151 citations · 359 across the 16 of their papers we have counts for
18 papers
Capturing dynamical correlations using implicit neural representations
Sathya Chitturi, Zhurun Ji, Alexander Petsch +16
The observation and description of collective excitations in solids is a fundamental issue when seeking to understand the physics of a many-body system. Analysis of these excitatio…
Implicit Neural Representation as a Differentiable Surrogate for Photon Propagation in a Monolithic Neutrino Detector
Minjie Lei, Ka Vang Tsang, Sean Gasiorowski +6
Optical photons are used as signal in a wide variety of particle detectors. Modern neutrino experiments employ hundreds to tens of thousands of photon detectors to observe signal f…
Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities
Hongwei Chen, Sathya R. Chitturi, Rajan Plumley +22
The advent of next-generation X-ray free electron lasers will be capable of delivering X-rays at a repetition rate approaching 1 MHz continuously. This will require the development…
Heterogeneous reconstruction of deformable atomic models in Cryo-EM
Youssef Nashed, Ariana Peck, Julien Martel +6
Cryogenic electron microscopy (cryo-EM) provides a unique opportunity to study the structural heterogeneity of biomolecules. Being able to explain this heterogeneity with atomic mo…
Multipoint-BAX: A New Approach for Efficiently Tuning Particle Accelerator Emittance via Virtual Objectives
Sara A. Miskovich, Willie Neiswanger, William Colocho +7
Although beam emittance is critical for the performance of high-brightness accelerators, optimization is often time limited as emittance calculations, commonly done via quadrupole…
Phase Space Reconstruction from Accelerator Beam Measurements Using Neural Networks and Differentiable Simulations
Ryan Roussel, Auralee Edelen, Christopher Mayes +5
Characterizing the phase space distribution of particle beams in accelerators is a central part of accelerator understanding and performance optimization. However, conventional rec…