Results 141 to 150 of about 67,345 (316)
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Spatio-Temporal Graph Convolution Transformer for Video Question Answering
Currently, video question answering (VideoQA) algorithms relying on video-text pretraining models employ intricate unimodal encoders and multimodal fusion Transformers, which often lead to decreased efficiency in tasks such as visual reasoning ...
Jiahao Tang +6 more
doaj +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Implicit Constraints for Qualitative Spatial and Temporal Reasoning [PDF]
Qualitative information about spatial or temporal entities is represented by specifying qualitative relations between these entities. It is then possible to apply qualitative reasoning methods for tasks such as checking consistency of the given ...
Renz, Jochen
core
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling +15 more
wiley +1 more source
Probabilistic quantitative temporal constraints: Representing, reasoning, and query answering [PDF]
In many applications and domains, temporal constraints between actions, and their probabilities play an important role. We propose the first approach in the literature coping with probabilistic quantitative constraints. To achieve such a challenging goal,
Andolina, A, Terenziani, P
core
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Here, we provide the reader with the current state of the art in the fabrication of high‐T2‐coherence diamond, optimized through the use of double electron–electron resonance (DEER) spectroscopy. We reveal the main as well as yet unidentified spin defects, the reduction of which is essential for reducing the spin bath and fabricating materials for ...
Olga Rubinas +6 more
wiley +1 more source
TALplanner: An empirical investigation of a temporal logic-based forward chaining planner [PDF]
We present a new forward chaining planner, TALplanner, based on ideas developed by Bacchus and Kabanza, where domain-dependent search control knowledge represented as temporal formulas is used to effectively control forward chaining.
Kvarnström, Jonas,, Doherty, Patrick,
core
A Bioinspired Sensory‐CAPode With Dual Functionality: Logic Gate and Real‐Time Biosensing
An electrochemical capacitor diode (CAPode) redefines the frontier of iontronics by seamlessly unifying logic computing and biosensing within a single biocompatible platform. Inspired by nature's own ion‐channel circuitry, this elegant ionic system transforms complex chemical signals into precise electrical responses, paving the way for next‐generation
Hanfeng Zhou +10 more
wiley +1 more source

