43 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Agency for Science, Technology and ResearchSG4 papers
- A*STAR Graduate AcademySG2 papers
- Institute of Materials Research and EngineeringSG2 papers
- Academy of AthensGR1 paper
- Bear ValleyUS1 paper
- Chinese Academy of SciencesCN1 paper
- Consejo Nacional de Investigaciones Científicas y TécnicasAR1 paper
- Drexel UniversityUS1 paper
- Eureka ScientificUS1 paper
- European Space Research and Technology CentreNL1 paper
- Fundación Ciencias Exactas y NaturalesAR1 paper
- Goddard Space Flight CenterUS1 paper
10 papers
Updating GEANIE Pu prompt -ray experimental data using modern Hauser-Feshbach fission fragment decay model
Toshihiko Kawano, Amy E. Lovell, Patrick Talou +1
We calculate fission rays for neutron-induced reactions on Pu with the Hauser-Feshbach fission fragment decay model. By applying the calculated fission rays as a ba…
BASS LIV. Physical Properties of AGN-Hosting Galaxy Mergers from Multiwavelength SED Fitting
Marco Troncoso, Ezequiel Treister, Alejandra Rojas +17
Galaxy mergers are believed to play an important role in triggering rapid supermassive black hole (SMBH) growth. As merging nuclei approach each other, the physical properties of t…
EigenCWD: a spatially-varying deconvolution algorithm for single metalens imaging
Joel Yeo, Duane Loh, Ramon Paniagua-Dominguez +1
The miniaturization of optics through the use of two-dimensional metalenses has enabled novel applications in imaging. To date, single-lens imaging remains the most common configur…
Dynamic Tuning of Single-Photon Emission in Monolayer WSe2 via Localized Strain Engineering
Yi Yu, Junyu Ge, Manlin Luo +9
Two-dimensional (2D) materials have emerged as promising candidates for next-generation integrated single-photon emitters (SPEs). However, significant variability in the emission e…
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generation
Yinghua Yao, Yuangang Pan, Jing Li +2
Recent advancements in the realm of deep generative models focus on generating samples that satisfy multiple desired properties. However, prevalent approaches optimize these proper…
Advancing Community Engaged Approaches to Identifying Structural Drivers of Racial Bias in Health Diagnostic Algorithms
Jill A. Kuhlberg, Irene Headen, Ellis A. Ballard +1
Much attention and concern has been raised recently about bias and the use of machine learning algorithms in healthcare, especially as it relates to perpetuating racial discriminat…
Participatory Problem Formulation for Fairer Machine Learning Through Community Based System Dynamics
Donald Martin, Vinodkumar Prabhakaran, Jill Kuhlberg +2
Recent research on algorithmic fairness has highlighted that the problem formulation phase of ML system development can be a key source of bias that has significant downstream impa…
Machine Learning for Novel Thermal-Materials Discovery: Early Successes, Opportunities, and Challenges
Hang Zhang, Kedar Hippalgaonkar, Tonio Buonassisi +3
High-throughput computational and experimental design of materials aided by machine learning have become an increasingly important field in material science. This area of research…
Stochastic Geometry-Based Performance Bounds for Non-Fading and Rayleigh Fading Ad Hoc Networks
Hieu Duy Nguyen, Sumei Sun
In this paper, we study the performance of non-fading and Rayleigh fading ad hoc networks. We first characterize the distribution of the signal-to-interference-plus-noise ratio (SI…
25 Years of Self-Organized Criticality: Numerical Detection Methods
R. T. James McAteer, Markus J. Aschwanden, Michaila Dimitropoulou +5
The detection and characterization of self-organized criticality (SOC), in both real and simulated data, has undergone many significant revisions over the past 25 years. The explos…