AI-native interfaces 1experiment automation 1hardware orchestration 1provenance tracking 1self-driving laboratories 1
From the 1 of 2 linked papers with an AI index.
2 papers
cond-mat.mtrl-sci2026
PUDA: An AI-Native Hardware Harness for Self-Driving Laboratories
Zekun Ren, Hongzhao Tan, Jiaen Yee +1
PUDA is a command-line based, AI-native hardware framework that lets autonomous agents control and monitor experiments in self‑driving laboratories while ensuring deterministic exe…
cond-mat.mtrl-sci2026
Fast and Accurate Prediction of Lattice Thermal Conductivity via Machine Learning Surrogates
Zeyu Wang, Shuya Yamazaki, Martin Hoffmann Petersen +11
The appearance of generative models has opened vast chemical spaces in the design of functional materials. Although machine learning interatomic potentials (MLIPs) have substantial…