Results 141 to 150 of about 2,053,524 (303)
Scaling silicon photonic switch fabrics for AI datacenters is fundamentally constrained by accumulated crosstalk, insertion loss, and device‐level non‐idealities. This work establishes a device‐to‐link‐to‐system framework that connects the physical origins of crosstalk to practical mitigation strategies across device, circuit, and control levels.
Peng Bao +15 more
wiley +1 more source
Programmable Temporal Dynamics in a Laser Neuron for High‐Speed Photonic Reservoir Computing
Memory and nonlinearity play crucial roles in reservoir computing (RC). An adaptive photonic RC system is demonstrated based on a high‐speed laser graded neuron, whose dynamics, encompassing memory and nonlinearity, can be flexibly programmed through a straightforward bias‐tuning approach.
Yikun Nie +5 more
wiley +1 more source
Branch‐and‐Cut POPMUSIC for the Electric Vehicle Routing Problem With Time Windows
ABSTRACT Advancements in computer hardware and commercial software have enabled the use of branch‐and‐cut (BC) methodologies to address medium‐scale vehicle routing problems (VRPs). Despite the introduction of efficient heuristics in the literature, tailoring these approaches to suit various VRP variants, such as the electric vehicle routing problem ...
Lelisa Kebena Bijiga +2 more
wiley +1 more source
The graphical abstract presents the experimental and data‐driven framework used to investigate the dry sliding tribological behavior of CFRP and GFRP composites. The effects of seawater, engine oil, diesel fuel, aging time, and normal load on the specific wear rate (SWR) and coefficient of friction (COF) were evaluated using pin‐on‐disc tests, ANOVA ...
Ahmet Saylık +2 more
wiley +1 more source
Highly aligned mixed‐dimensional vdW heterostructures are achieved through vdW epitaxy of 1D Sb2X3 (X = S, Se) nanowires on low‐symmetry 2D substrates (e.g. ReX2). Reduced substrate symmetry enables aligned nanowire growth and well‐defined vdW interfaces. Atomic‐scale characterization reveals specific epitaxial relationships and stacking‐fault defects.
Maayan Persky‐Poss +9 more
wiley +1 more source
Predicting Runtime in Spark‐Like Systems With Allocation‐Aware Deterministic Models
ABSTRACT Objectives Apache Spark is widely used for distributed data processing, but accurately predicting application execution time remains challenging because performance depends on application structure, resource configuration, and executor‐allocation behavior.
Hina Tariq, Olivia Das
wiley +1 more source
Fixing Ill‐Formed UTF‐16 Strings With SIMD Instructions
ABSTRACT Background We must fix ill‐formed UTF‐16 strings, where surrogate pairs are mismatched. Programming languages such as JavaScript provide functions that replace mismatched surrogates with the Unicode replacement character (U + FFFD). Objectives We seek to accelerate the correction of ill‐formed UTF‐16 strings.
Robert Clausecker, Daniel Lemire
wiley +1 more source
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source
A Unifying Approach of Data and Task Parallelism Based on Structural Clock Communication Paradigm
Among parallel programming tools, task parallelism and data parallelism are the most common programming models. Task parallelism enables to reach high performances but requires an important programming effort.
Emmanuel Melin +3 more
core
This work uses high‐temperature dilatometry to examine how the tramp elements Cu, Ni, and Sn affect the deformability of non‐metallic inclusions and matrix in quench‐and‐temper steel. Mg‐bearing inclusions deform less than Mg‐free ones. Copper lowers formability. Nickel increases deformability.
Julian Cejka +3 more
wiley +1 more source

