:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Chen, Niemann, Valerie A., Benedek, Peter, Jaramillo, Thomas F., Doucet, Mathieu
Format:	Preprint
Published:	2024
Subjects:	Computational Physics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2406.16741
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PRILoRA: Pruned and Rank-Increasing Low-Rank Adaptation
by: Benedek, Nadav, et al.
Published: (2024)

Physical models realizing the transformer architecture of large language models
by: Chen, Zeqian
Published: (2025)

Extracting Structured Requirements from Unstructured Building Technical Specifications for Building Information Modeling
by: Nahri, Insaf, et al.
Published: (2025)

Zero-shot data citation function classification using transformer-based large language models (LLMs)
by: Byers, Neil, et al.
Published: (2025)

Abusive text transformation using LLMs
by: Chandra, Rohitash, et al.
Published: (2025)

Bridging Diversity and Uncertainty in Active learning with Self-Supervised Pre-Training
by: Doucet, Paul, et al.
Published: (2024)

AI-ready design of realistic 2D materials and interfaces with Mat3ra-2D
by: Biryukov, Vsevolod, et al.
Published: (2026)

Extracting and Understanding the Superficial Knowledge in Alignment
by: Chen, Runjin, et al.
Published: (2025)

VibroML: an automated toolkit for high-throughput vibrational analysis and dynamic instability remediation of crystalline materials using machine-learned potentials
by: Gouvêa, Rogério Almeida, et al.
Published: (2026)

Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models
by: Ji, Chenyi, et al.
Published: (2026)

Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
by: Chattopadhyay, Ashesh, et al.
Published: (2021)

A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems
by: Yu, Xiangnan, et al.
Published: (2024)

Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding
by: Huang, Lei, et al.
Published: (2024)

Thermometry of simulated Bose--Einstein condensates using machine learning
by: Griffiths, Jack, et al.
Published: (2025)

MEIDNet: Multimodal generative AI framework for inverse materials design
by: Babu, Anand, et al.
Published: (2026)

Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs
by: Shiri, Fatemeh, et al.
Published: (2024)

InvDesFlow: An AI-driven materials inverse design workflow to explore possible high-temperature superconductors
by: Han, Xiao-Qi, et al.
Published: (2024)

Exploring utilization of generative AI for research and education in data-driven materials science
by: Misawa, Takahiro, et al.
Published: (2025)

Extracting OPQRST in Electronic Health Records using Large Language Models with Reasoning
by: Luo, Zhimeng, et al.
Published: (2025)

Solving the Discretised Neutron Diffusion Equations using Neural Networks
by: Phillips, T. R. F., et al.
Published: (2023)

EMVD dataset: a dataset of extreme vocal distortion techniques used in heavy metal
by: Tailleur, Modan, et al.
Published: (2024)

Point transformer for protein structural heterogeneity analysis using CryoEM
by: Chen, Muyuan, et al.
Published: (2026)

A general tensor-structured compression scheme for efficient large language models
by: Lu, Ying, et al.
Published: (2026)

Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation
by: Sgouritsa, Eleni, et al.
Published: (2024)

Neurons for Neutrons: A Transformer Model for Computation Load Estimation on Domain-Decomposed Neutron Transport Problems
by: Mote, Alexander, et al.
Published: (2024)

Physics-guided and fabrication-aware inverse design of photonic devices using diffusion models
by: Seo, Dongjin, et al.
Published: (2025)

Enhancing low energy reconstruction and classification in KM3NeT/ORCA with transformers
by: Mateo, Iván Mozún
Published: (2025)

MetaOpenFOAM 2.0: Large Language Model Driven Chain of Thought for Automating CFD Simulation and Post-Processing
by: Chen, Yuxuan, et al.
Published: (2025)

Abusive music and song transformation using GenAI and LLMs
by: Choi, Jiyang, et al.
Published: (2026)

Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be?
by: Urbán, Jorge F., et al.
Published: (2024)

Re4: Scientific Computing Agent with Rewriting, Resolution, Review and Revision
by: Cheng, Ao, et al.
Published: (2025)

The use of large language models to enhance cancer clinical trial educational materials
by: Gao, Mingye, et al.
Published: (2024)

Sharingan: Extract User Action Sequence from Desktop Recordings
by: Chen, Yanting, et al.
Published: (2024)

Graph-based data-driven discovery of interpretable laws governing corona-induced noise and radio interference for high-voltage transmission lines
by: Xu, Hao, et al.
Published: (2026)

Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy
by: Tang, Hao, et al.
Published: (2024)

LieSolver: A PDE-constrained solver for IBVPs using Lie symmetries
by: Klausen, René P., et al.
Published: (2025)

Identifying and Extracting Rare Disease Phenotypes with Large Language Models
by: Shyr, Cathy, et al.
Published: (2023)

Backtesting Sentiment Signals for Trading: Evaluating the Viability of Alpha Generation from Sentiment Analysis
by: Pontes, Elvys Linhares, et al.
Published: (2025)

El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation
by: Zhang, Zijian, et al.
Published: (2026)

Iterative Pretraining Framework for Interatomic Potentials
by: Cui, Taoyong, et al.
Published: (2025)