Results 11 to 20 of about 258 (94)
PARCE: Accurate Inference of Crystal Structure Information From Phonon Vibrational Modes
Materials Genome Engineering Advances, EarlyView.In this work, we introduce a multidescriptor framework and accuracy‐adaptive ensemble network to classify over 30,000 crystals from phonon and Raman data, achieving > 60% accuracy across diverse structures. Our work reduces reliance on ideal XRD data, enabling automated and large‐scale material structure analysis.
Hongyu Chen +10 more
wiley +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
Systems Engineering, EarlyView.ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
Machine Learning‐Assisted Development in Insulating Materials for High Voltage Applications
High Voltage, EarlyView.ABSTRACT The advancement of power systems imposes increasingly stringent performance requirements on insulating materials, making the development of high‐performance insulating materials a critical challenge in the field of electrical engineering. Traditional material development relies heavily on empirical trial‐and‐error approaches, which are time ...
Yichen Ran +17 more
wiley +1 more source
From Regression to Reasoning: Predicting M&A Announcement Returns With Large Language Models
European Financial Management, EarlyView.ABSTRACT This study investigates whether large language models (LLMs) can predict short‐term market reactions to M&A announcements. We prompt OpenAI's latest reasoning models (o3, GPT‐5, and GPT‐5.1) to forecast whether the combined market value of acquirer and target will increase or decrease, drawing on deal‐, firm‐, and macroeconomic data for large ...
Maximilian Schreiter +2 more
wiley +1 more source
Does the Phillips Curve Lie Down as We Age?
Journal of Money, Credit and Banking, EarlyView.Abstract Using microlevel data, we present evidence that older individuals are less willing to substitute across varieties of goods. We estimate the elasticity of substitution for different age groups and find that the youngest cohort (aged 25–34) exhibits a higher elasticity of substitution compared to the oldest group (65+).
CHADWICK CURTIS +2 more
wiley +1 more source
Global Graph Surrogates and Neural Graph Elements for Computational Mechanics
Proceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.ABSTRACT Machine learning surrogates are increasingly used to accelerate physics‐based simulations by predicting full‐field responses at a fraction of the computational cost. In this contribution, we present two complementary graph‐based approaches for surrogate modelling in computational mechanics.
Rutwik Gulakala, Marcus Stoffel
wiley +1 more source
Applied AI Letters, Volume 7, Issue 3, October 2026.The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei +1 more
wiley +1 more source
Deep Learning‐Based Quantification of Spontaneous Pain Behaviours in Mice
European Journal of Pain, Volume 30, Issue 9, October 2026.ABSTRACT Background Accurate evaluation of pain‐related behaviours in rodent models is crucial for elucidating pain mechanisms and assessing the efficacy of novel analgesic compounds. Traditional nociceptive assays primarily measure evoked responses, which have limited translational relevance since spontaneous pain is the predominant symptom in pain ...
Michele Zanoletti +9 more
wiley +1 more source
Journal of Computer Assisted Learning, Volume 42, Issue 5, October 2026.ABSTRACT Background Writing from multiple sources is a cognitively demanding task that requires students to integrate reading, planning, and composition processes. While prior research has demonstrated the importance of self‐regulated learning (SRL) and linguistic features in predicting writing performance, most studies have focused on university ...
Halima Alnashiri +10 more
wiley +1 more source
Otolaryngology–Head and Neck Surgery, Volume 175, Issue 4, Page 890-897, October 2026.Abstract Objective To assess the impact of surgical margin status and re‐resection on local recurrence (LR) in early‐stage oral cavity squamous cell carcinoma (OCSCC). Study Design Retrospective analysis of 352 patients with cT1‐2N0 OCSCC. Setting Tertiary care center from 2005 to 2024.
Hannah J. Brown +5 more
wiley +1 more source