230 citations · 362 across the 11 of their papers we have counts for
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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 (…
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification
Anthony Zhou, Amir Barati Farimani
The growth of global consumption has motivated important applications of deep learning to smart manufacturing and machine health monitoring. In particular, analyzing vibration data…
GPCR-BERT: Interpreting Sequential Design of G Protein Coupled Receptors Using Protein Language Models
Seongwon Kim, Parisa Mollaei, Akshay Antony +2
With the rise of Transformers and Large Language Models (LLMs) in Chemistry and Biology, new avenues for the design and understanding of therapeutics have opened up to the scientif…
Physics Informed Token Transformer for Solving Partial Differential Equations
Cooper Lorsung, Zijie Li, Amir Barati Farimani
Solving Partial Differential Equations (PDEs) is the core of many fields of science and engineering. While classical approaches are often prohibitively slow, machine learning model…
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction
Rishikesh Magar, Yuyang Wang, Amir Barati Farimani
Machine learning (ML) models have been widely successful in the prediction of material properties. However, large labeled datasets required for training accurate ML models are elus…
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…
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination
Yuyang Wang, Zhonglin Cao, Amir Barati Farimani
Two-dimensional nanomaterials, such as graphene, have been extensively studied because of their outstanding physical properties. Structure and geometry optimization of nanopores on…