16 citations · 44 across the 7 of their papers we have counts for
7 papers
LinkD: AutoRegressive Diffusion Model for Mechanical Linkage Synthesis
Yayati Jadhav, Amir Barati Farimani
Designing mechanical linkages to achieve target end-effector trajectories presents a fundamental challenge due to the intricate coupling between continuous node placements, discret…
Image2Gcode: Image-to-G-code Generation for Additive Manufacturing Using Diffusion-Transformer Model
Ziyue Wang, Yayati Jadhav, Peter Pak +1
Mechanical design and manufacturing workflows conventionally begin with conceptual design, followed by the creation of a computer-aided design (CAD) model and fabrication through m…
Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model Agent
Janghoon Ock, Radheesh Sharma Meda, Tirtha Vinchurkar +2
Adsorption energy is a key reactivity descriptor in catalysis. Determining adsorption energy requires evaluating numerous adsorbate-catalyst configurations, making it computational…
LLM-3D Print: Large Language Models To Monitor and Control 3D Printing
Yayati Jadhav, Peter 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 tech…
Large Language Model Agent as a Mechanical Designer
Yayati Jadhav, Amir Barati Farimani
Conventional mechanical design follows an iterative process in which initial concepts are refined through cycles of expert assessment and resource-intensive Finite Element Method (…
GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction
Suryanarayanan Balaji, Rishikesh Magar, Yayati Jadhav +1
With the emergence of Transformer architectures and their powerful understanding of textual data, a new horizon has opened up to predict the molecular properties based on text desc…
Dominant motion identification of multi-particle system using deep learning from video
Yayati Jadhav, Amir Barati Farimani
Identifying underlying governing equations and physical relevant information from high-dimensional observable data has always been a challenge in physical sciences. With the recent…