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20182026
most citedAccelerating Photovoltaic Materials Development via High-Throughput Experiments and Machine-Learning-Assisted Diagnosis

340 citations · 609 across the 14 of their papers we have counts for

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cond-mat.mtrl-sci2026

PUDA: An AI-Native Hardware Harness for Self-Driving Laboratories

Zekun Ren, Hongzhao Tan, Jiaen Yee +1

Physical Unified Device Architecture (PUDA) is an AI-native hardware harness for self-driving laboratories (SDLs). Rather than building a human-centered graphical user interface (G…

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…