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Hi there 👋

status Python az-ihsan

Ahmad here. I am a last year PhD student at the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9), Forschungszentrum Jülich. This repository stores my daily works, interesting works, and things that I want to learn.

Currently, I am writing my dissertation related to Ontology in the domain of materials science. Apart from that, I also includes the large language models (LLMs) part where I do a text mining with LLMs and try to generate the knowledge graph given a materials science text/documents.

Here are some ideas to get you started:

  • 🔭 I’m currently working on the ontology development especially in materials science and engineering domain, e.g., DISOS and PRIMA
  • 🌱 I’m currently working on Natural Language Processing (NLP) on processing the materials science related publications and text by leveraging several large language models (LLMs).
  • 👯 I’m looking to collaborate on the ontology development, materials science related ontology development, PRIMA use cases and utilizing LLMs for materials science texts.
  • 💬 Ask me about ontology, dislocation in crystalline materials, semantic web technologies, NLP, and LLMs.
  • 📫 How to reach me: [email protected]
  • ⚡ Fun fact: I play guitar 🎸 and go cycling/bike trip 🚴‍♂️ a lot

Ahmad Zainul Ihsan's Projects

article-downloader icon article-downloader

Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.

awesome-fair-data icon awesome-fair-data

A curated list of awesome stuff around the FAIR principles for (scientific) data, i.e that data is findable, accessable, interoperable and re-usable.

blueprints-text icon blueprints-text

Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"

dislocation-ontology-suite icon dislocation-ontology-suite

This repository is a home to the Dislocation Ontology Suite (DISOS), an ontology suite comprising several modules describing materials scientific concepts, representations of dislocations, and different simulation models in the dislocation domain.

komodo icon komodo

Komodo(Kontinuum Dislocation on Moose Framework)

mat2vec icon mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

matbert icon matbert

A pretrained BERT model on materials science literature

matbert_ner icon matbert_ner

General training framework for NER models on MatBERT

mdmc-nep-top-level-ontology icon mdmc-nep-top-level-ontology

This repository collects the ongoing work towards the development of the ontology on common terms defined for the MDMC Joint Lab and NEP.

nlpia icon nlpia

Examples and libraries for "Natural Language Processing in Action" book

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