activity
20212023
most citedReal-time 3D analysis during electron tomography using tomviz

56 citations · 117 across the 5 of their papers we have counts for

collaborators

6 papers

astro-ph.IM2023★ 1 cited

AI ensemble for signal detection of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers

Minyang Tian, E. A. Huerta, Huihuo Zheng

We introduce spatiotemporal-graph models that concurrently process data from the twin advanced LIGO detectors and the advanced Virgo detector. We trained these AI classifiers with…

astro-ph.IM2023★ 4 cited

Physics-inspired spatiotemporal-graph AI ensemble for the detection of higher order wave mode signals of spinning binary black hole mergers

Minyang Tian, E. A. Huerta, Huihuo Zheng +1

We present a new class of AI models for the detection of quasi-circular, spinning, non-precessing binary black hole mergers whose waveforms include the higher order gravitational w…

physics.comp-ph2023★ 26 cited

Imaging 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography

Jonathan Schwartz, Zichao Wendy Di, Yi Jiang +15

Measuring the three-dimensional (3D) distribution of chemistry in nanoscale matter is a longstanding challenge for metrological science. The inelastic scattering events required fo…

cond-mat.mtrl-sci2022★ 56 cited

Real-time 3D analysis during electron tomography using tomviz

Jonathan Schwartz, Chris Harris, Jacob Pietryga +13

The demand for high-throughput electron tomography is rapidly increasing in biological and material sciences. However, this 3D imaging technique is computationally bottlenecked by…

gr-qc2022★ 30 cited

Inference-optimized AI and high performance computing for gravitational wave detection at scale

Pranshu Chaturvedi, Asad Khan, Minyang Tian +2

We introduce an ensemble of artificial intelligence models for gravitational wave detection that we trained in the Summit supercomputer using 32 nodes, equivalent to 192 NVIDIA V10…

gr-qc2021

Interpretable AI forecasting for numerical relativity waveforms of quasi-circular, spinning, non-precessing binary black hole mergers

Asad Khan, E. A. Huerta, Huihuo Zheng

We present a deep-learning artificial intelligence model that is capable of learning and forecasting the late-inspiral, merger and ringdown of numerical relativity waveforms that d…