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- Sandia National Laboratories CaliforniaUS117 papers
- Center for Integrated NanotechnologiesUS64 papers
- University of New MexicoUS47 papers
- Los Alamos National LaboratoryUS38 papers
- Lawrence Livermore National LaboratoryUS29 papers
- Oak Ridge National LaboratoryUS27 papers
- Princeton UniversityUS24 papers
- Massachusetts Institute of TechnologyUS22 papers
- University of California, BerkeleyUS20 papers
- Lawrence Berkeley National LaboratoryUS19 papers
- Purdue University West LafayetteUS19 papers
- University of Maryland, College ParkUS18 papers
7 papers · 2 filters
Nanoscale and Element-Specific Lattice Temperature Measurements using Core-Loss Electron Energy-Loss Spectroscopy
Levi D. Palmer, Wonseok Lee, Daniel B. Durham +5
Measuring nanoscale local temperatures, particularly in vertically integrated and multi-component systems, remains challenging. Spectroscopic techniques like X-ray absorption and c…
Direct measurement of 2DEG states in shallow Si:Sb -layers
Frode S. Strand, Simon P. Cooil, Quinn T. Campbell +13
We investigate the electronic structure of high-density layers of Sb dopants in a silicon host, so-called Si:Sb -layers. We show that, in spite of the known challenges in produc…
Epitaxial aluminum layer on antimonide heterostructures for exploring Josephson junction effects
W. Pan, K. R. Sapkota, P. Lu +13
In this article, we present results of our recent work of epitaxially-grown aluminum (epi-Al) on antimonide heterostructures, where the epi-Al thin film is grown at either room tem…
Tuning the spin dynamics and magnetic phase transitions of the Cantor alloy via composition and sample processing protocols: A muon spin relaxation study
Emma Zappala, Timothy A. Elmslie, Gerald D. Morris +4
CrMnFeCoNi, also called the Cantor alloy, is a well-known high-entropy alloy whose magnetic properties have recently become a focus of attention. We present a detailed muon spin re…
Bayesian optimization for stable properties amid processing fluctuations in sputter deposition
Ankit Shrivastava, Matias Kalaswad, Joyce O. Custer +2
We introduce a Bayesian optimization approach to guide the sputter deposition of molybdenum thin films, aiming to achieve desired residual stress and sheet resistance while minimiz…
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response
Ravi Patel, Cosmin Safta, Reese E. Jones
Composite materials with different microstructural material symmetries are common in engineering applications where grain structure, alloying and particle/fiber packing are optimiz…