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2025 Syensqo Chairs in Chemistry by the International Solvay Institutes

Laura Gagliardi

University of Chicago, United States of America

Biography

Laura Gagliardi received her undergraduate degree and PhD degree in theoretical chemistry from the University of Bologna in 1997, and then spent two years at Cambridge University, in England, as a postdoctoral scholar. She began her independent academic career as an assistant professor at the University of Palermo, Italy, moving in 2005 to take an appointment as associate professor at the University of Geneva, in Switzerland. In 2009, she moved to the United States where she was a professor at the University of Minnesota. She remained there until her move to the University of Chicago in 2020. Professor Gagliardi She is the Richard and Kathy Leventhal Professor at the University of Chicago with a joint appointment at the Department of Chemistry and the Pritzker School of Molecular Engineering. She also serves as the Director for the Chicago Center for Theoretical Chemistry. She has received many recognitions, including the Peter Debye Award in Physical Chemistry from the American Chemical Society in 2020; the Award in Theoretical Chemistry from the Physical Chemistry Division of the American Chemical Society in 2019, the Humboldt research award in 2018; and the Bourke Award of the Royal Society of Chemistry in 2016. Laura is an Elected Member of the American Academy of Arts and Sciences (2020), the International Academy of Quantum Molecular Science (2019) and Academia Europaea (2018). She also serves as an Associate Editor for the Journal of the American Chemical Society. In addition to her dedication to science, Laura is a strong advocate for women in science, technology, engineering, and mathematics.

Theory, Computation and Machine Intelligence for Reticular Chemistry

Solvay Room on January 28th at 4:00 PM

I will describe the synergies of theory, computation, and machine intelligence to expedite the discovery of innovative reticular materials, with a particular focus on their application in catalysis and water harvesting.

I will first discuss our current endeavors in understanding and optimizing the water-harvesting potential of metal-organic frameworks (MOFs) and covalent organic frameworks (COFs) by the elucidation of the water-filling mechanism. [1], [2]

I will then present a comprehensive computational and data-driven investigation, complemented by experimental work, focusing on sulfur-based MOFs for electrocatalytic transformations relevant to hydrogenation and CO2 reduction.[3] The computational insights have played a pivotal role in guiding the synthesis of novel MOFs. Initiating our study with previously reported Fe4S4 chain coordination polymers, we systematically explore the influence of alternative linkers and counter-cations on the material’s structure. This investigation aims to tailor these materials into porous 2D or 3D frameworks. Notably, our efforts have resulted in the development of a computational workflow for MOF and COF structure prediction.[4]

[1] N. Hanikel, D. Kurandina, S. Chheda, Z. Zheng, Z. Rong, S. E. Neumann, J. Sauer, J. I. Siepmann, L. Gagliardi, and O. M. Yaghi, MOF Linker Extension Strategy for Enhanced Atmospheric Water Harvesting, ACS Central Science., 2023, 9, 551–557, DOI: 10.1021/acscentsci.3c00018.
[2] D. Kurandina, B. Huang, W. Xu, N. Hanikel, A. Darù, G.D. Stroscio, K. Wang, L. Gagliardi, F.D. Toste, O.M. Yaghi, A Porous Crystalline Nitrone-Linked Covalent Organic Framework A. C. Int. Ed. 2023, 62, e202307674 DOI: 10.1002/anie.202307674
[3] N. Jiang, A. Darù, Š. Kunstelj, J. G. Vitillo, M.E. Czaikowski, A. Wuttig, L. Gagliardi, J.S. Anderson. Catalytic, Spectroscopic, and Theoretical Studies of Fe4S4-Based Coordination Polymers as Heterogenous CPET Mediators for Electrocatalysis J. Am. Chem. Soc., 2024, 146, 12243–12252. DOI: 10.1021/jacs.4c03726
[4] A. Darù, J. Anderson, D. Proserpio, and L. Gagliardi, Symmetry is the Key to the Design of Reticular Frameworks, ChemRxiv, 2024. DOI: 10.26434/chemrxiv-2024-37wks

COFFEE AND TEA WILL BE SERVED AT 3:45 P.M AND DRINKS AT 5:00 P.M. IN FRONT OF THE SOLVAY ROOM

A Journey with Strong Electron Correlation

Solvay Room on February 18th at 4:00 PM

Quantum chemistry calculations of large, strongly correlated systems based on multireference wave functions are typically limited by the computation cost that scales exponentially with the size of the complete active space (CAS) used to describe the phenomena of interest. I will describe advancements in electronic structure theory, focusing on the exploration of multimetallic molecular systems characterized by strong electron correlation. The localized active space self-consistent field (LASSCF) method provides a practical alternative to CAS approaches by factorizing the wave function into localized fragments, with inter-fragment correlation reintroduced via LAS state interaction (LASSI).[1] However, optimal strategies for defining LAS fragments and LASSI model spaces remain an open challenge. I will present our latest efforts to automate LASSI and its application to multimetallic complexes.[2] Finally I will discuss post-CASSCF methods such as multiconfiguration pair-density functional theory (MC-PDFT)[3],[4] which provide an efficient way to recover electronic correlation outside the active space.

[1] M. R. Hermes, R. Pandharkar. L. Gagliardi, Variational Localized Active Space Self-Consistent Field Method, J. Chem. Theory Comput. 2020, 16, 4923–4937.
[2] V. Agarawal, D. S. King, M. R. Hermes, L. Gagliardi, Automatic State Interaction with Large Localized Active Spaces for Multimetallic Systems, J. Chem. Theory Comput., 2024, 20, 4654-4662.
[3] M. Hennefarth, M. Hermes, D. Truhlar, L. Gagliardi, Linearized Pair-Density Functional Theory, J. Chem. Theory Comput., 2023, 19, 3172–3183.
[4] J. Bao, D. Zhang, S. Zhang, L. Gagliardi, D. Truhlar, A Hybrid Meta On-Top Functional for Multiconfiguration Pair-Density Functional Theory, PNAS, 2025, 122,. e2419413121.

Multireference Electronic Structure and Machine Learning for Reactivity and Excited States

Solvay Room on September 2nd at 4:00 PM

Multireference electronic structure methods are indispensable for accurately describing systems with strong multiconfigurational character, yet their high computational cost and reliance on manual active-space selection limit widespread application. These constraints preclude black-box usage and the creation of large, systematic datasets. To address these challenges, we have developed automated multireference workflows to generate extensive datasets for excitation energies[1] and reactivity[2].

To extend these methods to reactive dynamics, we constructed machine learning potentials (MLPs) trained on multireference data. A key difficulty is the sensitivity of multireference results to active-space choices across diverse geometries. We resolved this by introducing the weighted active space protocol (WASP)[3], a systematic strategy for consistent active-space assignment across nuclear ensembles. Integrating WASP with MLPs and enhanced sampling yields a data-efficient active learning framework that produces robust, multireference-quality MLPs. We demonstrate this approach on TiC⁺-catalyzed methane C–H activation, a reaction inaccessible to conventional density functional theory due to its strong multireference character.

[1] J. J. Wardzala, D. S. King, and L. Gagliardi, J. Phys. Chem. A, 2025, 129, 2683–2691.
[2] J. J. Wardzala, D.S. King, L. Ogunfowora, B. Savoie, and L. Gagliardi, ACS Cent. Sci, 2024, 10, 833–841.
[3] A. Seal, S. Perego, M. R. Hennefarth, U. Raucci, L. Bonati, M. Parrinello, L. Gagliardi 2025 https://doi.org/10.48550/arXiv.2505.10505.

January 2025
February 2025
September 2025
October 2025

Other Lectures and visits

January 29th

VUB

February 19th

UMONS

February 20th

Syensqo

February 21st

UGent

September 3rd

Eindhoven

October 22nd

UNamur

October 23rd

ULiège

October 24th

KULeuven

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