Adrian Ratwatte, Samitha Somathilaka, Thanh Cao, Xu Li, Sasitharan Balasubramaniam: Bacterial Gene Regulatory Neural Network as a Biocomputing Library of Mathematical Solvers https://arxiv.org/abs/2509.21598 https://arxiv.org/pdf/2509.21598 https://arxiv.org/html/2509.21598

Jaber, Zhu, Jayavelu, Downes, Mohamed, Agonafir, Hawkins, Zheng: AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need https://arxiv.org/abs/2509.21553 https://arxiv.org/pdf/2509.21553 https://arxiv.org/html/2509.21553

Sen Yang, Burak \"Oz, Fei Wu, Fan Zhang: Designing Ethereum's Geographical (De)Centralization Beyond the Atlantic https://arxiv.org/abs/2509.21475 https://arxiv.org/pdf/2509.21475 https://arxiv.org/html/2509.21475

Arthur Charpentier, Philipp Ratz: Linear Risk Sharing on Networks https://arxiv.org/abs/2509.21411 https://arxiv.org/pdf/2509.21411 https://arxiv.org/html/2509.21411

Gaole Dai, Chenghao Zhou, Yu Zhou, Rongyu Zhang, Yuan Zhang, Chengkai Hou, Tiejun Huang, Jianxu Chen, Shanghang Zhang: Orochi: Versatile Biomedical Image Processor https://arxiv.org/abs/2509.22583 https://arxiv.org/pdf/2509.22583 https://arxiv.org/html/2509.22583

Chenbo Shi, Shichen Liang, Xin Gu, Jin Pan, Le Zuo: Hybrid Method of Moments and Generalized Scattering Matrix: Applications to Antennas in Radomes, Reflectors, and Implantable Media https://arxiv.org/abs/2509.22000 https://arxiv.org/pdf/2509.22000 https://arxiv.org/html/2509.22000

Bianca Datta, et al.: AI for Sustainable Future Foods https://arxiv.org/abs/2509.21556 https://arxiv.org/pdf/2509.21556 https://arxiv.org/html/2509.21556

Wang, Wen, Li, Qu, Mu, Shen, Gao, Chang, Xie, Cheung, Hu, Wang, Bi, Du: QuantMind: A Context-Engineering Based Knowledge Framework for Quantitative Finance https://arxiv.org/abs/2509.21507 https://arxiv.org/pdf/2509.21507 https://arxiv.org/html/2509.21507

Weimin Wu, Alexander C. Furnas, Eddie Yang, Gefei Liu, Akhil Pandey Akella, Xuefeng Song, Dashun Wang, Han Liu: Sci2Pol: Evaluating and Fine-tuning LLMs on Scientific-to-Policy Brief Generation https://arxiv.org/abs/2509.21493 https://arxiv.org/pdf/2509.21493 https://arxiv.org/html/2509.21493

[2025-09-29 Mon (UTC), 5 new articles found for csCE Computational Engineering, Finance, and Science]

Godoy, Melnichenko, Valero-Lara, Elwasif, Fackler, Da Silva, Teranishi, Vetter: Mojo: MLIR-Based Performance-Portable HPC Science Kernels on GPUs for the Python Ecosystem https://arxiv.org/abs/2509.21039 https://arxiv.org/pdf/2509.21039 https://arxiv.org/html/2509.21039

Engan, Kanwal, Yeconia, Blacy, Munyaw, Mduma, Ersdal: FHRFormer: A Self-supervised Transformer Approach for Fetal Heart Rate Inpainting and Forecasting https://arxiv.org/abs/2509.20852 https://arxiv.org/pdf/2509.20852 https://arxiv.org/html/2509.20852

Yiling Yun, Hongjing Lu: Human Semantic Representations of Social Interactions from Moving Shapes https://arxiv.org/abs/2509.20673 https://arxiv.org/pdf/2509.20673 https://arxiv.org/html/2509.20673

Tabassum, Subasi, Panyala, Ebiapia, Baumgartner, Mutlu, , , Kowalski: Guiding Application Users via Estimation of Computational Resources for Massively Parallel Chemistry Computations https://arxiv.org/abs/2509.20667 https://arxiv.org/pdf/2509.20667 https://arxiv.org/html/2509.20667

Yuan Chiang, et al.: MLIP Arena: Advancing Fairness and Transparency in Machine Learning Interatomic Potentials via an Open, Accessible Benchmark Platform https://arxiv.org/abs/2509.20630 https://arxiv.org/pdf/2509.20630 https://arxiv.org/html/2509.20630

Mingze Yuan, Pengfei Jin, Na Li, Quanzheng Li: PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models https://arxiv.org/abs/2509.20570 https://arxiv.org/pdf/2509.20570 https://arxiv.org/html/2509.20570

Yu Zhang, Claudio J. Tessone: Extensions of a Line-Graph-Based Method for Token Routing in Decentralized Exchanges https://arxiv.org/abs/2509.21152 https://arxiv.org/pdf/2509.21152 https://arxiv.org/html/2509.21152

Zinan Zheng, Yang Liu, Jia Li: Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting https://arxiv.org/abs/2509.20911 https://arxiv.org/pdf/2509.20911 https://arxiv.org/html/2509.20911

Bonneville, Bieberdorf, Robbe, Asta, Najm, Capolungo, Safta: Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures https://arxiv.org/abs/2509.20770 https://arxiv.org/pdf/2509.20770 https://arxiv.org/html/2509.20770

Hong Su: Difference-Guided Reasoning: A Temporal-Spatial Framework for Large Language Models https://arxiv.org/abs/2509.20713 https://arxiv.org/pdf/2509.20713 https://arxiv.org/html/2509.20713

Rujie Yin, Yang Shen: A Hierarchical Adaptive Diffusion Model for Flexible Protein-Protein Docking https://arxiv.org/abs/2509.20542 https://arxiv.org/pdf/2509.20542 https://arxiv.org/html/2509.20542

[2025-09-26 Fri (UTC), 5 new articles found for csCE Computational Engineering, Finance, and Science]

Stefano Ciapponi, Leonardo Mannini, Jarek Scanferla, Matteo Anderle, Elisabetta Farella: Enabling Multi-Species Bird Classification on Low-Power Bioacoustic Loggers https://arxiv.org/abs/2509.20103 https://arxiv.org/pdf/2509.20103 https://arxiv.org/html/2509.20103

Tomas Halada, Serhii Yaskovets, Abhinav Singh, Ludek Benes, Pratik Suchde, Ivo F. Sbalzarini: An Overview of Meshfree Collocation Methods https://arxiv.org/abs/2509.20056 https://arxiv.org/pdf/2509.20056 https://arxiv.org/html/2509.20056

Heine Havneraas R{\o}stum, Joseph Morlier, Sebastien Gros, Ketil Aas-Jakobsen: Efficient Multi-Objective Constrained Bayesian Optimization of Bridge Girder https://arxiv.org/abs/2509.20161 https://arxiv.org/pdf/2509.20161 https://arxiv.org/html/2509.20161

Harpreet Singh: Characterizing failure morphologies in fiber-reinforced composites via k-means clustering based multiscale framework https://arxiv.org/abs/2509.20011 https://arxiv.org/pdf/2509.20011 https://arxiv.org/html/2509.20011

Ross Koval, Nicholas Andrews, Xifeng Yan: Multimodal Language Models with Modality-Specific Experts for Financial Forecasting from Interleaved Sequences of Text and Time Series https://arxiv.org/abs/2509.19628 https://arxiv.org/pdf/2509.19628 https://arxiv.org/html/2509.19628

Yang, Peracchio, Mayourian, Triedman, Miller, La Cava: Robust AI-ECG for Predicting Left Ventricular Systolic Dysfunction in Pediatric Congenital Heart Disease https://arxiv.org/abs/2509.19564 https://arxiv.org/pdf/2509.19564 https://arxiv.org/html/2509.19564

[2025-09-25 Thu (UTC), 4 new articles found for csCE Computational Engineering, Finance, and Science]

Shubham Rai, Badri Prasad Patel: A failure mode dependent continuum damage model for laminated composites with optimized model parameters : Application to curved beams https://arxiv.org/abs/2509.19051 https://arxiv.org/pdf/2509.19051 https://arxiv.org/html/2509.19051

W\k{a}torek, Bezbradica, Crane, Kwapie\'n, Dro\.zd\.z: Filtering amplitude dependence of correlation dynamics in complex systems: application to the cryptocurrency market https://arxiv.org/abs/2509.18820 https://arxiv.org/pdf/2509.18820 https://arxiv.org/html/2509.18820

Ling Yue, Nithin Somasekharan, Tingwen Zhang, Yadi Cao, Shaowu Pan: Foam-Agent: An End-to-End Composable Multi-Agent Framework for Automating CFD Simulation in OpenFOAM https://arxiv.org/abs/2509.18178 https://arxiv.org/pdf/2509.18178 https://arxiv.org/html/2509.18178

Hengbo Xiao, Jingyuan Fan, Xin Tong, Jingzhao Zhang, Chao Lu, Guannan He: PiMoE: Token-Level Routing for Integrating High-Precision Computation and Reasoning https://arxiv.org/abs/2509.18169 https://arxiv.org/pdf/2509.18169 https://arxiv.org/html/2509.18169

Thanh Linh Nguyen, Quoc-Viet Pham: A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning https://arxiv.org/abs/2509.18120 https://arxiv.org/pdf/2509.18120 https://arxiv.org/html/2509.18120

Benedikt Kantz, Peter Waldert, Stefan Lengauer, Tobias Schreck: AlloyInter: Visualising Alloy Mixture Interpolations in t-SNE Representations https://arxiv.org/abs/2509.19202 https://arxiv.org/pdf/2509.19202 https://arxiv.org/html/2509.19202

Oskar Lappi, Emil L{\o}vbak, Thijs Steel, Giovanni Samaey: 2D implementation of Kinetic-diffusion Monte Carlo in Eiron https://arxiv.org/abs/2509.19140 https://arxiv.org/pdf/2509.19140 https://arxiv.org/html/2509.19140

[2025-09-24 Wed (UTC), 2 new articles found for csCE Computational Engineering, Finance, and Science]

Rodr\'iguez-Bocca, Pereira, Kiedanski, Collazo, Basterrech, Rubino: An AutoML Framework using AutoGluonTS for Forecasting Seasonal Extreme Temperatures https://arxiv.org/abs/2509.17734 https://arxiv.org/pdf/2509.17734 https://arxiv.org/html/2509.17734

Jiawen Wei, Elena Verona, Andrea Bertolini, Gianmarco Mengaldo: Explainability matters: The effect of liability rules on the healthcare sector https://arxiv.org/abs/2509.17334 https://arxiv.org/pdf/2509.17334 https://arxiv.org/html/2509.17334

Jin Lee, Ziming Liu, Xinling Yu, Yixuan Wang, Haewon Jeong, Murphy Yuezhen Niu, Zheng Zhang: KANO: Kolmogorov-Arnold Neural Operator https://arxiv.org/abs/2509.16825 https://arxiv.org/pdf/2509.16825 https://arxiv.org/html/2509.16825

Mohsen Ahmadvand, Pedro Souto: Towards Cost-Effective ZK-Rollups: Modeling and Optimization of Proving Infrastructure https://arxiv.org/abs/2509.16581 https://arxiv.org/pdf/2509.16581 https://arxiv.org/html/2509.16581

Lovely Yeswanth Panchumarthi, Saurabh Kataria, Yi Wu, Xiao Hu, Alex Fedorov, Hyunjung Gloria Kwak: FairTune: A Bias-Aware Fine-Tuning Framework Towards Fair Heart Rate Prediction from PPG https://arxiv.org/abs/2509.16491 https://arxiv.org/pdf/2509.16491 https://arxiv.org/html/2509.16491

Srinivasan, George, Joe, Kant, R, Sundar, Suresh, Vimalkanth, : Enhancing Financial RAG with Agentic AI and Multi-HyDE: A Novel Approach to Knowledge Retrieval and Hallucination Reduction https://arxiv.org/abs/2509.16369 https://arxiv.org/pdf/2509.16369 https://arxiv.org/html/2509.16369

Zixiang Yin, Jiarui Li, Zhengming Ding: $i$MIND: Insightful Multi-subject Invariant Neural Decoding https://arxiv.org/abs/2509.17313 https://arxiv.org/pdf/2509.17313 https://arxiv.org/html/2509.17313

Jiarui Li, Zixiang Yin, Zhengming Ding, Samuel J. Landry, Ramgopal R. Mettu: Rational Multi-Modal Transformers for TCR-pMHC Prediction https://arxiv.org/abs/2509.17305 https://arxiv.org/pdf/2509.17305 https://arxiv.org/html/2509.17305

Weixian Waylon Li, Tiejun Ma: Learn to Rank Risky Investors: A Case Study of Predicting Retail Traders' Behaviour and Profitability https://arxiv.org/abs/2509.16616 https://arxiv.org/pdf/2509.16616 https://arxiv.org/html/2509.16616

Alex Keilmann, Claudia Redenbach, Francois Willot: Increasing Inter-Fiber Contact in the Altendorf-Jeulin Model https://arxiv.org/abs/2509.16225 https://arxiv.org/pdf/2509.16225 https://arxiv.org/html/2509.16225

C. Coelho, D. Fern\'andez, M. Hohmann, L. Penter, S. Ihlenfeldt, O. Niggemann: An Open Dataset for Temperature Modelling in Machine Tools https://arxiv.org/abs/2509.16222 https://arxiv.org/pdf/2509.16222 https://arxiv.org/html/2509.16222

Zijian Zhang, Yuanmiao Lin, Xuesong Chen, Shuting Cai: An Efficient Transient Nonlinear Circuit Simulator Using Exponential Integration and Block-Jacobi Precondition https://arxiv.org/abs/2509.16219 https://arxiv.org/pdf/2509.16219 https://arxiv.org/html/2509.16219

Bryl Nico M. Ong, Aarush Borker, Neil Jerome A. Egarguin, Daniel Onofrei: On the Detection of Internal Defects in Structured Media https://arxiv.org/abs/2509.16216 https://arxiv.org/pdf/2509.16216 https://arxiv.org/html/2509.16216