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Hi! I'm Zuhal Cakir!

Ph. D. Student

Twitter Follow Linkedin: zcakir GitHub followers website

Areas of Expertise
  • Data Science
  • Machine Learning
  • Cheminformatics
  • Computational Heterogeneous catalysis

Chemical Engineering Ph.D. candidate passionate about material & molecule discovery for catalysis and interfacial science by developing detailed molecular-level modeling and understanding. My professional goal is to leverage my expertise in chemical engineering, enable reliable design decisions, and facilitate transferrable applications through interdisciplinary collaborations.

Zuhal Cakir's Projects

amptorch icon amptorch

AMPtorch: Atomistic Machine Learning Package (AMP) - PyTorch

atomscience-org-ampl icon atomscience-org-ampl

The ATOM Modeling PipeLine (AMPL) is an open-source, modular, extensible software pipeline for building and sharing models to advance in silico drug discovery.

cdvae icon cdvae

An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

cgcnn icon cgcnn

Crystal graph convolutional neural networks for predicting material properties.

dask icon dask

Parallel computing with task scheduling

deneme icon deneme

Understanding upload a file from a local computer

depthestimation icon depthestimation

Single camera based unsupervised and self supervised depth estimation.

edbo icon edbo

Experimental Design via Bayesian Optimization

fastai icon fastai

The fastai deep learning library

hea icon hea

This project creates surface structures for a High Entropy Alloy(HEA) catalyst

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