Presentations


Jump to talks about BAND methodology or BAND physics applications.


About BAND

Bayesian Model Averaging: applications and perspectives
Witek Nazarewicz (MSU/FRIB)
Talk at INT program “Machine learning for nuclear theory” (INT-22-1)
March 30, 2022

On the Horizon
Pablo Giuliani (MSU/FRIB)
Talk at 2021 ISNET
December 14, 2021

The Bayesian Analysis of Nuclear Dynamics (BAND) CI Framework: Coming Attractions
Daniel Phillips (Ohio)
Talk at 2021 BAND camp
December 13, 2021

The Bayesian Analysis of Nuclear Dynamics (BAND) Framework: An Introduction
Daniel Phillips (Ohio)
Talk at joint BAND-JETSCAPE meeting
March 16, 2021


Jump to talks about BAND or BAND physics applications.


BAND methodology

A Sequential Approach to Calibration of a Computationally Intensive Model
Özge Sürer (Northwestern)
Talk at 2022 SIAM Conference on Uncertainty Quantification
April 12-15, 2022

Taking Shortcuts: Accelerating scientific discovery through physics-informed emulators
Pablo Giuliani (MSU/FRIB)
Research discussion at the Facility for Rare Isotope Beams
April 07 2022

Calibration of a Computationally Intensive Model with Parallel Computing Aspects
Özge Sürer (Northwestern)
Talk at 2022 SIAM Conference on Parallel Processing for Scientific Computing
February 23-26, 2022

Calibration Using Emulation of Filtered Simulation Results
Özge Sürer (Northwestern)
Talk at 2021 Winter Simulation Conference
December 15-17, 2021

Transfer Learning Emulation
Dan Liyanage (OSU)
Talk at 2021 ISNET
December 14, 2021

Bayesian Surrogate Constructions for Calibration of Expensive Simulation Model
Moses Chan (Northwestern)
Talk at 2021 INFORMS Annual Meeting
October 24-27, 2021

Calibration Using Emulation of Filtered Simulation Results
Özge Sürer (Northwestern)
Talk at 2021 INFORMS Annual Meeting
October 24-27, 2021

Transfer Learning for Emulation of Hydrodynamic Simulations
Dan Liyanage (OSU)
Talk at 2021 Fall Meeting of the APS DNP
October 13, 2021

Interpolating between small- and large-x expansions using Bayesian Model Mixing
Alexandra Semposki (Ohio University)
Talk at 2021 Fall Meeting of the APS DNP
October 12, 2021

The Ultimate Shortcut
Pablo Giuliani (MSU/FRIB)
Nuclear Seminar at Florida State University
September 10, 2021


Jump to talks about BAND or BAND methodology.


BAND physics applications

Artificial intelligence and machine learning in nuclear structure theory
Witek Nazarewicz (MSU/FRIB)
Seminar at Fudan University, Shanghai, China
August 3, 2022

Bayesian R-Matrix
Daniel Odell (Ohio University)
Talk at 2021 ISNET
December 14, 2021

Statistically rigorous analyses of light nuclei with chiral interactions
Dick furnstahl (OSU)
Invite talk at Chiral Dynamics 2021 (virtual)
November 15-19, 2021

Artificial intelligence and machine learning in nuclear structure theory
Witold Nazarewicz (MSU/FRIB)
IAEA Virtual Meeting on Artificial Intelligence for Nuclear Technology and Applications, Vienna
October 25-29, 2021

Improved Uncertainties Estimates with R-Matrix Theory
Daniel Odell (Ohio University)
Virtual Seminar at Tongji University
September 16, 2021

Improved Uncertainties Estimates with R-Matrix Theory
Daniel Odell (Ohio University)
Virtual Seminar at the Joint Institute of Nuclear Astrophysics, University of Notre Dame
September 6, 2021

Transfer Learning Emulation of Relativistic Heavy Ion Simulations
Dan Liyanage (OSU)
Virtual Seminar for University of Tennessee Heavy Ion Group
August 10, 2021

Bayesian Parameter Estimation For Relativistic Heavy Ion Collisions
Dan Liyanage (OSU)
Workshop at 2021 JETSCAPE Summer School
July 29, 2021

Bayesian Model Mixing: Nuclear Physics Applications
Witek Nazarewicz (MSU/FRIB)
Invited talk at the ECT* workshop on Advances in Many Body Theories: from First Principles Methods to Quantum Computing and Machine Learning, Trento, Italy
November 2, 2020