Recent Articles
Tao Song, Man Luo, Xiaolong Zhang, Linjiang Chen, Yan Huang et al. · Journal of the American Chemical Society (2025)
Multiagent-driven autonomous chemist demonstrates the vibe physics model of AI agents autonomously conducting research, directly matching HIGH PRIORITY on agentic research workflows
Dyke Ferber, Omar S. M. El Nahhas, Georg Wölflein, Isabella C. Wiest, Jan Clusmann et al. · Nature Cancer (2025)
Autonomous AI agent framework for clinical/scientific decision-making advances agentic AI systems with multi-tool integration, exemplifying autonomous research workflows
Kexin Huang, Serena Zhang, Hanchen Wang, Yuanhao Qu, Yingzhou Lu et al. · 2025
General-purpose biomedical AI agent addresses autonomous research execution with multi-tool capabilities and long-context reasoning for scientific tasks
Cheng Chen, Kevin P. Nuckolls, Shuhan Ding, Wangqian Miao, Dillon Wong et al. · Nature (2024)
Strong electron-phonon coupling in magic-angle twisted bilayer graphene hits multiple MEDIUM PRIORITY topics: electron-phonon, moiré physics, 2D materials, and graphene
J. G. Checkelsky, B. Andrei Bernevig, Piers Coleman, Qimiao Si, S. Paschen · Nature Reviews Materials (2024)
Comprehensive review of flat bands and strongly correlated physics in moiré systems directly addresses moiré materials and flat band physics priorities
Classic Foundations
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang et al. · Frontiers of Computer Science (2024)
Foundational survey on LLM-based autonomous agents (894 citations) establishes the theoretical framework for agentic AI systems matching HIGH PRIORITY interests
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang et al. · ArXiv.org (2023)
Foundational survey of large language models (1373 citations) provides essential background for modern AI-driven scientific approaches
Salvatore Cuomo, Vincenzo Schiano Di Cola, Fabio Giampaolo, Gianluigi Rozza, Maziar Raissi et al. · Journal of Scientific Computing (2022)
Seminal physics-informed neural networks work (2000 citations) bridges machine learning and scientific computing, foundational for computational physics applications
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik et al. · Information Fusion (2019)
Most-cited XAI foundational work (8303 citations) essential for interpretable autonomous agents in scientific discovery
Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Q. Al-Dujaili, Ye Duan et al. · Journal Of Big Data (2021)
Foundational deep learning review (7159 citations) underpins modern AI methodologies used in computational materials research
Exploratory
Alireza Ghafarollahi, Markus J. Buehler · Digital Discovery (2024)
Multi-agent LLM collaborations for protein/molecular discovery demonstrate cross-domain agentic workflows with surprising potential for materials design automation
Mara Schilling-Wilhelmi, Martiño Ríos-García, Sherjeel Shabih, M.V. Gil, Santiago Miret et al. · Chemical Society Reviews (2024)
LLM-based extraction of chemical data from text shows surprising NLP×materials science intersection, enabling automated knowledge synthesis for materials discovery