P. S. Pak

Domain Adapted Large Language Models for Additive Manufacturing

P. S. Pak, Amir Barati Farimani

This work presents a collection of multi-modal domain adapted large language models built upon the instruction tuned variants of open weight models (Gemma 3, Qwen 3, Gemma 4) using a relatively small dataset of around 50 million tokens. The dataset consists of …

Domain Adapted Large Language Models for Additive Manufacturing

P. S. Pak, Amir Barati Farimani

This work presents a collection of multi-modal domain adapted large language models built upon the instruction tuned variants of open weight models (Gemma 3, Qwen 3, Gemma 4) using a relatively small dataset of around 50 million tokens. The dataset consists of …

Image2Gcode: Image-to-G-code generation for additive manufacturing using diffusion-transformer model

Ziyue Wang, Yayati Jadhav, P. S. Pak, Amir Barati Farimani

Mechanical design and manufacturing workflows conventionally begin with conceptual design, followed by the creation of a detailed computer-aided design (CAD) model and fabrication through material-extrusion (MEX) printing. This process requires converting CAD geometry into machine-readable G-code through slicing and path planning. While …

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Agentic additive manufacturing alloy evaluation

P. S. Pak, Achuth Chandrasekhar, Amir Barati Farimani

Agentic systems enable the intelligent use of research tooling, augmenting a researcher’s ability to investigate and propose novel solutions to existing problems. Within Additive Manufacturing (AM), alloy selection and evaluation remains a complex challenge, often requiring expertise in the various domains of …

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LLM-3D print: Large Language Models to monitor and control 3D printing

Yayati Jadhav, P. S. Pak, Amir Barati Farimani

Industry 4.0 has revolutionized manufacturing by driving digitization and shifting the paradigm toward additive manufacturing (AM). Material extrusion (MEX), a core AM method, produces customized and cost-effective products with minimal waste, challenging traditional subtractive manufacturing. Despite its advantages, MEX remains susceptible to …

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AdditiveLLM: Large language models predict defects in metals additive manufacturing

P. S. Pak, Amir Barati Farimani

In this work we investigate the ability of large language models to predict additive manufacturing defect regimes given a set of process parameter inputs. For this task we utilize a process parameter defect dataset to fine-tune a collection of models, titled AdditiveLLM …

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AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing

P. S. Pak, Amir Barati Farimani

In this work we investigate the ability of large language models to predict additive manufacturing defect regimes given a set of process parameter inputs. For this task we utilize a process parameter defect dataset to fine-tune a collection of models, titled AdditiveLLM, …

Additivellm: Large Language Models Predict Defects in Metals Additive Manufacturing

P. S. Pak, Amir Barati Farimani

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Agentic Additive Manufacturing Alloy Discovery

P. S. Pak, Achuth Chandrasekhar, Amir Barati Farimani

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LLM-3D Print: Large Language Models To Monitor and Control 3D Printing

Amir Barati Farimani, Yayati Jadhav, P. S. Pak

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ThermoPore: Predicting part porosity based on thermal images using deep learning

P. S. Pak, Francis Ogoke, Andrew T. Polonsky, Anthony P. Garland et autres

LLM-3D Print: Large Language Models To Monitor and Control 3D Printing

Yayati Jadhav, P. S. Pak, Amir Barati Farimani

Industry 4.0 has revolutionized manufacturing by driving digitalization and shifting the paradigm toward additive manufacturing (AM). Fused Deposition Modeling (FDM), a key AM technology, enables the creation of highly customized, cost-effective products with minimal material waste through layer-by-layer extrusion, posing a significant …