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AI & Data Science Preprint PDF DOI

Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models

Matthias Hertel, Alexandra Nikoltchovska, Sebastian Putz, Ralf Mikut, Benjamin Schafer, Veit Hagenmeyer · 2026

Time Series Foundation Models (TSFMs) have recently emerged as general-purpose forecasting models and show considerable potential for applications in energy systems. However, applications in critical …

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Physics Preprint PDF DOI

Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Guided Augmentation

Radmir Karamov, Tagir Karamov · 2026

Shallow nanoindentation enables mechanical characterization of thin films, individual phases and other volume-constrained materials, but measured hardness is often inflated by the indentation size eff…

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Mathematics Preprint PDF DOI

$C^1$-Regularity of the Free Boundary for Hele-Shaw Flow with Source and Drift

Yuming Paul Zhang · 2026

This paper is a continuation of the work in \cite{kimzhang2024} concerning Hele-Shaw flow with both drift and source terms. We prove that, in a local neighborhood, if the free boundary is Lipschitz co…

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AI & Data Science Preprint PDF DOI

Binary Spiking Neural Networks as Causal Models

Aditya Kar (CNRS, IRIT), Emiliano Lorini (CNRS, IRIT), Timothee Masquelier (CNRS, CERCO UMR5549) · 2026

We provide a causal analysis of Binary Spiking Neural Networks (BSNNs) to explain their behavior. We formally define a BSNN and represent its spiking activity as a binary causal model. Thanks to this …

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AI & Data Science Preprint PDF DOI

A Data-Centric Framework for Intraoperative Fluorescence Lifetime Imaging for Glioma Surgical Guidance

Silvia Noble Anbunesan, Mohamed Abul Hassan, Jinyi Qi, Lisanne Kraft, Han Sung Lee, Orin Bloch, Laura Marcu · 2026

Accurate intraoperative assessment of glioma infiltration is essential for maximizing tumor resection while preserving functional brain tissue. Fluorescence lifetime imaging (FLIm) offers real-time, l…

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AI & Data Science Preprint PDF DOI

Evaluating the Alignment Between GeoAI Explanations and Domain Knowledge in Satellite-Based Flood Mapping

Hyunho Lee, Wenwen Li · 2026

The increasing number of satellites has improved the temporal resolution of Earth observation, making satellite-based flood mapping a promising approach for operational flood monitoring. Deep learning…

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Physics Preprint PDF DOI

Accelerating finite-element-based projector augmented-wave density functional theory calculations with scalable GPU-centric computational methods

Kartick Ramakrishnan, Phani Motamarri · 2026

Accurate large-scale Kohn-Sham density functional theory (DFT) calculations are essential for modeling complex material systems, including interfaces, defects, nanoclusters, and twisted two-dimensiona…

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Physics Preprint PDF DOI

Kohn-Sham Hamiltonian from Effective Field Theory: Quasiparticle Band Narrowing from Frozen Core Dynamics

Xiansheng Cai, Han Wang, Kun Chen · 2026

Kohn-Sham (KS) eigenvalues are routinely compared with angle-resolved photoemission (ARPES) and used as input for many-body methods, yet density functional theory (DFT) assigns them no physical meanin…

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Physics Preprint PDF DOI

Identifying strong correlation using only the Kohn-Sham density of one-electron states

Daniel D. Rivera, Gustavo M. Dalpian, John P. Perdew · 2026

Strongly correlated systems have long been a central and highly non-trivial topic in condensed matter physics. At the non-interacting level, strong correlation can be associated with powerful (near) d…

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AI & Data Science Preprint PDF DOI

Agentic AI platforms for autonomous training and rule induction of human-human and virus-human protein-protein interactions

Hung N. Do, Jessica Z. Kubicek-Sutherland, Oscar A. Negrete, S. Gnanakaran · 2026

We instruct an AI agent to construct two separate agentic AI platforms: one for autonomous training of predictive ML models for human-human and virus-human PPI, and the other for inducing explicit gen…

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Physics Preprint PDF DOI

Modeling the Zero-Phonon Line of Strained SnV Centers in Diamond; Including Reflections on Computational Cost and Accuracy

Danny E. P. Vanpoucke · 2026

Among the group-IV vacancy color centers in diamond, the SnV holds promise for photonics based quantum applications. In this work, the Tin-Vacancy (SnV) zero-phonon line (ZPL) and its pressure coeffic…

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AI & Data Science Preprint PDF DOI

Interpretable Physics-Informed Load Forecasting for U.S. Grid Resilience: SHAP-Guided Ensemble Validation in Hybrid Deep Learning Under Extreme Weather

Md Abubakkar, Sajib Debnath, Md. Uzzal Mia · 2026

Accurate short-term electricity load forecasting is a cornerstone of U.S. grid reliability; however, prevailing deep learning models remain opaque, limiting operator trust during extreme weather. A un…

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AI & Data Science Preprint PDF DOI

Knee-xRAI: An Explainable AI Framework for Automatic Kellgren-Lawrence Grading of Knee Osteoarthritis

Azmul A. Irfan, Nur Ahmad Khatim, Alfan Alfian Irfan, Achmad Zaki, Erike A. Suwarsono, Mansur M. Arief · 2026

Radiographic grading of knee osteoarthritis (KOA) with the Kellgren-Lawrence (KL) system is limited by inter-reader variability and the opacity of current deep learning approaches, which predict KL gr…

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Physics Preprint PDF DOI

From Data-Driven Models to Physical Insight: Vibrational Entropy Governed by Atomic Volume

Shivam Tripathi, Jatin Kawatra, Varun Malviya, Krishna Mehta · 2026

Vibrational entropy plays a central role in determining phase stability and temperature dependent behavior in materials, yet its calculation from first-principles phonon methods remains computationall…

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Mathematics Preprint PDF DOI

Chains of model structures arising from cotorsion pairs on extriangulated categories

Dandan Sun, Xiaoyan Yang, Dongdong Zhang, Panyue Zhou, Haiyan Zhu · 2026

The main aim of this paper is to study chains of model structures arising from cotorsion pairs in extriangulated categories. Starting with a hereditary Hovey triple, we construct further hereditary Ho…

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AI & Data Science Preprint PDF DOI

A Topology fixated Shape Gradient Framework for Non Simple Boundary Extraction for CIE Lab color images with Repulsive Energy

Shafeequdheen Palengara, Jyotiranjan Nayak, Vijayakrishna Rowthu · 2026

A levelset free but a hybrid image segmentation approach based on a modified version of the piece wise constant shape gradient of an Mumford Shah shape functional and a repulsive function is considere…

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AI & Data Science Preprint PDF DOI

An Integrated Framework for Explainable, Fair, and Observable Hospital Readmission Prediction: Development and Validation on MIMIC-IV

Isaac Tosin Adisa · 2026

Objective: To propose and retrospectively validate an integrated framework addressing three barriers to clinical translation of readmission prediction: lack of explainability, absence of deployment re…

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Physics Preprint PDF DOI

Classifying magnons in itinerant ferromagnets from linear response TDDFT: Fe, Ni and Co revisited

Thorbj{o}rn Skovhus, Thomas Olsen · 2026

The magnetic excitation spectrum of itinerant magnets exhibits rich and complex spectral features that often complicate interpretation of the underlying physics. For perturbations in the long waveleng…

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AI & Data Science Preprint PDF DOI

Beyond Land Surface Temperature: Explainable Spatial Machine Learning Reveals Urban Morphology Effects on Human-Centric Heat Stress

Yuan Wang, Shengao Yi, Xiaojiang Li, Pengyuan Liu, Zhiwei Yang, Ronita Bardhan, Rudi Stouffs · 2026

Heat exposure connects the built environment and public health, directly shaping the livability and sustainability of urban areas. Understanding the spatial heterogeneity of heat exposure and its driv…

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Biology & Life Sciences Preprint PDF DOI

AI-Derived Reproductive Phenotypes and Explainable ML for Concurrent Early Multimorbidity in U.S. Women: NHANES 2017-March 2020

Sunday A. Adetunji · 2026

Background:Adverse reproductive history is a multisystemic risk factor, but evidence is constrained by isolated outcome studies, limited adjustment, and non-interpretable algorithmic models. We re-fra…

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