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20242026
most citedAnalysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition

1 citations · 1 across the 7 of their papers we have counts for

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physics.ins-det2026

HeteroViT: A Versatile Single-Layer Vision Transformer Concept, Co-Designed for Distributed Real-Time Data Reduction on Scientific Detectors

Abhilasha Dave, Weijian Zheng, Antonino Miceli +3

Next-generation X-ray detectors generate data faster than any system can affordably store or process. LCLS-II, the upgraded Linac Coherent Light Source at SLAC, produces data on th…

physics.ins-det2026

Discrete Wavelet Transform for Serial X-ray Crystallography Image Segmentation

Dionisio Doering, Noemie Claret, Guilherme Paulino +10

Upcoming LCLS-II/II-HE operation at repetition rates approaching 1MHz demands on-detector data reduction to manage the resulting data volumes. We present a 2D discrete wavelet tran…

physics.ins-det2026

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)

Julia Gonski, Jenni Ott, Shiva Abbaszadeh +117

The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…

physics.ins-det2025

FPGA-Accelerated SpeckleNN with SNL for Real-time X-ray Single-Particle Imaging

Abhilasha Dave, Cong Wang, James Russell +2

We implement a specialized version of our SpeckleNN model for real-time speckle pattern classification in X-ray Single-Particle Imaging (SPI) using the SLAC Neural Network Library…

physics.ins-det20241 cited

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition

Haoyi Jia, Abhilasha Dave, Julia Gonski +1

To fully exploit the physics potential of current and future high energy particle colliders, machine learning (ML) can be implemented in detector electronics for intelligent data p…