1.2k citations
- National Institute of Standards and TechnologyUS47 papers
- Material Measurement LaboratoryUS19 papers
- University of Maryland, College ParkUS14 papers
- Physical Measurement LaboratoryUS9 papers
- University of Massachusetts DartmouthUS8 papers
- University of Colorado BoulderUS6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- George Mason UniversityUS5 papers
- University of California, Los AngelesUS4 papers
- Alabama Agricultural and Mechanical UniversityUS3 papers
- Columbia UniversityUS3 papers
- Georgetown UniversityUS3 papers
10 papers · 1 filter
Geometric interference in a high-mobility graphene annulus p-n junction device
Son T. Le, Albert F. Rigosi, Joseph A. Hagmann +3
The emergence of interference is observed in the resistance of a graphene annulus pn junction device as a result of applying two separate gate voltages. The observed resistance pat…
Graph Neural Network Predictions of Metal Organic Framework CO2 Adsorption Properties
Kamal Choudhary, Taner Yildirim, Daniel Siderius +3
The increasing CO2 level is a critical concern and suitable materials are needed to capture such gases from the environment. While experimental and conventional computational metho…
Intrinsically accurate sensing with an optomechanical accelerometer
Benjamin J. Reschovsky, David A. Long, Feng Zhou +4
We demonstrate a microfabricated optomechanical accelerometer that is capable of percent-level accuracy without external calibration. To achieve this capability, we use a mechanica…
Recent Advances and Applications of Deep Learning Methods in Materials Science
Kamal Choudhary, Brian DeCost, Chi Chen +10
Deep learning (DL) is one of the fastest growing topics in materials data science, with rapidly emerging applications spanning atomistic, image-based, spectral, and textual data mo…
Hybrid-mode-family Kerr optical parametric oscillation for robust coherent light generation on chip
Feng Zhou, Xiyuan Lu, Ashutosh Rao +5
Optical parametric oscillation (OPO) using the third-order nonlinearity () in integrated photonics platforms is an emerging approach for coherent light generation, and has…
Atomistic Line Graph Neural Network for Improved Materials Property Predictions
Kamal Choudhary, Brian DeCost
Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machin…