An investigation on usability of 3D visualization and simulation programs in leather apparel

Author(s):  
Nilay Ork Efendioglu ◽  
Mehmet Mete Mutlu ◽  
Oktay Pamuk
2006 ◽  
Vol 15 (5) ◽  
pp. 554-562 ◽  
Author(s):  
Mohamed Al-Hussein ◽  
Muhammad Athar Niaz ◽  
Haitao Yu ◽  
Hyoungkwan Kim

2007 ◽  
Vol 23 (11) ◽  
pp. 1313-1317 ◽  
Author(s):  
Thomas Rodt ◽  
Arkadius Schlesinger ◽  
Alexander Schramm ◽  
Marc Diensthuber ◽  
Marion Rittierodt ◽  
...  

Author(s):  
Denny Yu ◽  
Michael Sackllah ◽  
Charles Woolley ◽  
Steven Kasten ◽  
Thomas J. Armstrong
Keyword(s):  

2016 ◽  
Author(s):  
Jongho Kim ◽  
Yeayoung Noh ◽  
Yoonji Ryu ◽  
Carolyn Yoonhee Park ◽  
Choong Hoon Lim ◽  
...  
Keyword(s):  

2008 ◽  
Author(s):  
Parvez Jamil Butt ◽  
Raza Hassan Sayed ◽  
Timothy George Day ◽  
Abdallah Mohammad Behair ◽  
Saleh M. Dossari

2019 ◽  
Author(s):  
Mahendra Awale ◽  
Finton Sirockin ◽  
Nikolaus Stiefl ◽  
Jean-Louis Reymond

<div>The generated database GDB17 enumerates 166.4 billion possible molecules up to 17 atoms of C, N, O, S and halogens following simple chemical stability and synthetic feasibility rules, however medicinal chemistry criteria are not taken into account. Here we applied rules inspired by medicinal chemistry to exclude problematic functional groups and complex molecules from GDB17, and sampled the resulting subset evenly across molecular size, stereochemistry and polarity to form GDBMedChem as a compact collection of 10 million small molecules.</div><div><br></div><div>This collection has reduced complexity and better synthetic accessibility than the entire GDB17 but retains higher sp 3 - carbon fraction and natural product likeness scores compared to known drugs. GDBMedChem molecules are more diverse and very different from known molecules in terms of substructures and represent an unprecedented source of diversity for drug design. GDBMedChem is available for 3D-visualization, similarity searching and for download at http://gdb.unibe.ch.</div>


Author(s):  
Wenbing Yun ◽  
Steve Wang ◽  
David Scott ◽  
Kenneth W. Nill ◽  
Waleed S. Haddad

Abstract A high-resolution table-sized x-ray nanotomography (XRMT) tool has been constructed that shows the promise of nondestructively imaging the internal structure of a full IC stack with a spatial resolution better than 100 nm. Such a tool can be used to detect, localize, and characterize buried defects in the IC. By collecting a set of X-ray projections through the full IC (which may include tens of micrometers of silicon substrate and several layers of Cu interconnects) and applying tomographic reconstruction algorithms to these projections, a 3D volumetric reconstruction can be obtained, and analyzed for defects using 3D visualization software. XRMT is a powerful technique that will find use in failure analysis and IC process development, and may facilitate or supplant investigations using SEM, TEM, and FIB tools, which generally require destructive sample preparation and a vacuum environment.


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