500 citations · 842 across the 22 of their papers we have counts for
23 papers
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão +17
Recent advances in machine learning and AI, including Generative AI and LLMs, are disrupting technological innovation, product development, and society as a whole. AI's contributio…
Accelerating science with human-aware artificial intelligence
Jamshid Sourati, James Evans
Artificial intelligence (AI) models trained on published scientific findings have been used to invent valuable materials and targeted therapies, but they typically ignore the human…
Disrupted Routines Anticipate Musical Exploration
Khwan Kim, Noah Askin, James A. Evans
Prior research suggests that taste preferences relate to personality traits, values, shifts in mood, and immigration destination, but understanding everyday patterns of listening a…
Destructive Creation, Creative Destruction, and the Paradox of Innovation Science
Likun Cao, Ziwen Chen, James Evans
Innovation or the creation and diffusion of new material, social and cultural things in society has been widely studied in sociology and across the social sciences, with investigat…
Graph identification of proteins in tomograms (GRIP-Tomo)
August George, Doo Nam Kim, Trevor Moser +3
In this study, we present a method of pattern mining based on network theory that enables the identification of protein structures or complexes from synthetic volume densities, wit…
Quantifying hierarchy in scientific teams
Fengli Xu, Lingfei Wu, James A. Evans
This paper provides a detailed description of the data collection and machine learning model used in our recent PNAS paper "Flat Teams Drive Scientific Innovation" Xu et al. [2022a…