R&D is the core activity that drives Next Limit innovation and has allowed the company to develop such world-renowned products like XFlow™ (acquired by Dassault Systems in 2016), RealFlow™, Caronte™, or Maxwell Render™. Our R&D process continuously pushes our ideas into exciting technologies trying to match the needs of our different markets, from industry to digital content creation and media. We are constantly involved in all kinds of R&D projects, internally or in collaboration with other institutions, public and private, locally or across the world.
DATA ANALYTICS
We are surrounded by networks: our social networks, the power grid, the highway system, the water supply system, communication networks, airlines’ flight routes, etc. These networks can have thousands, millions of nodes and even more interconnections between them. At Next Limit we focus our research on powerful tools that allow a fast processing of network data and effective visualization of networks’ structures, key features paramount to take advantage of this new way of creating knowledge.
MACHINE LEARNING
Neural networks have been shown to solve very effectively problems like language translation or image classification difficult to tackle by other techniques and it is making its way in self-driving vehicles research. At Next Limit we focus our research on a dual approach, leveraging our simulation technologies on Machine Learning applications as well as taking advantage of Machine Learning to bring our simulation technologies to an even more advanced level.
OTHER RESEARCH PROJECTS
EVA
2017-2019
Autonomous Vehicles Training (Entrenamiento de Vehículos Autónomos)
Development of a high-fidelity physical simulation platform for virtual training of autonomous devices (vehicles, robots, drones, etc.), applying deep learning techniques. The project is focused on the robotics and mobility industries.
Desarrollo de una plataforma software de simulación de física de alta calidad para el adiestramiento virtual de dispositivos autónomos (vehículos, robots, drones,) mediante la aplicación de técnicas de aprendizaje automático profundo (Deep Learning). El proyecto se orienta al desarrollo de la industria robótica y los sistemas autónomos.
Convocatoria de ayudas: Acción Estratégica de Economía y Sociedad Digital –
Impulso Tecnológico 2017
Proyecto cofinanciado por el Ministerio de Energía, Turismo y Agenda Digital.
Número de expediente: TSI-100109-2017-3
FIRST STAGE
2016 – 2019
Fast and easy previsualization for creative industries.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 688244
JEWEL
2015 – 2016
API for an agile configuration of innovative web-apps for the global Jewelry Industry Jewel.
The project “Jewel”, developed by Next Limit Technologies, has been cofunded by the Ministry of Economy and Competitiveness within the Spanish National Plan for Scientific and Technical Research and Innovation 2013-2016.
GENESYS
2014 – 2015
Technology platform for collaborative creation of digital content, aimed to non-specialized users.
Official R+D project supported by the Spanish government.
The R&D project “GENESYS”, developed by Next Limit Technologies, has been co-funded by the Ministry of Education, Culture and Sports within the Grants to the investment in capital to increase the legal offering of cultural digital contents in Internet, and to promote the modernization and innovation of the Creative and Cultural Industries.
MIRADA
2013 – 2015
Technology platform for digital content creation based on digital 3D assets and photorealistic simulation:
Official R+D project supported by the Spanish government.
The R&D project “MIRADA”, developed by Next Limit Technologies, has been cofunded by the Ministry of Industry, Energy and Tourism within the National Plan of Scientific Investigation, Development and Technological Innovation 2013-2016 (File TSI-100600-2013-9).
MATERIA
2016 – 2018
The platform for physics simulation and the optical characterization of materials for the evaluation of the mechanical and visual behaviour of 3D objects in the additive manufacturing processes.
The R&D project “MATERIA”, developed by Next Limit Technologies, has been co-funded by the Ministry of Energy, Tourism and the Digital Agenda within the Spanish National Plan for Scientific and Technical Research and Innovation 2013-2016. (Acción Estratégica Economía y Sociedad Digital Convocatoria AEESD 2016 Project ID: TSI-100111-2016-1).
The project is also co-funded by the European Fund for Regional Development (FEDER).
DATAFLOW
2015 – 2017
Big Data Visualization and Simulation Technology with predictive capacities in HPC + Cloud.
The R&D project “DATAFLOW”, developed by Next Limit Technologies, has been co-funded by the Ministry of Energy, Tourism and the Digital Agenda within the Spanish National Plan for Scientific and Technical Research and Innovation 2013-2016. (Acción Estratégica Economía y Sociedad Digital Convocatoria AEESD 2015 Project ID: TSI-100105-2015-5).
The project is also co-funded by the European Fund for Regional Development (FEDER).
PRISM
2013 – 2016
Perceptual Representation of Illumination, Shape and Material.
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration. (Marie-Curie Action “Initial Training Networks“ Subprogram).
SKYCOAT
2012 – 2015
Sky Like Coating Materials for Hypogeal and SkyScrapers Architectures.
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration. (Cooperation Work Program, Call NMP).
SAFECITI
2014 – 2016
Simulation Platform for the Analysis of Crowd Turmoil in Urban Environments with Training and Predictive Capabilities.
This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 607626.
PUBLICATIONS
Héctor Barreiro, Ignacio García-Fernández, Iván Alduán, Miguel A. Otaduy. “Conformation Constraints for Efficient Viscoelastic Fluid Simulation“. ACM Trans. on Graphics (Proc. of ACM SIGGRAPH Asia), 36, 6, 221.1-221.11
2017
Alduán, I., Tena, A. and Otaduy, M. A. (2016), DYVERSO: “A Versatile Multi-Phase Position-Based Fluids Solution for VFX”. Computer Graphics Forum. doi:10.1111/cgf.12992
2016
Francisco González García and Gustavo Patow. “Continuity and Interpolation Techniques for Computer Graphics”. Computer Graphics Forum (CGF), State of the Art Report (STAR).
2015
Francisco González García. “Trends in Continuity and Interpolation for Computer Graphics”, IEEE Computer Graphics and Applications (IEEE CG&A), vol.35, no. 6, pp. 76-82, Nov.-Dec. 2015, doi:10.1109/MCG.2015.129.
2015
Hanna, Sean; Hesselgren, Lars; Gonzalez, Victor; Vargas, Ignacio. Beyond Simulation: Designing for Uncertainty and Robust Solutions.
2010
The SIFBUP Project. The SIFBUP tools for the assessment of passenger’s behaviour in emergency situations – IMAM- 2005.
2005
The SIFBUP Project. Passenger and vehicles simulation in vessels. XLIV NAVAL ENGINEERING TECHNICAL SESSIONS – Barcelona.
2005
Numerical Prediction of the dynamic behaviour of a ro-ro ship after a hull side damage. International Conference on the Stability of Ships and Ocean Vehicles ( Madrid 2003 ).
2003
Passive stabilizer tanks simulation using particle based models. Fluid Structure Interaction 2001, 26-28 September 2001, Halkidiki, Greece.
2001
