Results 231 to 240 of about 1,717,828 (345)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Evaluation of the Seismic Behavior of Carbon-Grid-Reinforced Walls with Varying Anchorage and Axial Load Ratios. [PDF]

Polymers (Basel)
Kim KM, Park SW, Song BK, Min KJ, Yoon SH.   +4 more
europepmc   +1 more source

Composite Electrospun Fibers Containing Optimized B‐ and Cu‐Doped Bioactive Glass Sol‐Gel Particles for Potential Soft Tissue Engineering Applications

Advanced Engineering Materials, EarlyView.
This article describes the preparation and characterization of poly(ε‐caprolactone) electrospun composite fibers incorporating sol‐gel‐derived bioactive glass particles doped with B and Cu. Scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, Fourier‐transform infrared spectroscopy, contact angle, acellular bioactivity, mechanical and ...
Elisa Piatti, Marta Miola, Liliana Liverani, Paolo Sartori, Enrica Verné, Aldo R. Boccaccini   +5 more
wiley   +1 more source

Comparison of Perichondrium Reinforcement and the Use of a Cartilage-Perichondrium Composite Graft Alone in the Repair of Subtotal Perforation: A Semi-Random Study. [PDF]

J Otolaryngol Head Neck Surg
Pan H, Zhang S.
europepmc   +1 more source

AutoGuard: A Self-Healing Proactive Security Layer for DevSecOps Pipelines Using Reinforcement Learning

Anugula, Praveen, Bhardwaj, Avdhesh Kumar, Chhibber, Navin, Tewari, Rohit, Khemka, Sunil, Ranjan, Piyush   +5 more
openalex   +1 more source

An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates

Advanced Engineering Materials, EarlyView.
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam, Thomas Kister, Alexander Scholz, Sophie Sauva, Makara Lay, Tobias Kraus, Jasmin Aghassi‐Hagmann   +6 more
wiley   +1 more source

Competitive swarm reinforcement learning improves stability and performance of deep reinforcement learning. [PDF]

Sci Rep
Huang X, Luo W, Li L, Zhang H, Jiang H, Gao X.   +5 more
europepmc   +1 more source

Reinforcement Learning Method Survey

Arjmandi, Mohsen
openalex   +1 more source

Enabling Digital Continuity in Virtual Manufacturing for Eco‐Efficiency Assessment of Lightweight Structures by Means of a Domain‐Specific Structural Mechanics Language: Requirements, Idea and Proof of Concept

Advanced Engineering Materials, EarlyView.
This article presents a solver‐agnostic domain‐specific language (DSL) for computational structural mechanics that strengthens interoperability in virtual product development. Using a hierarchical data model, the DSL enables seamless exchange between diverse simulation tools and numerical methods.
Martin Rädel, Andreas Schuster, Felix Schoenitz, Jean Lefèvre   +3 more
wiley   +1 more source

The role of feedback for sensorimotor decisions under risk. [PDF]

J Vis
Wolf C, Belopolsky AV, Lappe M.
europepmc   +1 more source