Rutgers Theory Symposium

Focus

ML/Data-Based and Physics-Based Methods

Talks given by postdocs, graduate and undergraduate students

When

September 4, 2025
9:20 AM to 5:00 PM
(Eastern US time zone)

Location

101 Warren St., Newark, New Jersey

Smith Hall, Room 206

Participants

Morning session: ML/Data-based methods and software

TIME	ACTIVITY
9:20	Opening Remarks

TIME	SPEAKER	GROUP	TITLE
9:30	Dr. Bhaskar Rana	Pavanello group	Learning the Electronic Structure of Excited States via the 1-RDM
9:50	Rishi Rao	Zhu Group	Machine Learning of Self-energies for Accelerated DMFT Calculations
10:10	Dr. Aniket Mandal	Pavanello group	QEpy: Quantum ESPRESSO in Python

TIME	ACTIVITY
10:30	Break

TIME	SPEAKER	GROUP	TITLE
11:00	Meiyan Wang	Zhu group	From Semiconductors to Superconductors: A Data-Driven Pipeline for Exploring Complex Energy Landscapes
11:20	Jessica Martinez Bernal	Pavanello Group	Machine Learning the 2-RDM
11:40	Dr. Ezekiel Oyeniyi	Pavanello group, Zoom	Pseudopotentials for Orbital Free DFT

TIME	ACTIVITY
12:00	Lunch Break

TIME	SPEAKER	GROUP	TITLE
2:30	Dr. Jack Taylor	Maitra group	Ground-to-excited state conical intersections in LR-TDDFT: Implications for nonadiabatic molecular dynamics
2:50	Anya Baranova	Maitra Group	Excited-State Densities from Linear-Response TDDFT
3:10	Dhyey Ray	Maitra group	The Application of Response-Reformulated TDDFT to Strong-Field Dynamics in Systems with Double Excitations

TIME	ACTIVITY
3:30	Break

TIME	SPEAKER	GROUP	TITLE
4:00	Valeria Rios Vargas	Pavanello group	Orbital-Free TDDFT for Plasmonic Nanoparticles
4:20	Dr. Evaristo Villaseco	Maitra Group	Electronic Coherences in Molecules: The Nuclear Quantum Momentum as Hidden Agent

TIME	ACTIVITY
4:40	Open Discussion