Results 31 to 40 of about 14,736 (262)
Adaptive Multi-strategy Market-Making Agent for Volatile Markets
10 pages, 1 figure, submitted to conference - Artificial General Intelligence ...
Ali Raheman +4 more
openaire +2 more sources
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
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
Enhancing scalability of peer-to-peer energy markets using adaptive segmentation method
This paper proposes an adaptive segmentation method as a market clearing mechanism for peer-to-peer (P2P) energy trading scheme with large number of market players. In the proposed method, market players participate in the market by announcing their bids.
Mohsen Khorasany +3 more
doaj +1 more source
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
Effects of Individual and Institutional Factors for Sustainable Chains and Production
Purpose: This study aims to examine the impacts of institutional pressures and individual adaptation performance on the adoption of green supply chain practices and reverse logistics, and their effects on production-based CO2 emissions, focusing on ...
Korhan Arun, Saniye Yıldırım Özmutlu
doaj +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
Tissue‐Adhesive Fabric‐Based Bioelectronics for Wearable and Implantable Applications
An implantable and wearable bioelectronic textile (iTextile) is introduced as a unified platform bridging wearable and implantable systems. By integrating a self‐healing polymer, stretchable silk fabric, conductive composite electrodes, and an adhesive hydrogel, the platform enables conformal, stable interfacing with soft tissues. The iTextile supports
Soojung An +7 more
wiley +1 more source
Pricing strategies of an oligopolist in federated cloud markets
In this paper, we study how an oligopolist influences the coalition structure in federated cloud markets. Specifically, we use cooperative game theory to model the circumstances under which a cloud provider prefers to join a cloud federation vis-a-vis ...
Yash Khandelwal +4 more
doaj +1 more source

