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#artificial intelligence Preprint Oct 2026

FrontierMat: Benchmarking Language Models at the Frontier of Materials R&D

FrontierMat, a benchmark of 330 problems drawn from frontier academic and industrial research in fields including aerospace, semiconductors, embodied intelligence and nuclear fusion, is introduced, providing a testbed for measuring progress toward language models that support frontier materials R&D.

Feng Chen, Jian-Guo Huang, Yu-Shan Xiao et al. · 0 citations
Book Open access Nov 2026

DeformableGrasp: Efficient Dexterous Grasping of Deformable Objects via Reinforcement Learning

Achieving stable and diverse dexterous grasping of deformable objects remains a fundamental challenge in robotics, due to high-dimensional action spaces and complex material properties. In this paper, we propose DeformableGrasp, a multimodal perception-guided reinforcement learning framework that enables adaptive grasp...

Ke-Yu Wang, Bing-Cong Lu, Zheng-Xue Cheng et al. · 0 citations

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