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The 258th R-CCS Cafe (Dec 15, 2023)

Japanese
Details
Date Fri, Dec 15, 2023
Time 3:00 pm - 4:00 pm (3 pm - 4:00 pm Talks, 4:00 pm - Free discussion and coffee break)
City Kobe, Japan/Online
Place

Lecture Hall (6th floor) at R-CCS, Online seminar on Zoom

  • If you are not affiliated with R-CCS and would like to attend R-CCS Cafe, please email us at r-ccs-cafe[at]ml.riken.jp.
Language Presentation Language: English
Presentation Material: English
Speakers

Shota Tsuru

Computational Molecular Science Research Team
Postdoctoral Researcher

Amarjit Singh

High Performance Big Data Research Team
Postdoctoral Researcher

Ka Man Kong

Computational Climate Science Research Team
Postdoctoral Researcher

Talk Titles and Abstracts

1st Speaker: Shota Tsuru

Title:
Electronic structure theory applicable to transition states without active space
Abstract:
For investigation of chemical reaction path or dynamics simulation beyond transition states, electronic structure theories to calculate potential energy surfaces are usually problematic when they are referenced to single Slater determinants. Conventional coupled-cluster (CC) theory is not an exception. Meanwhile, potential energy surfaces based on multireference electronic structure theories such as CASSCF are often troublesome for these kinds of investigations because selection of the active space creates artificial discontinuity on the potential energy surfaces. In this talk, the speaker will show an idea of an unconventional CC theory to solve both the problems aiming at ground or excited-states dynamics simulation of molecules.

2nd Speaker: Amarjit Singh

Title:
Development of Compression Algorithm for Tomography Raw Images
Abstract:
TBA

3rd Speaker: Ka Man Kong

Title:
Parameter estimation using ETKF-based data assimilation skill: A case of 2D ideal squall-line
Abstract:
Recently, a novel method of parameter estimation using an ensemble-based data assimilation (DA) technique has been established and practiced in the physical schemes for climatological simulations. We implemented the parameter estimation algorithm into a regional atmospheric DA system (SCALE-LETKF), which incorporates the Scalable Computing for Advance Library and Environment-Regional Model (SCALE-RM) and the local ensemble transform Kalman filter (LETKF). In this research, Tomita08 scheme, one of cloud microphysics schemes, will be examined. These parameters in the scheme mainly control the precipitation. A 2D ideal squall line event was being testing to find a suitable value(s) for single and multiple parameter(s) in this scheme simultaneously. In this talk, we will therefore show the raw results and discuss the details.

Important Notes

  • Please turn off your video and microphone when you join the meeting.
  • The broadcasting may be interrupted or terminated depending on the network condition or any other unexpected event.
  • The program schedule and contents may be modified without prior notice.
  • Depending on the utilized device and network environment, it may not be able to watch the session.
  • All rights concerning the broadcasted material will belong to the organizer and the presenters, and it is prohibited to copy, modify, or redistribute the total or a part of the broadcasted material without the previous permission of RIKEN.

（Dec 8, 2023）