Amir Barati Farimani

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 119

Top Venues

CoRR

Mach. Learn. Sci. Technol.

J. Chem. Inf. Model.

ICLR

Publications

Yayati Jadhav, Amir Barati Farimani
Large Language Model Agent as a Mechanical Designer. CoRR (2024)
Olabode Ajenifujah, Francis Ogoke, Florian Wirth, Jack L. Beuth, Amir Barati Farimani
Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion. CoRR (2024)
Hongshuo Huang, Rishikesh Magar, Amir Barati Farimani
Pretraining Strategies for Structure Agnostic Material Property Prediction. J. Chem. Inf. Model. 64 (3) (2024)
Francis Ogoke, Peter Myung-Won Pak, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen, Amir Barati Farimani
Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformers. CoRR (2024)
Dule Shu, Wilson Zhen, Zijie Li, Amir Barati Farimani
Inpainting Computational Fluid Dynamics with Deep Learning. CoRR (2024)
Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. CoRR (2024)
Seongwon Kim, Parisa Mollaei, Akshay Antony, Rishikesh Magar, Amir Barati Farimani
GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models. J. Chem. Inf. Model. 64 (4) (2024)
Abraham George, Yibo Chen, Atharva Dikshit, Peter Myung-Won Pak, Amir Barati Farimani
BeadSight: An Inexpensive Tactile Sensor Using Hydro-Gel Beads. CoRR (2024)
Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, Amir Barati Farimani
Strategies for Pretraining Neural Operators. CoRR (2024)
Abraham George, Selam Gano, Pranav Katragadda, Amir Barati Farimani
Visuo-Tactile Pretraining for Cable Plugging. CoRR (2024)
Peter Myung-Won Pak, Francis Ogoke, Andrew Polonsky, Anthony Garland, Dan S. Bolintineanu, Dan R. Moser, Michael J. Heiden, Amir Barati Farimani
ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning. CoRR (2024)
Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke, Olabode Ajenifujah, Amir Barati Farimani
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing. CoRR (2024)
Anthony Y. Zhou, Amir Barati Farimani
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification. IEEE Access 12 (2024)
Srivathsan Badrinarayanan, Chakradhar Guntuboina, Parisa Mollaei, Amir Barati Farimani
Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties. CoRR (2024)
Tirtha Vinchurkar, Janghoon Ock, Amir Barati Farimani
Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis. CoRR (2024)
Zijie Li, Anthony Y. Zhou, Saurabh Patil, Amir Barati Farimani
CaFA: Global Weather Forecasting with Factorized Attention on Sphere. CoRR (2024)
Akshat Chaudhari, Chakradhar Guntuboina, Hongshuo Huang, Amir Barati Farimani
AlloyBERT: Alloy Property Prediction with Large Language Models. CoRR (2024)
Cooper Lorsung, Amir Barati Farimani
PICL: Physics Informed Contrastive Learning for Partial Differential Equations. CoRR (2024)
AmirPouya Hemmasian, Amir Barati Farimani
Pretraining a Neural Operator in Lower Dimensions. CoRR (2024)
Akshay Badagabettu, Sai Sravan Yarlagadda, Amir Barati Farimani
Query2CAD: Generating CAD models using natural language queries. CoRR (2024)
Cooper Lorsung, Zijie Li, Amir Barati Farimani
Physics informed token transformer for solving partial differential equations. Mach. Learn. Sci. Technol. 5 (1) (2024)
Janghoon Ock, Parisa Mollaei, Amir Barati Farimani
GradNav: Accelerated Exploration of Potential Energy Surfaces with Gradient-Based Navigation. CoRR (2024)
Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations. CoRR (2024)
Alison Bartsch, Amir Barati Farimani
LLM-Craft: Robotic Crafting of Elasto-Plastic Objects with Large Language Models. CoRR (2024)
Anthony Y. Zhou, Amir Barati Farimani
Masked Autoencoders are PDE Learners. CoRR (2024)
Jong Hoon Park, Gauri Pramod Dalwankar, Alison Bartsch, Abraham George, Amir Barati Farimani
Fluid viscosity prediction leveraging computer vision and robot interaction. Eng. Appl. Artif. Intell. 135 (2024)
Janghoon Ock, Rishikesh Magar, Akshay Antony, Amir Barati Farimani
Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis. CoRR (2024)
Selam Gano, Abraham George, Amir Barati Farimani
Low Fidelity Visuo-Tactile Pretraining Improves Vision-Only Manipulation Performance. CoRR (2024)
Zehua Zhang, Zijie Li, Amir Barati Farimani
Pretraining Strategy for Neural Potentials. CoRR (2024)
Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy. CoRR (2024)
Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. ICLR (2024)
Alison Bartsch, Charlotte Avra, Amir Barati Farimani
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation. ICRA (2024)
Suryanarayanan Balaji, Rishikesh Magar, Yayati Jadhav, Amir Barati Farimani
GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction. CoRR (2023)
Jong Hoon Park, Gauri Pramod Dalwankar, Alison Bartsch, Abraham George, Amir Barati Farimani
Fluid Property Prediction Leveraging AI and Robotics. CoRR (2023)
Saurabh Patil, Zijie Li, Amir Barati Farimani
HNO: Hyena Neural Operator for solving PDEs. CoRR (2023)
Cooper Lorsung, Zijie Li, Amir Barati Farimani
Physics Informed Token Transformer. CoRR (2023)
Kazem Meidani, Igor Borovikov, Amir Barati Farimani, Harold Chaput
Inverse Lighting with Differentiable Physically-Based Model. LION (2023)
Yuyang Wang, Kenji Shimada, Amir Barati Farimani
Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization. J. Comput. Des. Eng. 10 (4) (2023)
AmirPouya Hemmasian, Amir Barati Farimani
Multi-scale Time-stepping of Partial Differential Equations with Transformers. CoRR (2023)
Abraham George, Amir Barati Farimani
One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers. CoRR (2023)
Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy
Transformer-based Planning for Symbolic Regression. NeurIPS (2023)
Abraham George, Alison Bartsch, Amir Barati Farimani
OpenVR: Teleoperation for Manipulation. CoRR (2023)
Parisa Mollaei, Amir Barati Farimani
Activity Map and Transition Pathways of G Protein-Coupled Receptor Revealed by Machine Learning. J. Chem. Inf. Model. 63 (8) (2023)
Anthony Zhou, Amir Barati Farimani
FaultFormer: Transformer-based Prediction of Bearing Faults. CoRR (2023)
Atharva Dikshit, Alison Bartsch, Abraham George, Amir Barati Farimani
RoboChop: Autonomous Framework for Fruit and Vegetable Chopping Leveraging Foundational Models. CoRR (2023)
Alison Bartsch, Charlotte Avra, Amir Barati Farimani
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation. CoRR (2023)
Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy
Transformer-based Planning for Symbolic Regression. CoRR (2023)
Chakradhar Guntuboina, Adrita Das, Parisa Mollaei, Seongwon Kim, Amir Barati Farimani
PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction. CoRR (2023)
Dule Shu, Zijie Li, Amir Barati Farimani
A physics-informed diffusion model for high-fidelity flow field reconstruction. J. Comput. Phys. 478 (2023)
Kazem Meidani, Amir Barati Farimani
Identification of parametric dynamical systems using integer programming. Expert Syst. Appl. 219 (2023)
Francis Ogoke, Quanliang Liu, Olabode Ajenifujah, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen, Amir Barati Farimani
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion. CoRR (2023)
Zhonglin Cao, Yuyang Wang, Cooper Lorsung, Amir Barati Farimani
Neural Network Predicts Ion Concentration Profiles under Nanoconfinement. CoRR (2023)
Yuyang Wang, Changwen Xu, Zijie Li, Amir Barati Farimani
Denoise Pre-training on Non-equilibrium Molecules for Accurate and Transferable Neural Potentials. CoRR (2023)
Akshay Antony, Chakradhar Guntuboina, Rishikesh Magar, Lalit Ghule, Ruchit Doshi, Aman Khalid, Sharan Seshadri, Amir Barati Farimani
ManufacturingNet: A machine learning toolbox for engineers. SoftwareX 23 (2023)
Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. CoRR (2023)
Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani
Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models. CoRR (2023)
Abraham George, Alison Bartsch, Amir Barati Farimani
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning. ICRA (2023)
Zijie Li, Kazem Meidani, Amir Barati Farimani
Transformer for Partial Differential Equations' Operator Learning. Trans. Mach. Learn. Res. 2023 (2023)
Zijie Li, Dule Shu, Amir Barati Farimani
Scalable Transformer for PDE Surrogate Modeling. CoRR (2023)
Zijie Li, Dule Shu, Amir Barati Farimani
Scalable Transformer for PDE Surrogate Modeling. NeurIPS (2023)
Seongwon Kim, Parisa Mollaei, Akshay Antony, Rishikesh Magar, Amir Barati Farimani
GPCR-BERT: Interpreting Sequential Design of G Protein Coupled Receptors Using Protein Language Models. CoRR (2023)
Feiya Zhu, Shuo Hu, Letian Leng, Alison Bartsch, Abraham George, Amir Barati Farimani
Pour me a drink: Robotic Precision Pouring Carbonated Beverages into Transparent Containers. CoRR (2023)
Hongshuo Huang, Rishikesh Magar, Changwen Xu, Amir Barati Farimani
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction. CoRR (2023)
Francis Ogoke, Kyle Johnson, Michael Glinsky, Chris Laursen, Sharlotte Kramer, Amir Barati Farimani
Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing. CoRR (2022)
Yuyang Wang, Zijie Li, Amir Barati Farimani
Graph Neural Networks for Molecules. CoRR (2022)
Parand Akbari, Ning-Yu Kao, Amir Barati Farimani
Mechanical Properties Prediction in Metal Additive Manufacturing Using Machine Learning. CoRR (2022)
Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection. Appl. Soft Comput. 128 (2022)
Kazem Meidani, AmirPouya Hemmasian, Seyedali Mirjalili, Amir Barati Farimani
Adaptive grey wolf optimizer. Neural Comput. Appl. 34 (10) (2022)
Zijie Li, Tianqin Li, Amir Barati Farimani
TPU-GAN: Learning temporal coherence from dynamic point cloud sequences. ICLR (2022)
Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
Online metaheuristic algorithm selection. Expert Syst. Appl. 201 (2022)
Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani
AugLiChem: data augmentation library of chemical structures for machine learning. Mach. Learn. Sci. Technol. 3 (4) (2022)
AmirPouya Hemmasian, Francis Ogoke, Parand Akbari, Jonathan Malen, Jack L. Beuth, Amir Barati Farimani
Surrogate Modeling of Melt Pool Thermal Field using Deep Learning. CoRR (2022)
Changwen Xu, Yuyang Wang, Amir Barati Farimani
TransPolymer: a Transformer-based Language Model for Polymer Property Predictions. CoRR (2022)
Lu Xu, Rishikesh Magar, Amir Barati Farimani
Forecasting COVID-19 new cases using deep learning methods. Comput. Biol. Medicine 144 (2022)
Rishikesh Magar, Yuyang Wang, Amir Barati Farimani
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction. CoRR (2022)
Abraham George, Alison Bartsch, Amir Barati Farimani
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning. CoRR (2022)
Zijie Li, Kazem Meidani, Amir Barati Farimani
Transformer for Partial Differential Equations' Operator Learning. CoRR (2022)
Parand Akbari, Francis Ogoke, Ning-Yu Kao, Kazem Meidani, Chun-Yu Yeh, William Lee, Amir Barati Farimani
MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning. CoRR (2022)
Tianqin Li, Zijie Li, Andrew Luo, Harold Rockwell, Amir Barati Farimani, Tai Sing Lee
Prototype memory and attention mechanisms for few shot image generation. ICLR (2022)
Keqin Wang, Alison Bartsch, Amir Barati Farimani
MAN: Multi-Action Networks Learning. CoRR (2022)
Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. J. Chem. Inf. Model. 62 (11) (2022)
Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. CoRR (2022)
Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction. CoRR (2022)
Yue Jian, Yuyang Wang, Amir Barati Farimani
Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks. CoRR (2022)
Dule Shu, Zijie Li, Amir Barati Farimani
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction. CoRR (2022)
AmirPouya Hemmasian, Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
VecMetaPy: A vectorized framework for metaheuristic optimization in Python. Adv. Eng. Softw. 166 (2022)
Zijie Li, Amir Barati Farimani
Graph neural network-accelerated Lagrangian fluid simulation. Comput. Graph. 103 (2022)
Yayati Jadhav, Amir Barati Farimani
Dominant motion identification of multi-particle system using deep learning from video. Neural Comput. Appl. 34 (20) (2022)
Cooper Lorsung, Amir Barati Farimani
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics. CoRR (2022)
Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani
Molecular contrastive learning of representations via graph neural networks. Nat. Mach. Intell. 4 (3) (2022)
Junwoong Yoon, Zhonglin Cao, Rajesh K. Raju, Yuyang Wang, Robert Burnley, Andrew J. Gellman, Amir Barati Farimani, Zachary W. Ulissi
Deep reinforcement learning for predicting kinetic pathways to surface reconstruction in a ternary alloy. Mach. Learn. Sci. Technol. 2 (4) (2021)
Pranshu Pant, Ruchit Doshi, Pranav Bahl, Amir Barati Farimani
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations. CoRR (2021)
Angran Li, Amir Barati Farimani, Yongjie Jessica Zhang
Deep learning of material transport in complex neurite networks. CoRR (2021)
Phil M. Smith, Indorica Sutradhar, Maxwell Telmer, Rishikesh Magar, Amir Barati Farimani, B. Reeja-Jayan
Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting. Sensors 21 (19) (2021)
Zijie Li, Kazem Meidani, Prakarsh Yadav, Amir Barati Farimani
Graph Neural Networks Accelerated Molecular Dynamics. CoRR (2021)
Yuyang Wang, Zhonglin Cao, Amir Barati Farimani
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination. CoRR (2021)
Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani
FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification. IEEE Access 9 (2021)
Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani
MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks. CoRR (2021)
Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani
Graph convolutional networks applied to unstructured flow field data. Mach. Learn. Sci. Technol. 2 (4) (2021)
Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani
AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amir Barati Farimani