Selected Conference Presentations

Talk

(Upcoming) 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 will be 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