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- The University of Texas at AustinUS33 papers
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7 papers · 1 filter
Advanced Electrical Conductors: An Overview and Prospects of Metal Nanocomposite and Nanocarbon Based Conductors
Mehran Tehrani
Advanced electrical conductors that outperform copper and aluminum can revolutionize our lives, enabling billions of dollars in energy savings and facilitating a transition to an e…
Bayesian inference of heterogeneous epidemic models: Application to COVID-19 spread accounting for long-term care facilities
Peng Chen, Keyi Wu, Omar Ghattas
We propose a high dimensional Bayesian inference framework for learning heterogeneous dynamics of a COVID-19 model, with a specific application to the dynamics and severity of COVI…
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEs
Thomas O'Leary-Roseberry, Umberto Villa, Peng Chen +1
Many-query problems, arising from uncertainty quantification, Bayesian inversion, Bayesian optimal experimental design, and optimization under uncertainty-require numerous evaluati…
RELLIS-3D Dataset: Data, Benchmarks and Analysis
Peng Jiang, Philip Osteen, Maggie Wigness +1
Semantic scene understanding is crucial for robust and safe autonomous navigation, particularly so in off-road environments. Recent deep learning advances for 3D semantic segmentat…
Directivity modulation of exciton emission using single dielectric nanospheres
Jie Fang, Mingsong Wang, Kan Yao +10
Coupling emitters with nanoresonators is an effective strategy to control light emission at the subwavelength scale with high efficiency. Low-loss dielectric nanoantennas hold part…
Actively controllable topological phase transition in phononic beam systems
Weijian Zhou, Weiqiu Chen, Michel Destrade +1
Topological insulators, which allow edge or interface waves but forbid bulk waves, have revolutionized our scientific cognition of acoustic/elastic systems. Due to their nontrivial…