NPPS Leadership Team

[Torre Wenaus <wenaus AT gmail.com>]

Thanks Kerstin, we're interested in NPPS and will start thinking.

  Torre

On Fri, Feb 28, 2020 at 12:04 PM Kleese Van Dam, Kerstin <kleese AT bnl.gov> wrote:

Dear all,

We are expecting two calls to come out in the coming 2 weeks, so now is the time to start to think about ideas and potential partnerships. The calls expected are:

• Steve Lee PRD 5. Machine learning-enhanced modeling and simulation for predictive scientific computing – Key question: What are the barriers and potential advantages to using scientific machine learning in developing predictive computational models and adaptive algorithms? Scientific machine learning has the potential to improve the fidelity of reduced-order or sub-grid physics models, automate computational steering, and optimize parameter tuning within multiscale scientific simulations.
• Bill Spotz PRD 6 . Intelligent automation and decision-support for the management and control of complex systems - Key question: What are the challenges in developing scientific machine learning for decision-support and automation of complex systems and processes? Scientific machine learning has widespread use in improving the operational capabilities of scientific user facilities, communication networks, power grids, or other sensor-equipped infrastructures and complex processes.

 

The two calls are based on a workshop in 2019 that looked a the basic research needs for Scientific Machine Learning. PRD – refers to Priority Research Directions identified during that workshop. Please find below:

• The short summary brochure of the workshop outcomes incl. PRDs https://www.osti.gov/servlets/purl/1484362
• The full workshop report with more detailed thoughts – state of the art, gaps, research targets https://www.osti.gov/servlets/purl/1478744

The two are essential reading if you want to develop a response.

 

To inspire possible application areas and ideas I would also like to point you to the just published outcome of the AI for Science Townhalls this year https://anl.app.box.com/s/bpp2xokglo8z8qiw7qzmgtsnmhree4p0

 

Best wishes,

Kerstin

 

Kerstin Kleese van Dam

Director Computational Science Initiative

Brookhaven National Laboratory

Email: Kleese AT bnl.gov

Office: 6313446019

Cell: 5092210758

LinkedIn: https://www.linkedin.com/in/kerstinkleesevandam/

Twitter/Instagram: @Kerstin.Kleese