Results 201 to 210 of about 2,297,669 (248)

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

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The Probabilistic Description Logic

Theory and Practice of Logic Programming, 2020
AbstractDescription logics (DLs) are well-known knowledge representation formalisms focused on the representation of terminological knowledge. Due to their first-order semantics, these languages (in their classical form) are not suitable for representing and handling uncertainty.
Leonard Botha, Thomas Andreas Meyer, Rafael Peñaloza   +2 more
openaire   +1 more source

Matching in description logics

Journal of Logic and Computation, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Franz Baader, Ralf Küsters, Alexander Borgida, Deborah L. McGuinness   +3 more
openaire   +2 more sources

A Description Logic for InferenceNet.Br

2012
The InferenceNet.Br is a new linguistic resource for Portuguese language knowledge bases, which follows some principles of the WordNet, ConceptNet and FrameNet. Unlike these other linguistic resources, InferenceNet.Br allows representation of more expressive relationships between concepts, permitting to characterize premises or conclusions of these ...
Wellington Franco, Thiago Alves Rocha, Henrique Viana, João F. L. Alcântara   +3 more
openaire   +1 more source

The Logic Description Generator

[1990] Proceedings of the International Conference on Application Specific Array Processors, 2002
The authors describe the Logic Description Generator (LDG), a design tool specifically geared to aid in the implementation of systolic algorithms on reconfigurable logic arrays. It is used to specify designs for Splash, a linear array of Xilinx chips. LDG supports the notion of a logical systolic cell, which may be repetitively layed out across a chip,
Maya B. Gokhale, Andrew Kopser, Sara P. Lucas, Ronald G. Minnich   +3 more
openaire   +1 more source

Defeasible Description Logics

KI - Künstliche Intelligenz, 2020
The present paper is a summary of a habilitation (Habilitation a Diriger des Recherches, in French), which has been perused and evaluated by a committee composed by the following members: Franz Baader, Stephane Demri, Hans van Ditmarsch, Sebastien Konieczny, Pierre Marquis, Marie-Laure Mugnier, Odile Papini and Leon van der Torre. It was defended on 26
openaire   +3 more sources