Cover Image

Crystal Nucleation in Eutectic Al-Si Alloys by Machine-Learned Molecular Dynamics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bizot, Quentin, Jakse, Noel
Format:	Preprint
Published:	2025
Subjects:	Materials Science 82B26 (primary), 82C22, 70-08, 74A50, 68T07 I.6.5; I.6.4; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling
by: Laudo, Joel, et al.
Published: (2026)

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy
by: Dang, Kieu, et al.
Published: (2025)

Formulation and Therapeutic Assessment of a Zinc Oxide, Silver, and Cerium Oxide Enriched Ointment for Accelerated Wound Healing in Aged Models
by: Yousaf, Iqra, et al.
Published: (2025)

NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)

Unsupervised Learning to Recognize Quantum Phases of Matter
by: Khosrojerdi, Mehran, et al.
Published: (2025)

Introducing COGENT3: An AI Architecture for Emergent Cognition
by: Salazar, Eduardo
Published: (2025)

Detecting Sleeper Agents in Large Language Models via Semantic Drift Analysis
by: Zanbaghi, Shahin, et al.
Published: (2025)

When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)

Rethinking the Multilingual Reasoning Gap with Layer Swap
by: Lasbordes, Maxence, et al.
Published: (2026)

Machine Collaboration
by: Liu, Qingfeng, et al.
Published: (2021)

Breaking to Build: A Threat Model of Prompt-Based Attacks for Securing LLMs
by: Hill, Brennen, et al.
Published: (2025)

WAKESET: A Large-Scale, High-Reynolds Number Flow Dataset for Machine Learning of Turbulent Wake Dynamics
by: Cooper-Baldock, Zachary, et al.
Published: (2026)

Intelligence Without Integrity: Why Capable LLMs May Undermine Reliability
by: Allen, Ryan, et al.
Published: (2026)

Multi-View Causal Discovery without Non-Gaussianity: Identifiability and Algorithms
by: Heurtebise, Ambroise, et al.
Published: (2025)

Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining
by: Mitchell, Rupert, et al.
Published: (2025)

Harnessing non-adversarial robustness in large language models
by: Zhou, Qinghua, et al.
Published: (2026)

Verification and Validation for Trustworthy Scientific Machine Learning
by: Jakeman, John D., et al.
Published: (2025)

Step-Aware Residual-Guided Diffusion for EEG Spatial Super-Resolution
by: Liu, Hongjun, et al.
Published: (2025)

Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
by: Bitzer, Matthias, et al.
Published: (2024)

BreakFun: Jailbreaking LLMs via Schema Exploitation
by: Oskooei, Amirkia Rafiei, et al.
Published: (2025)

Structured Radial Basis Function Network: Modelling Diversity for Multiple Hypotheses Prediction
by: Dominguez, Alejandro Rodriguez, et al.
Published: (2023)

NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)

How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
by: Borobia, Hector, et al.
Published: (2026)

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models
by: Keeman, Michael
Published: (2026)

The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
by: Henry, James
Published: (2026)

Product-of-Experts Training Reduces Dataset Artifacts in Natural Language Inference
by: Mathew, Aby Mammen
Published: (2026)

Developing Explainable Machine Learning Model using Augmented Concept Activation Vector
by: Hassanpour, Reza, et al.
Published: (2024)

Just In Time Transformers
by: Benali, Ahmed Ala Eddine, et al.
Published: (2024)

ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints
by: Liu, Yingtian, et al.
Published: (2025)

The Nash-MTL-STCN Method For Prestack Three-Parameter Inversion
by: Liu, Yingtian, et al.
Published: (2024)

Layer-Parallel Training for Transformers
by: Jiang, Shuai, et al.
Published: (2026)

Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
by: Sarkar, Nilesh, et al.
Published: (2026)

Spatio-temporal, multi-field deep learning of shock propagation in meso-structured media
by: Fernández-Godino, M. Giselle, et al.
Published: (2025)

Evaluation of Differential Privacy Mechanisms on Federated Learning
by: Varsani, Tejash
Published: (2025)

SAGE: Sign-Adaptive Gradient for Memory-Efficient LLM Optimization
by: Lee, Wooin, et al.
Published: (2026)

The Inhibitor: ReLU and Addition-Based Attention for Efficient Transformers under Fully Homomorphic Encryption on the Torus
by: Brännvall, Rickard, et al.
Published: (2023)

Deep Hedging Under Non-Convexity: Limitations and a Case for AlphaZero
by: Maggiolo, Matteo, et al.
Published: (2025)

Model Capability Dominates: Inference-Time Optimization Lessons from AIMO 3
by: Nitarach, Natapong
Published: (2026)

SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator
by: Zhou, Xueyang, et al.
Published: (2025)