14 citations · 37 across the 4 of their papers we have counts for
4 papers
Perspective on Utilizing Foundation Models for Laboratory Automation in Materials Research
Kan Hatakeyama-Sato, Toshihiko Nishida, Kenta Kitamura +4
This review explores the potential of foundation models to advance laboratory automation in the materials and chemical sciences. It emphasizes the dual roles of these models: cogni…
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…
Reaction-diffusion kinetics on lattice at the microscopic scale
Wei-Xiang Chew, Kazunari Kaizu, Masaki Watabe +3
Lattice-based stochastic simulators are commonly used to study biological reaction-diffusion processes. Some of these schemes that are based on the reaction-diffusion master equati…
A computational framework for bioimaging simulation
Masaki Watabe, Satya N. V. Arjunan, Seiya Fukushima +6
Using bioimaging technology, biologists have attempted to identify and document analytical interpretations that underlie biological phenomena in biological cells. Theoretical biolo…