activity
20192026
most citedEl Agente: An Autonomous Agent for Quantum Chemistry

50 citations · 77 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026★ 3 cited

El Agente Gráfico: A Semantic Execution Runtime for Scientific Agents

Jiaru Bai, Abdulrahman Aldossary, Thomas Swanick +12

Large language models (LLMs) can plan scientific workflows and generate code, but these capabilities do not specify how scientific state is validated, transferred and recorded acro…

cs.AI2025★ 50 cited

El Agente: An Autonomous Agent for Quantum Chemistry

Yunheng Zou, Austin H. Cheng, Abdulrahman Aldossary +13

Computational chemistry tools are widely used to study the behaviour of chemical phenomena. Yet, the complexity of these tools can make them inaccessible to non-specialists and cha…

cs.LG2024★ 19 cited

Spiers Memorial Lecture: How to do impactful research in artificial intelligence for chemistry and materials science

Austin Cheng, Cher Tian Ser, Marta Skreta +8

Machine learning has been pervasively touching many fields of science. Chemistry and materials science are no exception. While machine learning has been making a great impact, it i…

quant-ph2024★ 2 cited

Faster Algorithmic Quantum and Classical Simulations by Corrected Product Formulas

Mohsen Bagherimehrab, Luis Mantilla Calderon, Dominic W. Berry +6

Hamiltonian simulation using product formulas is arguably the most straightforward and practical approach for algorithmic simulation of a quantum system's dynamics on a quantum com…

quant-ph2024★ 2 cited

Chemically Motivated Simulation Problems are Efficiently Solvable by a Quantum Computer

Philipp Schleich, Lasse Bjørn Kristensen, Jorge A. Campos Gonzalez Angulo +6

Simulating chemical systems is highly sought after and computationally challenging, as the number of degrees of freedom increases exponentially with the size of the system. Quantum…

physics.chem-ph2019★ 1 cited

Development of an Advanced Force Field for Water using Variational Energy Decomposition Analysis

A. K. Das, L. Urban, I. Leven +4

Given the piecewise approach to modeling intermolecular interactions for force fields, they can be difficult to parameterize since they are fit to data like total energies that onl…