Results 111 to 120 of about 380,355 (349)

Micromechanical Characterization of 316L‐V4E Steel Transitions Produced by Electron Beam Powder Bed Fusion with Dual‐Hopper Alternating Layer Strategy

open access: yesAdvanced Engineering Materials, EarlyView.
This work applies High‐Speed Nanoindentation to study multi‐material transitions in powder bed fusion–electron beam melting components. The aim is to assess the mechanical gradients and interfacial behavior between American iron and steel institute 316L stainless steel and V4E tool steel in additively manufactured structures.
Laia Ortiz‐Membrado   +6 more
wiley   +1 more source

Bioinspired Materials, Designs, and Manufacturing Strategies for Advanced Impact‐Resistant Helmets

open access: yesAdvanced Engineering Materials, EarlyView.
This review explores how bioinspired materials, structures, and manufacturing strategies transform helmet design to achieve enhanced impact resistance. Drawing inspiration from nacre, porcupine quills, beetle exoskeletons, and skull architectures, it highlights advances in auxetic lattices, nanocomposites, and functionally graded foams.
Joseph Schlager   +4 more
wiley   +1 more source

Complexity analysis of the SAT engine: DNA algorithms as probabilistic algorithms

open access: yesTheoretical Computer Science, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masami Hagiya   +3 more
openaire   +2 more sources

Influence of Layering and Curie Temperature Uncertainty on the Performance of Multilayer Active Magnetic Regenerators

open access: yesAdvanced Functional Materials, EarlyView.
This study examines how manufacturing uncertainties in Curie temperatures (1.5–2°C) affect multilayer active magnetic regenerators (AMR). While increasing the number of magnetocaloric layers boosts cooling power, performance degrades due to temperature variations.
Urban Tomc   +6 more
wiley   +1 more source

Probabilistic analysis of algorithms for dual bin packing problems [PDF]

open access: yes
In the dual bin packing problem, the objective is to assign items of given size to the largest possible number of bins, subject to the constraint that the total size of the items assigned to any bin is at least equal to 1.
Csirik, J.   +3 more
core   +1 more source

Probabilistic analysis of the greedy algorithm.

open access: yesТруды Института системного программирования РАН, 2004
It is shown that the greedy algorithm in the average case (in some probabilistic model) finds almost minimum covers. It is shown also that in the average case the ratio of the size of minimum cover to the size of minimum fractional cover has logarithmic order in the size of the ground set.
openaire   +2 more sources

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

open access: yesAdvanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai   +8 more
wiley   +1 more source

Performance Study of Cancer Selection/Classification Algorithms Based on Microarray Data

open access: yesApplied Medical Informatics, 2014
Microarray data has an important role in detecting and classifying all types of cancer tissues. In cancer researches, relatively low number of samples in microarray has always caused some problems in designing classifiers.
Hamidreza SABERKARI   +4 more
doaj  

Network-Based Document Clustering Using External Ranking Loss for Network Embedding

open access: yesIEEE Access, 2019
Network-based document clustering involves forming clusters of documents based on their significance and relationship strength. This approach can be used with various types of metadata that express the significance of the documents and the relationships ...
Yeo Chan Yoon   +2 more
doaj   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

open access: yesAdvanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone   +11 more
wiley   +1 more source

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