Results 91 to 100 of about 6,062,625 (214)
Geometrically parameterized interconnect performance models for interconnect synthesis
In this paper we describe an approach for generating geometrically-parameterized integrated-circuit interconnect models that are effi-cient enough for use in interconnect synthesis. The model gen-eration approach presented is automatic, and is based on a
Chin Siong Ong +4 more
core +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley +1 more source
AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
Robotic apple thinning is constrained by a single field season confined to a few weeks each year. An efficient design process screens four detachment concepts off‐season using an artificial fruitlet structure, with field trials identifying vacuum suction and rotation as the most effective approach.
Rahul Jangali +9 more
wiley +1 more source
On Equivalence of Parameterized Inapproximability of k-Median, k-Max-Coverage, and 2-CSP [PDF]
Parameterized Inapproximability Hypothesis (PIH) is a central question in the field of parameterized complexity. PIH asserts that given as input a 2-CSP on k variables and alphabet size n, it is [1]-hard parameterized by k to distinguish if the input is ...
Karthik C. S. +2 more
core +1 more source
The overpotential constitutes an electrochemical potential difference at the solid–liquid interface, which can manifest itself in different ways. In general, it can not only drive the reaction along the reaction coordinate, but also modulate chemical potentials in the extended environment that shape activation barriers, without necessarily being a ...
Sebastian Z. Oener +10 more
wiley +1 more source
ABSTRACT This study develops and evaluates a reproducible archaeological prospectivity workflow for data‐scarce tropical landscapes by integrating restricted legacy archaeological documentation with openly accessible environmental geospatial datasets.
Julio Guerra +2 more
wiley +1 more source
“A simple 1D transfer matrix model of a battery is introduced and parametrized using harvested individual cell components at 0 % and 100 % SoC. This model allows for the calculation of group velocity and attenuation. The results of the model show good agreement with measured values, highlighting increased attenuation and group velocity at the ...
Simon Feiler +3 more
wiley +1 more source
Operationalizing BioSSbD: A safe‐and‐sustainable‐by‐design framework for biorefineries
Abstract Biorefineries are central to the transition toward a circular bioeconomy; however, their increasing scale and technological heterogeneity, and the integration of biological, chemical, and thermochemical processes introduce complex challenges related to safety, sustainability, and operational reliability. Existing Safe‐and‐Sustainable‐by‐Design
Fernando Ramonet
wiley +1 more source

