Results 81 to 90 of about 740,535 (191)

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

Editorial: Deep learning for high-dimensional sense, non-linear signal processing and intelligent diagnosis, vol II. [PDF]

Front Psychiatry
Ke H, Cai C, Yao L, Chen D.
europepmc   +1 more source

Unraveling the Effect of Tramp Elements on Phase Transformations in Steels by Combining CALPHAD Modeling and Experiments

Advanced Engineering Materials, EarlyView.
This study investigates how tramp elements from increased scrap usage influence phase transformations in low‐alloyed steel. Combining dilatometry and microscopy reveal that tramp elements delay transformations, reduce critical cooling rates and increase hardenability.
Lukas Hatzenbichler, Daniel Marian Ogris, Phillip Haslberger, Matthew Galler, Oleksandr Glushko, Ronald Schnitzer   +5 more
wiley   +1 more source

Operator-level quantum acceleration of non-logconcave sampling. [PDF]

Proc Natl Acad Sci U S A
Leng J, Ding Z, Chen Z, Lin L.
europepmc   +1 more source

Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading

Advanced Engineering Materials, EarlyView.
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley   +1 more source

Hybrid deep feature integration model for robust deepfake detection using transfer-learned neural networks. [PDF]

Front Artif Intell
Potluri S, Kandagatla SP, Mohanty SN, Rout KC, Israr M, Gupta VM.   +5 more
europepmc   +1 more source

Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories

Advanced Engineering Materials, EarlyView.
A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi, Stephan Roth, Christos G. Aneziris, Bjoern Kiefer   +3 more
wiley   +1 more source

Robust ISAC based framework for location estimation and target detection in 6G networks. [PDF]

PLoS One
Soni L, Taneja A, Alqahtani N, Alqahtani J.   +3 more
europepmc   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Improved Point Cloud Representation via a Learnable Sort-Mix-Attend Mechanism. [PDF]

Sensors (Basel)
Zhang Y, Wang X, Yi Z, Xu L.
europepmc   +1 more source