hls4ml: An open-source codesign workflow to empower scientific low-power machine learning devices

F Fahim, B Hawks, C Herwig, J Hirschauer… - arXiv preprint arXiv …, 2021 - arxiv.org
Accessible machine learning algorithms, software, and diagnostic tools for energy-efficient
devices and systems are extremely valuable across a broad range of application domains. In …

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC

G Di Guglielmo, F Fahim, C Herwig… - … on Nuclear Science, 2021 - ieeexplore.ieee.org
Farah Fahim and Nhan Tran are with the Fermi National Accelerator Laboratory, Batavia,
IL … Farah Fahim and Yingyi Luo focused on the digital implementation, power analysis, and …

On-sensor data filtering using neuromorphic computing for high energy physics experiments

…, P Date, N Rao Miniskar, J Vetter, F Fahim… - Proceedings of the …, 2023 - dl.acm.org
This work describes the investigation of neuromorphic computing-based spiking neural
network (SNN) models used to filter data from sensor electronics in high energy physics …

Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning

…, MB Valentin, K DiPetrillo, F Fahim… - Machine Learning …, 2024 - iopscience.iop.org
Highly granular pixel detectors allow for increasingly precise measurements of charged particle
tracks. Next-generation detectors require that pixel sizes will be further reduced, leading …

Cryogenic electronics development for high-energy physics: An overview of design considerations, benefits, and unique challenges

D Braga, S Li, F Fahim - IEEE Solid-State Circuits Magazine, 2021 - ieeexplore.ieee.org
In the quest to study the fundamental nature of matter and the universe, high-energy physics
(HEP) experiments often operate in extreme conditions that lie well outside the standard …

Memory-immersed collaborative digitization for area-efficient compute-in-memory deep learning

…, N Darabi, B Parpillon, F Fahim… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
This work discusses memory-immersed collaborative digitization among compute-in-memory
(CiM) arrays to minimize the area overheads of a conventional analog-to-digital converter (…

New lead-free double perovskites A2NaInI6 (A= Cs, Rb) for solar cells and renewable energy; first principles analysis

…, M Ramzan, M Rashid, G Naz, M Imran, F Fahim… - Materials Science and …, 2021 - Elsevier
The conversions of light energy and heat energy into electrical energy are the leading source
of renewable energy and extensively studied from the last decade. Therefore, we have …

HfO2-based nanostructured thin-films (ie, low-e coatings) with robust optical performance and energy efficiency

…, M Imran, G Naz, MW Mukhtar, F Fahim… - Journal of Nanostructure …, 2022 - Springer
This study investigates the electronic, optical, and thermo electronic properties executed by
First Principles and experimental examination on undoped HfO 2 and Copper (Cu) based …

How to build a quantum supercomputer: Scaling challenges and opportunities

…, S Chatterjee, GA Dagnew, A Esposito, F Fahim… - arXiv preprint arXiv …, 2024 - arxiv.org
In the span of four decades, quantum computation has evolved from an intellectual curiosity
to a potentially realizable technology. Today, small-scale demonstrations have become …

Various structures based on nickel oxide thick films as gamma radiation sensors

K Arshak, O Korostynska, F Fahim - Sensors, 2003 - mdpi.com
Thick films of Nickel oxide (NiO) in the form of pn-junctions and planar structures with
interdigitated electrodes were investigated for γ-radiation dosimetry purposes. Samples were …