Code and Data: Design and Realization of High Performance Textured Lead-Free Piezoelectric Ceramics through Human-AI Collaboration

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Authors: Aman Nanda, Debjyoti Bhattacharya, Nayeon Kang, Shankar Kunwar, Shashank Priya, Jungho Ryu, Wesley Reinhart, Michael T. Lanagan, Bed Poudel
Cited by: 0

Abstract

Code and data for the paper "Design and Realization of High Performance Textured Lead-Free Piezoelectric Ceramics through Human-AI Collaboration". This repository contains: LLM-based composition generation scripts using Claude 3.5 Sonnet for designing new KNN-based lead-free piezoelectric ceramics Post-hoc statistical analysis code (Leave-One-Out, Conditional Prediction, Incremental Learning) using DeepSeek-V3 via Together AI Prediction benchmarks across multiple LLMs (Claude, GPT, Gemini, DeepSeek) All pre-generated data and visualization scripts for reproducing figures in the paper and supplementary information A Google Colab notebook for one-click reproduction of all plots (no API keys required)

Fields of Study & Subjects

Machine Learning in Materials Science Ferroelectric and Piezoelectric Materials Microwave Dielectric Ceramics Synthesis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026
Language
EN