Solve the world’s biggest challenges, from cells to society
Accelerate Time To Breakthrough
Aether Engine provides scientists and healthcare organisations the ability to rapidly build massively scalable simulations with greater fidelity and complexity, leading to more accurate models and expedited decision making.
In the light of events such as the global pandemic, the healthcare and life sciences industry faces many challenges in making informed decisions quickly through sophisticated simulations that model reality. One such set of challenges is the associated complexity of configuring the underlying infrastructure as simulations scale in complexity to replicate the world around us, and the inability to tweak parameters and edit algorithms in an easy and iterative manner to elicit impactful insight swiftly.
Aether Engine is a spatial simulation library that natively understands massively-distributed workloads, removing the need for researchers to understand the complexities of distributed programming when running agent-based simulations at scale.
By leveraging an octree data structure to map and allocate virtual space to CPU space by load and complexity, Aether Engine is capable of provisioning and de-provisioning compute power across any number of cloud servers, optimising compute and enabling unbounded simulation scale through massively distributed computing. The Hadean Platform underpinning Aether Engine, has been architected to remove the reliance on complex middleware and make this performance at scale possible by reducing millions of lines of code the computation runs on bare metal, significantly reducing the risk of failure.
Unprecedented Scale and Reality
Create simulations with unbounded scale and fidelity through the power of massively distributed computing, to model the most complex problems from cells to society
Iteration and Interactivity
Tweak parameters and edit simulation algorithms in an easy and iterative manner without the need to continually configure underlying infrastructure
By rapidly building sophisticated simulations that model reality, researchers can elicit impactful insight swiftly to accelerate breakthroughs
Aether Engine has simulated biological phenomenon across multiple levels – from microscopic interactions to modelling the viral transmission across a national population.
Modelling Protein-Protein Interactions
The Francis Crick’s Biomolecular Modelling Laboratory were able to scale Cross-Docking, a novel technique supporting drug design, with Aether Engine.
We were able to significantly reduce the computation time required to sample millions of possible protein structures with greater accuracy and the results were published in the journal, Proteins.
Furthermore, the Crick are now using Aether Engine to simulate COVID-19 virus transmission on a macro scale; modelling the spread of infection between individuals. Together, the micro and macro scale simulations can provide an accurate understanding of the spread of COVID-19 and enable clinical researchers to produce at-scale analyses of the current epidemic.
COVID-19 Contagion Modelling – From Cell to Society
The Francis Crick are also using Aether Engine to simulate COVID-19 virus transmission on the micro scale; within the cells of the lungs. We are working on extending our initial prototype to map the millions of cells in the entire lung network and layer in an understanding of how the immune system interplays with the virus.
Scalable Contract Tracing Model
Hadean is working with Imperial College (via the Royal Society’s RAMP initiative) to produce a scalable contract tracing model to prevent the further spread of the epidemic in the UK.
Aether Engine’ spatial simulation and agent-based model is able to rapidly layer in additional datasets to model social networks and physical communities in the UK at scale.