Work

A Framework for Closed-Loop Optimization of an Automated Mechanical Serial-Sectioning System via Run-to-Run Control as Applied to a Robo-Met.3D

Year: 2022

Type: article

Source: JOM

DOI: 10.1007/s11837-022-05372-3

Authors: D. Gallegos-Patterson, K. Ortiz, C. Danielson, J. D. Madison, A. T. Polonsky

Institutions: University of New Mexico, Sandia National Laboratories, U.S. National Science Foundation

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: National Science Foundation, U.S. Department of Energy, National Nuclear Security Administration, Sandia National Laboratories

Awards: G11630931, G2214935549, G288067973, Collaborative Research: Negotiated Planning for Stochastic Control of Dynamical Systems, G413247060, G4771968897, G4903105778, G5339743583, G6338696783, G855168022

OpenAlex ID: W4283363273

FWCI: 0.134

Cites: 22

Cited by: 3

Related to: 10