Ekadashi Pradhan

Computational Chemistry • Collaborations • App Development

Current Research Projects

⚛ Singlet Fission in Molecular and Extended Systems

Designing intramolecular singlet fission (ISF) molecules and materials, studying ultrafast ISF, triplet separation, and triplet fusion dynamics using state-of-the-art computational techniques. Developing algorithms and nonadiabatic molecular dynamics (NAMD) methodologies to advance understanding and applications.

Role: NAMD method development, coding, modeling, application

Selected publications: ChemPhotoChem 2020

⚛ Nonadiabatic Dynamics in Silicane Materials

Exploring excited-state processes and charge transfer in novel silicane systems.

Role: Electronic structure modeling, dynamics

Selected publications: PCCP 2025

🌀 Unified Jahn–Teller and Pseudo-Jahn–Teller Vibronic Coupling Theory

Developing a unified theoretical framework and effective Hamiltonians to describe Jahn–Teller (JT), pseudo-Jahn–Teller (PJT), and spin–orbit vibronic coupling phenomena across axial, tetrahedral, and octahedral symmetries. Investigating topological, symmetry-adapted, and seam-space features of conical intersections, with applications to molecular spectroscopy, photophysics, and nonadiabatic dynamics.

Role: Theory development, Hamiltonian construction, symmetry analysis, publication

Selected publications: JCTC 2023

Completed Research Projects

💠 Neural Network Potential Energy Surfaces for Quantum Dynamics

Developed high-accuracy full-dimensional potential energy surfaces (PESs) using a neural network exponential fitting approach (NN-expnn) for vibrational quantum dynamics simulations. Constructed sum-of-products PESs for CS2, HFCO, and HONO based on high-level ab initio calculations, and validated using the Multi-Configuration Time Dependent Hartree (MCTDH) method. Demonstrated a seamless interface between NN-expnn and the MCTDH software suite.

Role: Method development, ab initio computation, NN fitting, vibrational state analysis

Publications: PhD Thesis - UofA 2016, PCCP 2016, JCP 2016, MolPhys 2016, JMolSpec 2016, JTCC 2016, JCPA 2016

⚡ Nonadiabatic Dynamics with ΔSCF Excited States in Molecular and Condensed Systems

Developed and implemented a novel ΔSCF-based nonadiabatic molecular dynamics (NA-MD) methodology within the open-source Libra-X software. This approach models excited-state charge and energy transfer processes in organic molecules, photovoltaic materials, and warm dense matter by incorporating electron–hole interactions and electron–phonon back-reaction within a surface hopping framework. Applications include charge transfer at donor–acceptor interfaces and predictive modeling of nonadiabatic energy relaxation times in complex materials.

Role: Method development, Libra-X implementation, excited-state dynamics, application to charge and energy transfer

Selected publications: J. Phys.: Condens Matter 2018, PCCP 2018, PCCP 2016

Collaborative Projects

🧪 Computational Chemistry for Phosphorus-Based Functional Materials

Collaborated with synthetic and inorganic chemists at York University to study the structure, bonding, reactivity, and spectroscopic properties of novel phosphorus-containing heterocycles and nanocarbons. Supported multiple experimental studies with quantum chemical calculations, proposing reaction mechanisms, assisting structural assignments, and interpreting NMR and electronic spectra. This work revealed the unique electronic behavior of pentacoordinate phospholes and multifunctional phosphacyclic nanocarbons.

Role: Mechanistic analysis, DFT simulations, spectroscopy modeling, structure–reactivity interpretation

Selected publications: Chem. Sci. 2025, Chem. Eur. J. 2023, Dalton Trans. 2021

🧪 Stability and Reactivity of Alkylidene Dihydropyridines (ADHPs)

Partnered with experimental organic chemists to study the stability and decomposition pathways of alkylidene dihydropyridines (ADHPs), a class of electron-rich nucleophilic intermediates derived from pyridine dearomatization. Performed computational investigations to elucidate the mechanistic origin of their oxidative degradation and hydrolytic behavior under different substituents. Supported experimental NMR and redox data with electronic structure calculations and reaction profile modeling.

Role: Mechanistic modeling, stability analysis, spectroscopy support, structure–reactivity interpretation

Publication: Org. Biomol. Chem. 2024

⚗️ BF3-Catalyzed Fluorocarbamoylation via Halide Recycling Mechanism

Contributed to the mechanistic understanding of a BF3-catalyzed intramolecular fluorocarbamoylation reaction that enables stereoselective formation of fluorinated oxindoles and γ-lactams. Performed detailed computational studies to propose a stepwise halide recycling mechanism consistent with experimental kinetics and selectivity data. Explored the electronic origins of Z–E isomerization in methylene oxindoles via aromatic transition states and explained reactivity trends and product distributions in different scaffolds.

Role: Mechanism development, reaction kinetics modeling, spectroscopic and structural interpretation

Publication: J. Am. Chem. Soc. 2023

🧪 Mechanistic Insights into Lewis Acidic Aminoborane Catalysts

Collaborated with organometallic chemists to study the structure, reactivity, and catalytic behavior of Lewis acidic aminoboranes and phenothiazylboranes. Provided computational insight into the origins of Lewis acidity, ligand effects, and catalytic mechanisms. In particular, clarified the heterolytic mechanism of stannane dehydrocoupling in systems initially suspected to follow a frustrated Lewis pair (FLP) homolytic pathway. Supported structure–reactivity analysis through electronic structure modeling and spectroscopy simulations.

Role: Mechanistic elucidation, Lewis acidity analysis, DFT modeling, catalytic pathway interpretation

Selected publications: Org. Biomol. Chem. 2021, Dalton Trans. 2020

App Development Projects

💻 Home Tutor App

React + Firebase app for elementary math and language practice.

View Demo
💻 Investment Tracker App

React + Python app for tracking Canadian stock investments, dividends, and growth trends.

Coming Soon
💻 Scientific Visualization Tool

Flask + Plotly app for visualizing nonadiabatic dynamics and quantum chemistry data.

Coming Soon

I am always open to new collaborations, whether in computational chemistry or software development. Feel free to get in touch!