Physics-informed neural network for single-shot phase retrieval in cryo-EM
Yixiao Yang, Joel Yeo, Yong Zi Tan, N. Duane Loh
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%
Browse all papers
TitleTypeTopic
Using Large Language Models to Automate Code Generation for PDE Solvers
Haoyang Wu, Lailai Zhu
Poster
Material Knowledge Integration Through Large Language Model Based Agents
Yi Shen Tew, Zhihao Wang, Xiaonan Wang
Poster
Enhancing Diagnostic Accuracy in Rare and Common Fundus Diseases with a Knowledge-Rich Vision-Language Model
Meng Wang, Tian Lin, Aidi Lin, Yih-Chung Tham, Dianbo Liu, Wendy Wong, Sahil Thakur, Beau Fenner, Haoyu Chen, Huazhu Fu, Ching-Yu Cheng
Oral
Utilizing Machine Learning for Identifying Quantum-Many-Body Phase Transitions
Ron Ziv, David Wei, Antonio Rubio Abadal, Anna Keselman, Eran Lustig, Johannes Zeiher, Ronen Talmon, Immanuel Bloch, Mordechai Segev
Oral
Data-driven parametrization of molecular mechanics force fields for expansive chemical space coverage
Tianze Zheng, Ailun Wang, XU HAN, Yu Xia, Xingyuan Xu, Jiawei Zhan, Yu Liu, Yang Chen, Zhi Wang, Xiaojie Wu, Sheng Gong, Wen Yan
Oral
Virp: neural network-accelerated prediction of physical properties in site-disordered materials
Andy Paul Chen, Martin Hoffmann Petersen, Kedar Hippalgaonkar
Oral
Oral
Learning Non-Equilibrium Dynamics of Polymer Chains: A Data-Driven Approach
Beatrice W Soh, Eleonore Vissol-Gaudin, Kedar Hippalgaonkar, Qianxiao Li
Oral
CondensNet: A Physically-Constrained Hybrid Deep Learning Model for Stable Long-Term Climate Simulations
Xin Wang, Jianda Chen, Juntao Yang, Jeff Adie, Simon See, Kalli Furtado, Chen Chen, Troy Arcomano, Romit Maulik, Wei Xue, Gianmarco Mengaldo
Oral
Fusion of quantum-mechanical and experimental data for phase diagram calculation
Timofei Miryashkin, Alexander Shapeev
Oral
Harnessing Physics-inspired Machine Learning to Design Nanocluster Catalysts for Dehydrogenating Liquid Organic Hydrogen Carriers
Chuhong Lin, Bryan C. S. Lee, Uzma Anjum, Asmee Prabhu, Neeru Chaudhary, Rong Xu, Tej S Choksi
Oral
Unsupervised Learning of Transient Structural Motifs of ssDNA Using Translationally and Rotationally Invariant Features
Karis Kungsamutr, Yan Jie, N. Duane Loh
Oral
Elf autoencoder for unsupervised exploration of flat-band materials using electronic band structure fingerprints
Artem Mishchenko, Henry Kelbrick Pentz, Thomas Warford, Ivan Timokhin, Hongpeng Zhou, Qian Yang, Anupam Bhattacharya
Oral
Distance weighted self-attention for nonlocal density functional approximation by artificial neural network
Kulaev Kirill Dmitrievich, Bogdan Protsenko, Alexander Ryabov, Alexander Guda, Evgeny Burnaev, Vladimir Vanovskiy
Oral
AI for Data Science: A Benchmark for Differentially Private Text Dataset Generators
Viktor Schlegel, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Anil Anthony Bharath
Poster
chemtrain: Learning deep potential models via automatic differentiation and statistical physics
Paul Fuchs, Stephan Thaler, Sebastien Röcken, Julija Zavadlav
Oral
Machine Learning-Powered Exploration of Catalytic Reaction Networks for CO₂ Conversion into Value-Added Chemicals
Mikhail V. Polynski, Sergey M. Kozlov
Oral
OAH-Net: a deep neural network for efficient and robust hologram reconstruction for off-axis digital holographic microscopy
Liu Wei, Kerem Delikoyun, Qianyu Chen, Alperen Yildiz, Si Ko Myo, Win Sen Kuan, John Tshon Yit Soong, Matthew Edward Cove, Oliver Hayden, Hwee Kuan Lee
Oral
Feasibility Study of Augmenting Teaching Assistants with AI for CS1 Programming Feedback
Umair Z. Ahmed, Shubham Sahai, Ben Leong, Amey Karkare
Poster