Oral
AI4X 2025 Papers
International Conference on AI for X
Decision breakdown
236papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral14461.0%
- Poster9239.0%
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TitleTypeTopic
ANTIPASTI: interpretable prediction of antibody binding affinity exploiting Normal Modes and Deep Learning
Kevin Michalewicz, Mauricio Barahona, Barbara Bravi
Oral
Oral
Thermal Effects on Optoelectronics: A Graph Neural Network Approach
Pol Benítez, Edgardo Saucedo, Claudio Cazorla
Oral
DARWIN 1.5 : Large Language Models as Materials Science Adapted Learners
Tong Xie, Yuwei Wan, Yuchen Zeng, Clara Grazian, Wenjie Zhang, Dongzhan Zhou, Yixuan Liu, Shaozhou Wang, Chunyu Kit, Wanli Ouyang, Bram Hoex
Oral
Machine Learning-Driven Insights for Phase-Stable FAxCs1–xPb(IyBr1–y)3 Perovskites in Tandem Solar Cells
Ran Luo, Yi Hou
Oral
Composition driven machine learning for unearthing high-strength lightweight multi-principal element alloys
Chee Koon Ng
Oral
CogCommon: Enhancing Cross-Domain Knowledge Extraction with LLM-Assisted Commonality Discovery
Chong Hu, Hangwei Qian, Ivor Tsang
Oral
Dynamical error metrics for machine learning forecasting
Zhou FANG, Gianmarco Mengaldo
Oral
Discovering solid electrolytes through the analysis of machine-learned potential energy surfaces
Artem Maevskiy, Alexandra Carvalho, Emil Sataev, Volha Turchyna, Keian Noori, Aleksandr Rodin, A. H. Castro Neto, Andrey E. Ustyuzhanin
Oral
Redefining Catalysis Predictions Through Physics-Based Gaussian Model and Data-Driven Benchmarks: AuPd Alloy in Oxygen Reduction Reaction Catalysis for Fuel Cell Applications
Neeru Chaudhary, Chuhong Lin, Ng Yan Ting, Kedar Hippalgaonkar, Tej Salil Choksi
Oral
AutoEIS: Automated Bayesian Model Selection and Analysis for Electrochemical Impedance Spectroscopy
Runze Zhang, debashish sur, Robert Black, Kangming Li, John Scully, Jason Hattrick-Simpers
Oral
Literature-based Hypothesis Generation: Predicting the evolution of scientific literature to support scientists
Tarek R. Besold, Uchenna Akujuobi, Samy Badreddine, Jihun Choi, Hatem Elshazly, Frederick Gifford, Chrysa Iliopoulou, Kana Maruyama, Kae Nagano, Pablo Sanchez Martin, Thiviyan Thanapalasingam, Alessandra Toniato, Christoph Wehner
Oral
Unsupervised Machine Learning for Phase Identification and Characterization of High-Resolution STEM EELS in Novel Battery Materials
Zhen Yuan Yeo, Wenhui Lai, Jong Hak Lee, Deepan Balakrishnan, Barbaros Özyilmaz, N. Duane Loh
Oral
Embedding material graphs using the electron-ion potential: application to material fracture
Sherif Abdulkader Tawfik, Tri Minh Nguyen, Salvy Russo, Truyen Tran, Sunil Gupta, Svetha Venkatesh
Oral
MapReader: a framework for learning a visual language model for map analysis
Yifan Zhang, Wei Luo
Oral
Finite-difference least square methods for solving Hamilton-Jacobi equations using neural networks
Carlos Esteve Yague, Richard Tzong-Han Tsai, Alex Massucco
Oral
Bridging the AI4Materials Innovation Gap — A Startup’s Blueprint for Industrial Impact
Yu Yang Fredrik Liu
Oral
Oral
Automated Benchmarking of LLMs: Applying Regression to Estimate LLM Accuracy
Suryaansh Jain, Umair Z. Ahmed, Shubham Sahai, Ben Leong
Oral