Results 71 to 80 of about 47,435 (262)

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Mastery of Communication Skills. Does Intelligence Matter?

Health Professions Education, 2018
AbstractBackgroundInsight in the influence of intelligence on the mastery of communication skills is important for improving the microcounselling method, an effective training programme for acquiring these skills.MethodParticipants were 323 bachelor psychology students.
Kuntze, J., Van der Molen, HT, Born, MPh
openaire   +3 more sources

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Unconventional spin-intertwined charge density wave in magnetic phases of kagome metal GdTi3Bi4

Nature Communications
The symmetry breaking density waves and their interplay with spin and charge are crucial for understanding the correlated electronic states in quantum materials.
Xianghe Han, Hui Chen, Zhongyi Cao, Jingwen Guo, Chuyi Tuo, Ming-Rui Li, Fucong Fei, Hengxin Tan, Jianfeng Guo, Yanhao Shi, Runnong Zhou, Ruwen Wang, Zhen Zhao, Haitao Yang, Fengqi Song, Hong Yao, Binghai Yan, Shiyu Zhu, Ziqiang Wang, Hong-Jun Gao   +19 more
doaj   +1 more source

Catalytic chemical recycling and upcycling of polyolefin plastics

Giant
Polyolefins are the most produced and widely used polymeric materials. However, the chemically inert nature of polyolefins has led to severe environmental pollution, posing a threat to human sustenance and development.
Yingzi Tan, Yidan Cheng, Jiaming Xu, Haobing Wang   +3 more
doaj   +1 more source

Applied Artificial Intelligence: Risk Mitigation Matters

, 2022
Digital technology is the main driver of the transformation process that is already on its way and expected to take up speed. Science and engineering are challenged to realize the significant innovation potential while keeping an eye on economic and societal sustainability.
openaire   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Organosilicon-grafted silica nanoparticles for vat photopolymerization: Evolution from organic/inorganic hybrid materials to ceramics

Open Ceramics
Three-dimensional (3D) printing ceramics based on vat photopolymerization (VPP) have attracted increasing interest in recent years because of their intrinsic properties and a wide range of potential applications.
Jun Tan, Jinchang Zhang, Hangyu Zhong, Hongli Hu, Xiwen Kou, Bo-xing Zhang   +5 more
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source