Results 21 to 30 of about 769,896 (315)

Nanophotonic computational design

open access: yesOptics Express, 2013
In contrast to designing nanophotonic devices by tuning a handful of device parameters, we have developed a computational method which utilizes the full parameter space to design linear nanophotonic devices. We show that our method may indeed be capable of designing any linear nanophotonic device by demonstrating designed structures which are fully ...
Lu, Jesse, Vuckovic, Jelena
openaire   +3 more sources

Computational multicopter design [PDF]

open access: yesACM Transactions on Graphics, 2016
We present an interactive system for computational design, optimization, and fabrication of multicopters. Our computational approach allows non-experts to design, explore, and evaluate a wide range of different multicopters. We provide users with an intuitive interface for assembling a multicopter from a collection of components (e.g., propellers ...
Tao Du 0001   +4 more
openaire   +3 more sources

Computational Design Tools and Education: The Smartgeometry Case [PDF]

open access: yes, 2019
Computational design has brought in novel concepts to architecture and design disciplines. Computational design thinking has evolved due to the potentials of contemporary tools and methods.
Oyku Acican   +3 more
core   +1 more source

Design by Talking with Computers

open access: yesComputer-Aided Design and Applications, 2008
AbstractThis paper describes our preliminary research on a voice-aided CAD system. where human voice is utilized to assist CAD modeling tasks. The goal is to provide a novel type of CAD system. in which users can design by talking with computers. Voice is regarded as an alternative interaction medium to boost design efficiency.
Tan, ST, Kou, XY
openaire   +3 more sources

Prediction of the functional class of lipid binding proteins from sequence-derived properties irrespective of sequence similarity

open access: yesJournal of Lipid Research, 2006
Lipid binding proteins play important roles in signaling, regulation, membrane trafficking, immune response, lipid metabolism, and transport. Because of their functional and sequence diversity, it is desirable to explore additional methods for predicting
H.H. Lin   +5 more
doaj   +1 more source

Cross-Sectional 4D-Printing: Upscaling Self-Shaping Structures with Differentiated Material Properties Inspired by the Large-Flowered Butterwort (Pinguicula grandiflora)

open access: yesBiomimetics, 2023
Extrusion-based 4D-printing, which is an emerging field within additive manufacturing, has enabled the technical transfer of bioinspired self-shaping mechanisms by emulating the functional morphology of motile plant structures (e.g., leaves, petals ...
Ekin Sila Sahin   +7 more
doaj   +1 more source

An Ontology of Computational Tools for Design Activities [PDF]

open access: yes, 2018
While able to automatically generate and optimise designs for variables provided by a designer, today’s computational design tools do not specialise in the earlier, more tacit tasks such as gathering and sorting disparate information or generating ...
V. Michael BOVE   +3 more
core   +1 more source

Advanced Timber Construction Industry: A Quantitative Review of 646 Global Design and Construction Stakeholders

open access: yesBuildings, 2023
There has been a multi-storey timber construction boom since the start of the millennium. While there is now a body of research on trends, benefits, and disadvantages of timber construction, there is not yet literature on the wider market or the impact ...
Luis Orozco   +6 more
doaj   +1 more source

A deep learning approach for detecting drill bit failures from a small sound dataset

open access: yesScientific Reports, 2022
Monitoring the conditions of machines is vital in the manufacturing industry. Early detection of faulty components in machines for stopping and repairing the failed components can minimize the downtime of the machine. In this article, we present a method
Thanh Tran   +2 more
doaj   +1 more source

Data-driven discovery of 2D materials by deep generative models

open access: yesnpj Computational Materials, 2022
Efficient algorithms to generate candidate crystal structures with good stability properties can play a key role in data-driven materials discovery.
Peder Lyngby, Kristian Sommer Thygesen
doaj   +1 more source

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