Results 201 to 210 of about 1,340,355 (353)

D4.4 Games Design

open access: yes, 2016
This deliverable reports about the introduction of gamification in the project LPI.After an introduction on the various methods and techniques, we illustrate the objectives of the game generic enablers that we are developing; moreover, we also summarize the current status and the plans for the introduction of gamification in two of the project LPIs.
openaire   +2 more sources

Locking Metastable Topological Domains in Nematic Liquid Crystal Pi Cells

open access: yesAdvanced Functional Materials, EarlyView.
Selective photopolymerization in the presence of a controlled voltage defines permanent director walls that lock‐in metastable bend and twist configurations within nematic liquid crystal Pi cells. Q‐tensor simulations corroborate the experiments, demonstrating the topological state stabilization.
Adithya Pradeep   +7 more
wiley   +1 more source

Healthy Gaming – Video Game Design to promote Health [PDF]

open access: hybrid, 2011
Luis Fernández-Luque   +2 more
openalex   +1 more source

Dual Optical Hyperbolicity of PdCoO2 and PdCrO2 Delafossite Single Crystals

open access: yesAdvanced Functional Materials, EarlyView.
In this work, the hyperbolic response of PdCoO₂ and PdCrO₂ delafossites is investigated for the first time. They exhibit dual hyperbolic regimes, one localized around a phonon absorption in the mid‐infrared spectral region, and the other extending into the visible range.
Salvatore Macis   +14 more
wiley   +1 more source

A Game Level Design Technique Using the Genetic Algorithms

open access: hybrid, 2009
강신진, Sung-Hyun Cho, 신승호
openalex   +1 more source

Hybrid-Game Strategies for multi-objective design optimization in engineering [PDF]

open access: green, 2011
DongSeop Lee   +4 more
openalex   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy