NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
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.
Elizabeth Mamros, Fabian MaaB, Thomas Gnaupel-Herold, A. E. Tekkaya, Brad L. Kinsey, Jinjin Ha
Stress superposition is one of the strategies used in metal deformation processes to increase the material formability, decrease the required forming forces, an
The elastic behaviour of grains bordering a free surface is analysed through the self-consistent grain-matrix interaction model. The approach proposed here
Daniel Josell, Thomas P. Moffat, Thomas Gnaupel-Herold, David Raciti, Martin Stauber, Yu Q, Liyang Chen, M Rawlik, Marco Stampanoni, Lucia Romano
A 〖Bi〗^(3+)-stimulated Au electrodeposition process in slightly alkaline 〖Na〗_3 Au(〖SO〗_3 )_2+〖Na〗_2 〖SO〗_3 electrolytes has been previously demonstrated for
Lyle Levine, Thien Phan, M. Hazar Șeren, Maxwell Praniewicz, Christopher D'Elia, Thomas Gnaupel-Herold, Kelly Nygren, J.Y. Peter Ko, Katherine Shanks, Nicholas Bachus, Jason Fox, Jared Tarr, Darren Pagan, Michael Hill
The following data files include residual elastic strain, residual stress, and part deflection results associated with the 2022 Additive Manufacturing Benchmark test series (AM Bench 2022) AMB2022-01
Lyle Levine, Thien Phan, Maria Strantza, Thomas Gnaupel-Herold, Bjorn Clausen, Darren Pagan, J. Y. Peter Ko, Donald Brown
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