Author Archives: Mónica Lugo

We are pleased to announce the publication of our recent Chemical Reviews article:

“Multireference Embedding and Fragmentation Methods for Classical and Quantum Computers: From Model Systems to Realistic Applications.”

This Review presents a comprehensive overview of multireference embedding and fragmentation strategies developed to address strong electronic correlation in molecules and materials. We survey a range of embedding frameworks, with particular emphasis on Density Matrix Embedding Theory (DMET) and Localized Active Space (LAS)–based methods.

The article further examines how classical embedding concepts inform emerging quantum computing strategies, including fragmentation-compatible ansätze and hybrid quantum–classical workflows. Particular attention is given to scalability and the progression from model Hamiltonians to chemically realistic systems, such as transition metal complexes and extended materials.

We hope this Review serves both as a reference for researchers entering the field and as a roadmap for future developments at the interface of multireference electronic structure, embedding methodologies, and quantum computing for chemical systems.

We are grateful to all co-authors for their insightful contributions and collaboration throughout this effort.

In 1926, Erwin Schrödinger introduced an equation that would fundamentally reshape our understanding of the microscopic world. One hundred years later, the Schrödinger equation remains the cornerstone of modern chemistry and materials science—powering discoveries that range from molecular design to advanced energy technologies.

To mark this centennial, the American Chemical Society’s news magazine, Chemical & Engineering News (C&EN), published a commemorative feature examining the equation’s profound and lasting influence. Among the experts invited to reflect on its impact is University of Chicago Department of Chemistry Professor Laura Gagliardi, whose work sits at the forefront of theoretical and computational chemistry.

“Today, chemistry without the Schrödinger equation is simply unthinkable,” Gagliardi notes in the feature, underscoring how deeply embedded quantum mechanics has become in the fabric of chemical research.

Over the past century, what began as a bold theoretical framework has evolved into an indispensable predictive tool. From mapping electronic structure to guiding the rational design of catalysts and functional materials, the Schrödinger equation enables scientists to probe chemical systems with extraordinary precision. Now, as artificial intelligence and quantum computing mature, researchers are finding powerful new ways to solve and extend Schrödinger’s original formulation—opening doors to discoveries once thought computationally out of reach.

Professor Gagliardi’s contributions highlight how quantum theory, advanced algorithms, and high-performance computing are converging to accelerate innovation across chemistry and materials science. The centennial is not merely a celebration of a historic equation, but a reminder that its influence continues to expand into new scientific frontiers.

Read the full C&EN feature here: https://shorturl.at/goaaL

Joanna Wang, a Ph.D. student in the Gagliardi Group, was recognized at the 2025 Chicago Quantum Summit for her outstanding research in quantum computing. She received second-place honors in the research poster competition for her work on sample-based quantum ionization, a method that could significantly improve how future quantum computers model complex chemical systems.

The Summit drew record attendance this year, highlighting Chicago’s growing role as a global quantum hub. Joanna’s work, supported by an IBM grant, explores how hybrid quantum–classical approaches can push beyond the limits of classical algorithms and make quantum technologies more practical and scalable.

Read more in the full article: “UChicago Researchers Recognized at 2025 Chicago Quantum Summit.”

Researchers in the Gagliardi Group have uncovered a new strategy for improving materials used in direct air capture of carbon dioxide. The work, published December 21 in the Journal of the American Chemical Society (JACS), was selected as an Editor’s Choice for its scientific impact.

Led by Prof. Laura Gagliardi in collaboration with Nobel laureate Prof. Omar Yaghi (UC Berkeley), the study was carried out by first author Hilal Daglar, a postdoctoral researcher in the Gagliardi Group. By investigating discrepancies between computational predictions and experimental results, the team identified residual water as a key factor limiting CO₂ capture in covalent organic frameworks (COFs).

This insight led to a simple design rule: introducing hydrophobic pore environments during synthesis prevents water retention and improves carbon capture efficiency. The research was conducted within the Center for Advanced Materials for Environmental Solutions (CAMES) and highlights the power of theory–experiment collaboration in materials discovery.

Read the full article here.