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Stress-Testing Multimodal Foundation Models for Crystallographic Reasoning

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Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models

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xChemAgents: Agentic AI for Explainable Quantum Chemistry

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Data-Efficient Hydrogen Adsorption Prediction in Copper Nanoclusters: A Computer Vision-Based Transfer Learning Approach

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De Bruijn Graph-Enhanced Time Series Models for Electricity Load Forecasting

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Instance-Based Learning-Driven Density of States Analysis in Functionalized Fullerene Derivatives for Optimizing Organic Photovoltaics

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Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding

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Decentralized N-1 Contingency Analysis for Cascading Failure Prediction in Multi-Region Power Systems using Consortium Blockchain

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Predicting Optical Bandgaps in C60 and Functionalized Derivatives from Limited Data for Renewable Energy Applications

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TDCM25--A Multi-Modal Multi-Task Benchmark for Temperature-Dependent Crystalline Materials

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