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Selected Conference Presentations
Talk
Mar. 2021, American Physical Society March Meeting 2021
Title: Machine learning dielectric screening for the simulation of excited state properties of molecules and materials
Authors: Sijia S. Dong, Marco Govoni, Giulia Galli
The talk was given live on March 15, 2021 in Session C21: Machine Learning for Quantum Matter III
Mar. 2020, American Physical Society March Meeting 2020
Title: Machine-Learning-Accelerated Predictions of Optical Properties of Condensed Systems Based on Many-Body Perturbation Theory
Authors: Sijia S. Dong, Marco Govoni, Giulia Galli
Aug. 2018, 256th American Chemical Society National Meeting
Title: Excitation Spectra of the Visual Chromophore by Multiconfiguration Pair-Density Functional Theory: Design of a Strategy for Automatic Active Space Selection
Authors: Sijia S. Dong, Laura Gagliardi, Donald G. Truhlar
Mar. 2016, 251st Americal Chemical Society National Meeting
Title: Towards an Energy Landscape of G Protein-Coupled Receptor (GPCR) Activation Using Hybrid Methods
Authors: Sijia S. Dong, Ravinder Abrol, William A. Goddard III
Poster
June 2018, The 9th International Conference on “Excited State Processes in Electronic and Bio Nanomaterials”
Title: Excitation Spectra of the Visual Chromophore by Multiconfiguration Pair-Density Functional Theory: Design of a Strategy for Automatic Active Space Selection
Authors: Sijia S. Dong, Laura Gagliardi, Donald G. Truhlar
July 2017, The Minnesota Workshop on ab initio Modeling in Solid State Chemistry with CRYSTAL
Title: MC-PDFT Is Comparable to CASPT2 in Describing Charge Transfer Excitations with Intermediate Spatial Overlap: The Retinal Story
Authors: Sijia S. Dong, Laura Gagliardi, Donald G. Truhlar
Feb. 2014, Biophysical Society 58th Annual Meeting
Title: Computational Prediction of the Class A GPCR Active State Conformations
Authors: Sijia S. Dong, Ravinder Abrol, William A. Goddard III
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