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Laura Gagliardi on Muck Rack

Laura Gagliardi

Chicago
As seen in: Nature, Wiley Online Library, PNAS, ACS Publications, Science Magazine, Royal Society of Chemistry, Journal of Chemical Physics, Chemistry World, Ragan
U Chicago Professor. Previously at U Minnesota and U Geneva. From Italy. I value a culture of diversity.
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Articles

Localized sample-based quantum diagonalization for strongly correlated chemistry

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By Laura Gagliardi, Tristan Luca Saidi, Abigail Hickok
| PNAS Verified
Localized sample-based quantum diagonalization for strongly correlated chemistry Qiaohong Wang, Kevin J. Sung, Ruhee D’Cunha, +6 , Matthew R. Hermes, Tanvi Gujarati, Yukio Kawashima, Yu-ya Ohnishi, Gavin O. Jones https://orcid.org/0000-0003-1528-6438, Mario Motta mario.motta@ibm.com, and Laura Gagliardi https://orcid.org/0000-0001-5227-1396 lgagliardi@uchicago.edu -6Authors Info & Affiliations Contributed by Laura Gagliardi; received February 19, 2026; accepted June 1, 2026; reviewed by Victor S.
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4 prompting tricks that will take your AI from basic to brilliant

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By Laura Gagliardi
| Ragan Verified
Laura Gagliardi is a UX strategist and AI comms expert in the intersection of tech, design and language. She is also an advisor to the Center for AI Strategy. Prompting has gone from novelty to operational skill, and the stakes are even higher in Q4 as AI powers executive briefs, internal messaging and stakeholder comms. But often, AI language is generic and dull, dull, dull. How to fix it? By knowing how to direct AI with precision. 1.
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MC25: An Accurate Meta Pair-Density Functional for Multiconfiguration Pair-Density Functional Theory and Linearized Pair-Density Functional Theory

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By Dayou Zhang, Younghwan Kim, Matthew R. Hennefarth, Laura Gagliardi
| dx.doi.org
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