{"total":14,"rows":[{"id":"2408.14307","title":"LLM-3D Print: Large Language Models To Monitor and Control 3D Printing","created":"2024-08-26","cited_by_count":18,"area":null},{"id":"2507.07887","title":"Automating MD simulations for Proteins using Large language Models: NAMD-Agent","created":"2025-07-10","cited_by_count":12,"area":null},{"id":"2501.17784","title":"AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing","created":"2025-01-29","cited_by_count":5,"area":null},{"id":"2502.12185","title":"Large Language Models for Extrapolative Modeling of Manufacturing Processes","created":"2025-02-15","cited_by_count":4,"area":null},{"id":"2502.14904","title":"Towards an automated workflow in materials science for combining multi-modal simulative and experimental information using data mining and large language models","created":"2025-02-18","cited_by_count":3,"area":null},{"id":"2505.13828","title":"Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models","created":"2025-05-20","cited_by_count":3,"area":null},{"id":"2601.16376","title":"Polymer-Agent: Large Language Model Agent for Polymer Design","created":"2026-01-23","cited_by_count":3,"area":null},{"id":"2506.00056","title":"Toward Knowledge-Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human-AI Synergy","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2604.07584","title":"From Papers to Property Tables: A Priority-Based LLM Workflow for Materials Data Extraction","created":"2026-04-08","cited_by_count":1,"area":null},{"id":"2501.03456","title":"Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap Prediction","created":"2025-01-07","cited_by_count":0,"area":null},{"id":"2511.05551","title":"In-Context-Learning-Assisted Quality Assessment Vision-Language Models for Metal Additive Manufacturing","created":"2025-11-02","cited_by_count":0,"area":null},{"id":"2604.09889","title":"In-situ process monitoring for defect detection in wire-arc additive manufacturing: an agentic AI approach","created":"2026-04-10","cited_by_count":0,"area":null},{"id":"2605.03328","title":"LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2609.19347","title":"Kinematics-Grounded Agentic AI for Robotic Additive Manufacturing Process Planning","created":"2026-09-16","cited_by_count":0,"area":null}],"next_cursor":null}