Icarus Digital Math
Automated Real Simulation

About Us

DigiMat - Digital Math represents digitalization of mathematics, society, industry and society in the form of automated and easily understandable computation of mathematical models in the Open Source FEniCS framework with world-leading performance and recognized at the highest level of science and industry together with an effective pedagogical concept with combined abstract theory and mathematical interactive programming in a cloud-HPC web-interface.

With our computational framework you can predict and understand the grand challenges of science and technology.

We are the Red Hat of computational modeling - our Open Source technology transforms the engineering simulation market just like Linux did, and generate enormous econmic value (Open Source Red Hat sold to IBM for 33 billion USD, second largest tech acquisition in history).

Icarus Simulation offers services in:

  • advanced computational simulation: unique adaptive finite element technology
  • digital courses on mathematics and simulation technology
Img

Aerodynamics breakthrough

Icarus supported by the Swedish Innovation Agency Vinnova and KTH Innovation are now leading a joint team with world-leading partners to bring the technology to the aerodynamics industry which has the potential to revolutionize computational prediction and efficiency.

Our breakthrough adaptive Direct FEM technology gives fast and reliable prediction of turbulent separated flows for a full vehicle, identified as the main CFD challenge today [NASA Vision 2030, Jameson] with the following features:

  1. No explicit turbulence model
  2. No wall model: slip = small friction
  3. No parameters to fit
  4. First principles - solve purely conservation of momentum + incompressibility
  5. Direct stabilized FEM simulation, automated in Unicorn/FEniCS
  6. No manual mesh design - goal-oriented adaptive error control
  7. High performance - 10x faster and cheaper than Exa/RANS in HiLiftPW-3
  8. Compatible with current CFD workflow - plug-in replacement for CFD solver
  9. Fast and reliable prediction of turbulent separated flows for a full vehicle, identified as the main CFD challenge today [NASA Vision 2030, Jameson]
  10. Extensively validated and compared against world-leading competition at HiLiftPW (NASA/Boeing) and highest level of commercial CFD.
  11. Scientific method - Open Source - reproducible and falsifiable

The flow simulator by Jansson opens the possibility of predicting the performance of new designs with the best possible simulation at given cost.

References

Johan Jansson et. al., Time-resolved adaptive direct fem simulation of high-lift aircraft configurations. Springer Brief: Numerical simulation of the aerodynamics of high-lift configurations, 2017.

Johan Hoffman, Johan Jansson, Claes Johnson, New Theory of Flight, Journal of Mathematical Fluid Mechanics, 2015

Johan Hoffman, Johan Jansson, Niclas Jansson, Rodrigo Vilela de Abreu, Claes Johnson, Computability and Adaptivity in CFD, Encyclopedia of Computational Mechanics, 2016

Johan Hoffman, Johan Jansson, Niclas Jansson, FEniCS-HPC: Automated predictive high-performance finite element computing with applications in aerodynamics, Lecture Notes in Computer Science, 2016

Our Services

Aerodynamics simulation

We carry out predictive simulation for you.

Digital Math Cloud Supercomputing with support

You can run predictive Digital Math simulations in our Amazon AWS "elastic supercomputer" cloud.

Software package with support

You can run our Digital Math simulations on your own cluster.

Digital Math courses

Take our online Digital Math courses to get started with predictive simulation and learn Digital Math!

Our partners

Leading Formula 1 team

Leading Aircraft company

Leading Airline

Heart Aerospace

Creo Dynamics/Faurecia-Clarion

Our projects

ELISE - electrification of aviation

DigiMat - pervasive Digital Math education

Vinnova - innovation verification

Icarus Industrial Benchmarking Consortium

Our founding team

Johan Jansson - CEO and Chairman

Claes Johnson - Scientist

Ridgway Scott - Scientist

Tamara Dancheva - Scientist

Massimiliano Leoni - Scientist

Ezhilmathi Krishnasany - Scientist

Rahul Kumar - Scientist

Predict aerodynamic designs with our breakthrough

Read more about our breakthrough predictive technology, take our courses, and meet our highly merited Team who are passionate about Digital Math.

jjan@kth.se

News

Selected for Brighter Program


Proud to have been selected to the KTH Innovation Brighter Program class of 2019. Meet us in Munich 17-22 November!

Presenting at Almedalen with IVA


Meet us at Almedalen – the Swedish Davos!

https://www.iva.se/event/forskning-till-nytta-i-naringslivet–hur-ska-vi-fa-till-det/

DigiMat: general Digital Math education


We present our Vinnova-funded DigiMat project with a video. Contact me if you want to participate in the testing! jjan@kth.se

Partner in ELISE electric aviation


Proud to be part of ELISE project http://elise.aero , now highlighted by Swedish Prime Minister!

Elected to IVA Royal Swedish Academy of Engineering Sciences 100-list


Proud to be elected to the IVA Royal Swedish Academy of Engineering Sciences 100–list!

https://www.iva.se/projekt/research2business/100listan/

Selected for KTH Innovation Pre-Incubator!


That’s us in the main photo!

https://www.kth.se/en/innovation/nyheter/fran-positioneringsteknik-till-blockchain-for-konst-kth-innovation-valkomnar-batch-9-1.888033h

Won Bicky Award!


Proud to have won the Bicky Chakraborty Entrepeneurship Award!

https://kthexecutiveschool.se/2019/03/12/meet-the-kth-startups-selected-for-this-years-bicky-chakraborty-entrepreneur-program/