Empowering Materials Science with Large Language Models: An Overview of MatCopilot
Yu Yang Liu, Chuan-Wei Kuo
Poster
AI4X 2025 论文列表
International Conference on AI for X
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Self-Attention Guided CycleGAN for Enhanced Reconstruction of Fibrosis Features in Pathological Images
Cheng Xianda, Nicholas Syn, Cheng Han Ng, Aileen Wee, Gwyneth Soon, HirokazuTakahashi, Ho Khek Yu, Mark Muthiah
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The Digital Lab Facility Manager: Automating operations of research laboratories through “The World Avatar”
Simon D. Rihm, Yong Ren Tan, Wilson Ang, Hou Yee Quek, Xinhong Deng, Michael Teguh Laksana, Jiaru Bai, Sebastian Mosbach, Jethro Akroyd, Markus Kraft
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Finetuning Large Language Models for Prediction of C-H Functionalisation Selectivity
Ahmed M. Zaitoun
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Constructing Accurate and Efficient General-Purpose Atomistic Machine Learning Model with Transferable Accuracy for Quantum Chemistry
Yicheng Chen, Wenjie Yan, Zhanfeng Wang, Jianming Wu, Xin Xu
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DELTA Tracker - A novel gamified health tracking framework for incentivizing adherence to health regimen
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Towards a self-driving lab for metabolic network discovery in biological systems
Lun Ai, Shishun Liang, Stephen Muggleton, Geoff Baldwin
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Expressibility-induced concentration of quantum neural tangent kernels
Li-Wei Yu, Weikang Li, Qi Ye, Zhide Lu, Zizhao Han, Dong-Ling Deng
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Machine Learning-Assisted High-Throughput Exploration of Lead-Free Perovskite Compositions for Memristor Devices
Emha Bayu Miftahullatif, Can Cuhadar, Nripan Mathews, Kedar Hippalgaonkar
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Precise Identification of Topological Phase Transitions with Eigensystem-Based Clustering
Xianquan Yan, Jian-Song Pan
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An in-context approach to estimate the parameters of a stochastic process
Aziz Temirkhanov, Kseniia Kuvshinova, Dmitry Simakov
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Testing programs for optical recognition of molecular structures from scientific articles
Ilya Tonkii, Rodion Golovinskii, Denis Chistiakov, Luzanova Alina, Timur A. Aliev, Shcherbakova Elena Andreevna, Michael G. Medvedev, Dmitrii O. Shkil, Maksim V. Fedorov, Ekaterina V. Skorb
Poster
Quantifying Uncertainty in Physics-Informed Neural Networks
Yip Jun Kai, Eduardo de Conto, Arvind Easwaran
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Reverse Design of High-Activity High-Stability Acidic OER Catalysts Based on MatterGen
Zhihao Wang, Lei Wang, Xiaonan Wang
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A Domain-Specific Prompting Enhancement System for Project Managers: Semantic Augmentation, Recommendation and Hybrid Feedback
HWANG BON GANG, LIANG MINGXUAN, Shi Maruoyan, Zhu Hanjing
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Poster
High-Resolution Maps of Left Atrial Displacements and Strains Estimated with 3D Cine MRI using Online Learning Neural Networks
Christoforos Galazis, Samuel Shepperd, Emma JP Brouwer, Sandro Queirós, Ebraham Alskaf, Mustafa Anjari, Amedeo Chiribiri, Jack Lee, Anil Anthony Bharath, Marta Varela
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LLM-based agent empowered with geometric deep learning, data-oriented approaches and quantum chemistry to unravel synchrotron data of operando catalysis
Bogdan Protsenko, Sergey Alexandrovich Guda, Kulaev Kirill Dmitrievich, Mikhail Lifar, George Asaturov, Nazar Chubkov, Daniil Kupriianenko, George Kochiev Jambolatovich, Alexander Guda, Alexander Soldatov
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