Results 211 to 220 of about 1,169,808 (377)

Diamond 2D/3D Printing Technology: Bringing Scintillating Performance to Functional Materials and Their Applications

Advanced Materials Technologies, EarlyView.
This review highlights advances in printing with nano‐ and microparticulate diamond for applications such as sensors, thermal management, machining tools, and biointerfaces. By covering screen, inkjet, microcontact, and 3D printing techniques, it outlines how diamond particles can be integrated into composite materials and functional devices, while ...
Simona Baluchová, Josephus G. Buijnsters   +1 more
wiley   +1 more source

Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules [PDF]

, 2019
Dimitris Bertsimas, Jack Dunn, Dale W. Steele, Thomas A Trikalinos, Yuchen Wang   +4 more
openalex   +1 more source

Printability Metrics in Direct Ink Writing: Critical Review of the Literature and Novel Perspective Based on Dimensional Analysis

Advanced Materials Technologies, EarlyView.
The impossibility of defining universal printability criteria for Direct Ink Writing (DIW) requires “unpacking” the process into printing subfunctions. Each of these is rationalized by identifying dimensionless groups, allowing effective comparison between the various material‐ and process‐related parameters for printability purposes.
Enrica Luzzi, Martina de Salzano de Luna, Domenico Caputo, Giovanni Filippone, Paolo Aprea   +4 more
wiley   +1 more source

Learning Algorithm for Multiple Distribution Data using Haar-like Feature and Decision Tree

, 2013
Ju-Hyun Kwak, Il-Young Woen, Changhoon Lee   +2 more
openalex   +2 more sources

Rotary 4D Printing of Programmable Metamaterials on Sustainable 4D Mandrel

Advanced Materials Technologies, EarlyView.
The paper introduces open, rotary 4D printing of programmable tubular metamaterials. It presents an open, non‐planar path‐to‐G‐code pipeline and shape‐changing rotary mandrel that enable support‐free fabrication and multi‐stimuli actuation. Experiments and FEA validate the mentioned features and stress redistribution.
Hesam Soleimanzadeh, Mahdi Bodaghi, Marzieh Jamalabadi, Bernard Rolfe, Ali Zolfagharian   +4 more
wiley   +1 more source

Learning Decision Trees from Time-changing Uncertain Data Streams

, 2013
Chunquan Liang, Yang Zhang, Shaojun Hu
openalex   +1 more source

Applications of QSPR and Machine Learning in Molecular Photonics

Advanced Optical Materials, EarlyView.
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak, Platon P. Chebotaev, Mikhail A. Filatov   +2 more
wiley   +1 more source

Multiple machine learning algorithms for lithofacies prediction in the deltaic depositional system of the lower Goru Formation, Lower Indus Basin, Pakistan. [PDF]

Sci Rep
Saleem MA, Sohail GM, Rehman SU, Yasin Q, Radwan AE.   +4 more
europepmc   +1 more source

Non‐Hermitian Topological Lattice Photonics: An Analytic Perspective

Advanced Photonics Research, EarlyView.
This review establishes exact analytical solutions for non‐Hermitian Hatano–Nelson, Su–Schrieffer–Heeger, and generalized Rice–Mele models. We demonstrate non‐Hermitian skin effects via point‐gap topology, hybrid skin‐topological edge states in 2D lattices, and spin‐polarized boundary modes governed by dual bulk‐boundary correspondence.
Shihua Chen, Abdul Basit, Lingfang Li, Chong Hou, Yang Ruan, Yating Wei, Zhenhua Ni   +6 more
wiley   +1 more source

A machine learning approach for detection of claustrophobic brain activity in electroencephalography. [PDF]

Sci Rep
Rezaei S, Parmeh N, Rajabpour V, Rahimi F.   +3 more
europepmc   +1 more source