s)
Nicholas Derimow, Jake Benzing, Howard Joress, Austin McDannald, Ping Lu, Frank DelRio, Newell Moser, Matthew Connolly, Alec Saville, Orion Kafka, Chad Beamer, Ryan Fishel, Chris Hadley, Nikolas Hrabe
This work investigated non-standard HIP cycles for PBF-L Ti-6Al-4V and characterized microstructure and tensile properties to compare between material that originated from the same build. For 920 °C, faster cooling rates (100 °C/min, 2000 °C/min) were
Displaying 1 - 25 of 2262