most citedEl Agente: An Autonomous Agent for Quantum Chemistry

50 citations · 57 across the 10 of their papers we have counts for

collaborators

11 papers

cs.AI2026

El Agente Fármaco: A Scalable AI Scientist for Drug Discovery

Marcel Müller, Mohammad Ghazi Vakili, Yoshihiro Ogura +13

Computational drug discovery offers a growing range of tools for proposing and evaluating molecules, but combining them and deciding what to do next still requires substantial expe…

cs.CL2026

OSWorld-Pro: Process-based Evaluation for Computer Use Agents

Zhilin Wang, Shaokun Zhang, Yifan Zhang +9

Evaluation of Computer-Use Agents (CUAs) is often limited to the final deliverables they create (at the end of hundreds of steps) and assessed with functional verifiers, as seen in…

cs.DC2026

Polar: Agentic RL on Any Harness at Scale

Binfeng Xu, Hao Zhang, Shaokun Zhang +9

Reinforcement learning for language agents increasingly depends on custom harnesses that manage long-running context, multi-turn tool use and multi-agent orchestration. However, po…

cs.LG2026

Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence

NVIDIA, :, Amala Sanjay Deshmukh +204

We introduce Nemotron 3 Nano Omni, the latest model in the Nemotron multimodal series and the first to natively support audio inputs alongside text, images, and video. Nemotron 3 N…

cond-mat.quant-gas2026

Phase diagram of a dual-species Rydberg atom ladder

Lei-Yi-Nan Liu, Shi-Rong Peng, Ze-Yuan Huang +4

Dual-species Rydberg atom arrays extend single-species platforms by introducing competing interaction scales and enhanced quantum fluctuations, enabling phenomena beyond homogeneou…

cond-mat.mtrl-sci2026★ 1 cited

El Agente Sólido: A New Age(nt) for Solid State Simulations

Sai Govind Hari Kumar, Yunheng Zou, Andrew Wang +8

Quantum chemistry calculations are a key component of the materials discovery process. The results from first-principles explorations enable the prediction of material properties p…

cs.AI2026

Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text

Ximing Lu, David Acuna, Jaehun Jung +12

Reinforcement Learning with Verifiable Rewards (RLVR) has become a cornerstone for unlocking complex reasoning in Large Language Models (LLMs). Yet, scaling up RL is bottlenecked b…

physics.chem-ph2026★ 1 cited

El Agente Quntur: A research collaborator agent for quantum chemistry

Juan B. Pérez-Sánchez, Yunheng Zou, Jorge A. Campos-Gonzalez-Angulo +12

Quantum chemistry is a foundational enabling tool for the fields of chemistry, materials science, computational biology and others. Despite of its power, the practical application…

physics.chem-ph2026★ 2 cited

El Agente Estructural: An Artificially Intelligent Molecular Editor

Changhyeok Choi, Yunheng Zou, Marcel Müller +10

We present El Agente Estructural, a multimodal, natural-language-driven geometry-generation and manipulation agent for autonomous chemistry and molecular modelling. Unlike molecula…

quant-ph2025★ 3 cited

El Agente Cuantico: Automating quantum simulations

Ignacio Gustin, Luis Mantilla Calderón, Juan B. Pérez-Sánchez +8

Quantum simulation is central to understanding and designing quantum systems across physics and chemistry. Yet it has barriers to access from both computational complexity and comp…

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…