Transforming the Synthesis of Carbon Nanotubes with Machine Learning Models and Automation
Yue Li, Liu Qian, Jin Zhang
Oral
AI4X 2025 论文列表
International Conference on AI for X
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按官方录用论文列表统计，可能与会议公布的数字略有出入。
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Machine learning of electronic charge densities in the simulation of electrochemical interfaces
Mathieu Salanne, Andrea Grisafi
Oral
Minimizing the carbon footprint of 3D printing concrete: Leveraging parametric LCA and neural networks through multiobjective optimization
Zibo Willy Jin, Jean-François Caron, Claudiane Ouellet-Plamondon
Oral
Metastable Polymorph Stabilization with Physics-based Descriptor Engineering and Machine Learning
Haiwen Dai, Andy Paul Chen, Shuya Yamazaki, Andre KY Low, Jose Recatala-Gomez, Meng Fanxu, Kedar Hippalgaonkar
Oral
Programmatic Reinforcement Learning for Trustworthy Microgrid Management
Subrat Prasad Panda, Blaise Genest, Arvind Easwaran
Oral
Predicting defect formation energies in semiconductors using machine learning
Savyasanchi Aggarwal, Martin Hoffmann Petersen, Seán R. Kavanagh, Alexander G. Squires, Kedar Hippalgaonkar, David O. Scanlon
Oral
Algorithm unrolling for solving inverse problems in signal and image processing
Caroline Chaux, Abhijit Singh, Emmanuel Soubies, Vincent Y. F. Tan
Oral
Discovering Fault-Tolerant Quantum Circuits and Quantum Error Correction Codes via Reinforcement Learning
Remmy Zen, Jan Olle, Florian Marquardt
Oral
Machine Learning Aided Atomistic Modeling of Solid State Electrolyte Interphase Formation for Li/Li7P3S11
Bryant Li, Kristin Persson
Oral
XAI4Extremes: An explainable AI framework for understanding extreme-weather precursors
Jiawen Wei, Aniruddha Bora, Vivek Oommen, Chenyu Dong, Juntao Yang, Jeff Adie, Chen Chen, Simon See, George Em Karniadakis, Gianmarco Mengaldo
Oral
Learning Dynamics of Nonlinear Field-Circuit Coupled Problems with a Physics-Data Combined Model
Shiqi Wu, Gérard Meunier, Olivier Chadebec, Qianxiao Li, Ludovic Chamoin
Oral
Decoding Brain Waves: EEG Attention Detection Across Performance Levels
Jamie Cheng Jia Ping
Oral
Decoding kinetic selectivity in diffusion-limited solid state synthesis reactions through machine-learning accelerated molecular dynamics
Vir Karan, Max C. Gallant, Kristin Persson
Oral
Deep Topological Denoising: Autoencoder-Driven Noise Suppression for Atomic Force Microscopy data with Topological Data Analysis Validation
Aleksandr S. Aglikov, Alexey V. Redkov, Timur A. Aliev, Michael Nosonovsky, Ekaterina V. Skorb
Oral
A Symmetry-Aware Multimodal Transformer for Spin Hall Conductivity Prediction
Ying Zhang, Lei Shen, Wu Yihong
Oral
Simulating Professional Workplaces: A Pedagogical Framework for Generative AI-Powered Role-Play for Competency-Based Education
Liu Liu, Ng Sook Mun, Kaizen Low, Ben Leong
Oral
Phase Space Visualization and Neural Networks: Learning Hamiltonian Dynamics in the Duffing System
Abrari Noor Hasmi, Haralampos Hatzikirou, Hadi Susanto
Oral
Conversational Self-Play for Discovering and Understanding Psychotherapy Approaches
Onno P. Kampman, Michael Xing, Charmaine Lim, Ahmad Ishqi Jabir, Ryan Louie, Jimmy Lee, Robert JT Morris
Oral
Efficient preconditioning for iterative methods with graph neural networks
Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Yuri M. Laevsky, Ivan Oseledets, Ekaterina Muravleva
Oral
Digital Exploration of Metal-Organic Polyhedra in The World Avatar
Aleksandar Kondinski, Simon D. Rihm, Pei Chong, Yong Ren Tan, Srishti Ganguly, Sebastian Mosbach, Jethro Akroyd, Ari Fischer, Xu Rong, Markus Kraft
Oral