1.9k citations
- Lawrence Berkeley National LaboratoryUS4 papers
- Applications Research (United States)US3 papers
- System Science Applications (United States)US2 papers
- Argonne National LaboratoryUS1 paper
- Brookhaven National LaboratoryUS1 paper
- Changchun Institute of Optics, Fine Mechanics and PhysicsCN1 paper
- Chinese Academy of SciencesCN1 paper
- Clarendon CollegeUS1 paper
- Cochin University of Science and TechnologyIN1 paper
- Dublin City UniversityIE1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Excelencia in EducationUS1 paper
12 papers
Quantum-Assisted Graph Domination Games
C. Weeks, P. Strange, P. Drmota +1
We study quantum advantage in the 1-step graph domination game on cycle graphs numerically, analytically and through the use of Noisy intermediate scale quantum (NISQ) processors.…
Unveiling the Miniband Structure of Graphene Moiré Superlattices via Gate-dependent Terahertz Photocurrent Spectroscopy
Juan A. Delgado-Notario, Stephen R. Power, Wojciech Knap +9
Moiré superlattices formed at the interface between stacked two-dimensional atomic crystals offer limitless opportunities to design materials with widely tunable properties and eng…
On minimal flat-injective presentations over local graded rings
Fritz Grimpen, Anastasios Stefanou
Flat-injective presentations were introduced by Miller (2020) to provide combinatorial descriptions of -graded modules. We consider them in the setting of local graded…
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies
Zhuowen Zhao, Tanny Chavez, Elizabeth A. Holman +14
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data p…
Autonomous Investigations over WS and Au{111} with Scanning Probe Microscopy
John C. Thomas, Antonio Rossi, Darian Smalley +14
Individual atomic defects in 2D materials impact their macroscopic functionality. Correlating the interplay is challenging, however, intelligent hyperspectral scanning tunneling sp…
Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes
Marcus M. Noack, James A. Sethian
Gaussian process regression is a widely-applied method for function approximation and uncertainty quantification. The technique has gained popularity recently in the machine learni…