Results 101 to 110 of about 700,935 (209)

Process‐Informed Analysis of As‐Built Metal Additive Surface Features

Advanced Engineering Materials, EarlyView.
This article introduces a novel method for feature‐based surface texture characterisation directly incorporating manufacturing variables into the feature extraction workflow. This marks a major step towards identifying process‐specific surface properties and their influence on part function and hence a holistic understanding of process–structure ...
Theresa Buchenau, Adam Thompson, Hauke Brüning, Marc Amkreutz, Bernd Mayer, Samanta Piano   +5 more
wiley   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

electron number density

Citation: 'electron number density' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.08470 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms ...
openaire   +1 more source

The Impact of High‐Productivity Processing on the Fatigue Failure of an Additive Manufactured Superalloy HAYNES 282

Advanced Engineering Materials, EarlyView.
The low cycle fatigue life of additive manufactured HAYNES® 282® superalloy was investigated for conventional and high‐productivity processing: samples of the former lasted 1400–1700 cycles, while samples of the latter failed at ~ 1200 cycles, at 760 °C and 1% strain.
Abdul Shaafi Shaikh, Ahmed Fardan, Tatiana Mishurova, Eduard Hryha   +3 more
wiley   +1 more source

Transferable Machine-Learning Model of the Electron Density

ACS Central Science, 2018
Andrea Grisafi, Alberto Fabrizio, Benjamin Meyer, David M. Wilkins, Clemence Corminboeuf, Michele Ceriotti   +5 more
doaj   +1 more source

Experimental signatures of interstitial electron density in transparent dense sodium. [PDF]

Commun Mater
Storm CV, Racioppi S, Duff MJ, McHardy JD, Zurek E, McMahon MI.   +5 more
europepmc   +1 more source

NucleoFind: A Deep-Learning Network for Interpreting Nucleic Acid Electron Density [PDF]

Struct Dyn
Dialpuri JS, Agirre J, Cowtan KD, Bond PS.   +3 more
europepmc   +2 more sources

The Average Electron Density Tool for Bioisosterism in Hydrophobic Media. [PDF]

ACS Omega
Arabi AA.
europepmc   +1 more source

The Role of the Electronic Structure during Protein Folding through Electron Density-Based Quantum Chemical Descriptors. [PDF]

ACS Omega
Rocha-Santos A, Grillo IB, Aires Urquiza-Carvalho G, Rocha GB.   +3 more
europepmc   +1 more source

Interplay between geometry, electron density, and polarizability of the controversial drug atoxyl in crystal and biological environments. [PDF]

RSC Adv
Balmohammadi Y, Metry E, Malaspina LA, Cametti G, Nakamura Y, Grabowsky S.   +5 more
europepmc   +1 more source