output
20082026
most citedChallenges and Opportunities in Quantum Optimization

181 citations

114 papers

cs.AR2026★ 1 cited

EPAC: The Last Dance

Filippo Mantovani, Fabio Banchelli, Pablo Vizcaino +36

This paper presents EPAC, a RISC-V-based accelerator chip developed within the European Processor Initiative (EPI) as part of a multi-year, multi-partner effort to build a European…

cs.LG2026

Automated Batch Distillation Process Simulation for a Large Hybrid Dataset for Deep Anomaly Detection

Jennifer Werner, Justus Arweiler, Indra Jungjohann +4

Anomaly detection (AD) in chemical processes based on deep learning offers significant opportunities but requires large, diverse, and well-annotated training datasets that are rare…

cond-mat.mtrl-sci2026

Direct Laser Writing of Ferromagnetic Nickel Utilizing the Principle of Sensitized Triplet-Triplet Annihilation Upconversion

Kristin E. J. Kühl, Katharina Rediger, Nikhita Khera +5

Direct laser writing of ferromagnetic microstructures is of great interest for sensing and data storage in compact three-dimensional architectures. However, reliable direct laser w…

cond-mat.mtrl-sci2026★ 31 cited

Artificial Intelligence in Materials Science and Engineering: Current Landscape, Key Challenges, and Future Trajectorie

Iman Peivaste, Salim Belouettar, Francesco Mercuri +15

Artificial Intelligence is rapidly transforming materials science and engineering, offering powerful tools to navigate complexity, accelerate discovery, and optimize material desig…

physics.med-ph2026

Bi-level Multi-criteria Optimization for Risk-informed Radiotherapy

Mara Schubert, Katrin Teichert, Zhongxing Liao +2

In radiation therapy (RT) treatment planning, multi-criteria optimization (MCO) supports efficient plan selection but is usually solved for population-based dosimetric criteria and…

cs.CE2026★ 3 cited

A stable and accurate X-FFT solver for linear elastic homogenization problems in 3D

Flavia Gehrig, Matti Schneider

Although FFT-based methods are renowned for their numerical efficiency and stability, traditional discretizations fail to capture material interfaces that are not aligned with the…