output
20072025
most citedThe CECAM Electronic Structure Library and the modular software development paradigm

34 citations

9 papers

cs.HC2025

Left shifting analysis of Human-Autonomous Team interactions to analyse risks of autonomy in high-stakes AI systems

Ben Larwood, Oliver J. Sutton, Callum Cockburn

Developing high-stakes autonomous systems that include Artificial Intelligence (AI) components is complex; the consequences of errors can be catastrophic, yet it is challenging to…

cs.HC2025

From customer to product: design tools for the visually impaired

Eduardo Augusto Monteiro de Almeida, Guillaume Thomann, Angelina Dias Leão Costa

Navigation in new or unknown environments is vital, especially for visually impaired individuals. While many solutions exist, few are tailored to specific disabilities, often due t…

cond-mat.mtrl-sci2025★ 2 cited

On Simulating Thin-Film Processes at the Atomic Scale Using Machine Learned Force Fields

S. Kondati Natarajan, J. Schneider, N. Pandey +2

Atomistic modeling of thin-film processes provides an avenue not only for discovering key chemical mechanisms of the processes but also to extract quantitative metrics on the event…

eess.SP2024★ 17 cited

Real-time Sub-milliwatt Epilepsy Detection Implemented on a Spiking Neural Network Edge Inference Processor

Ruixin Lia, Guoxu Zhaoa, Dylan Richard Muir +6

Analyzing electroencephalogram (EEG) signals to detect the epileptic seizure status of a subject presents a challenge to existing technologies aimed at providing timely and efficie…

cs.CR2024★ 1 cited

Proactive Software Supply Chain Risk Management Framework (P-SSCRM)

Laurie Williams, Sammy Migues, Jamie Boote +1

The Proactive Software Supply Chain Risk Management Framework (P SSCRM) described in this document is designed to help you understand and plan a secure software supply chain risk m…

eess.SP2023★ 1 cited

Slimmed optical neural networks with multiplexed neuron sets and a corresponding backpropagation training algorithm

Yi-Feng Liu, Rui-Yao Ren, Dai-Bao Hou +7

Due to their intrinsic capabilities on parallel signal processing, optical neural networks (ONNs) have attracted extensive interests recently as a potential alternative to electron…