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ORCIDAmir Barati Farimani
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2020 – today
- 2025
[j35]Srivathsan Badrinarayanan
, Chakradhar Guntuboina, Parisa Mollaei, Amir Barati Farimani:
Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties. J. Chem. Inf. Model. 65(1): 83-91 (2025)- [j34]Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony, Radheesh Sharma Meda, Amir Barati Farimani:
MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models. J. Chem. Inf. Model. 65(17): 9049-9060 (2025) - [j33]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 modeling framework for partial differential equations. J. Comput. Phys. 524: 113705 (2025) - [j32]Alison Bartsch, Amir Barati Farimani:
Planning and Reasoning With 3D Deformable Objects for Hierarchical Text-to-3D Robotic Shaping. IEEE Robotics Autom. Lett. 10(6): 6215-6222 (2025) - [j31]Abraham George, Alison Bartsch, Amir Barati Farimani:
OpenVR: Teleoperation for manipulation. SoftwareX 29: 102054 (2025) - [c16]Zijie Li, Henry Li, Yichun Shi, Amir Barati Farimani, Yuval Kluger, Linjie Yang, Peng Wang:
Dual Diffusion for Unified Image Generation and Understanding. CVPR 2025: 2779-2790 - [c15]Owen Kwon, Abraham George, Alison Bartsch, Amir Barati Farimani:
RT-Cache: Training-Free Retrieval for Real-Time Manipulation. Humanoids 2025: 1-8 - [c14]Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy:
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. ICLR 2025 - [c13]Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani:
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation. ICLR 2025 - [c12]Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy:
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. ICML 2025 - [c11]Abraham George, Selam Gano, Pranav Katragadda, Amir Barati Farimani:
VITaL Pretraining: Visuo-Tactile Pretraining for Tactile and Non-Tactile Manipulation Policies. ICRA 2025: 258-264 - [i122]Zijie Li, Henry Li, Yichun Shi, Amir Barati Farimani, Yuval Kluger, Linjie Yang, Peng Wang:
Dual Diffusion for Unified Image Generation and Understanding. CoRR abs/2501.00289 (2025) - [i121]Ying-Ting Yeh, Janghoon Ock, Amir Barati Farimani:
Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap Prediction. CoRR abs/2501.03456 (2025) - [i120]Olabode Ajenifujah, Amir Barati Farimani:
Modeling Melt Pool Features and Spatter Using Symbolic Regression and Machine Learning. CoRR abs/2501.08922 (2025) - [i119]Peter Myung-Won Pak, Amir Barati Farimani:
AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing. CoRR abs/2501.17784 (2025) - [i118]Achuth Chandrasekhar, Omid Barati Farimani, Olabode Ajenifujah, Janghoon Ock, Amir Barati Farimani:
NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research. CoRR abs/2502.20541 (2025) - [i117]Akshay Raman, Chad Merrill, Abraham George, Amir Barati Farimani:
LLM-Drone: Aerial Additive Manufacturing with Drones Planned Using Large Language Models. CoRR abs/2503.17566 (2025) - [i116]Parisa Mollaei, Amir Barati Farimani:
Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification. CoRR abs/2503.19186 (2025) - [i115]Zijie Li, Anthony Y. Zhou, Amir Barati Farimani:
Generative Latent Neural PDE Solver using Flow Matching. CoRR abs/2503.22600 (2025) - [i114]Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy:
LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. CoRR abs/2504.10415 (2025) - [i113]Jesse Barkley, Abraham George, Amir Barati Farimani:
Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics. CoRR abs/2505.01931 (2025) - [i112]Owen Kwon, Abraham George, Alison Bartsch, Amir Barati Farimani:
RT-cache: Efficient Robot Trajectory Retrieval System. CoRR abs/2505.09040 (2025) - [i111]Anthony Y. Zhou, Amir Barati Farimani:
Neural Functional: Learning Function to Scalar Maps for Neural PDE Surrogates. CoRR abs/2505.13275 (2025) - [i110]Reid Graves, Anthony Y. Zhou, Amir Barati Farimani:
BlastOFormer: Attention and Neural Operator Deep Learning Methods for Explosive Blast Prediction. CoRR abs/2505.20454 (2025) - [i109]Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony, Radheesh Sharma Meda, Amir Barati Farimani:
MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models. CoRR abs/2506.00198 (2025) - [i108]Kevin Han, Bowen Deng, Amir Barati Farimani, Gerbrand Ceder:
DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials. CoRR abs/2506.02023 (2025) - [i107]Shagun Maheshwari, Janghoon Ock, Adeesh Kolluru, Amir Barati Farimani, John R. Kitchin:
Beyond Force Metrics: Pre-Training MLFFs for Stable MD Simulations. CoRR abs/2506.14850 (2025) - [i106]Tong Zeng, Srivathsan Badrinarayanan, Janghoon Ock, Cheng-Kai Lai, Amir Barati Farimani:
LLM-guided Chemical Process Optimization with a Multi-Agent Approach. CoRR abs/2506.20921 (2025) - [i105]Janghoon Ock, Radheesh Sharma Meda, Srivathsan Badrinarayanan, Neha S. Aluru, Achuth Chandrasekhar, Amir Barati Farimani:
Large Language Model Agent for Modular Task Execution in Drug Discovery. CoRR abs/2507.02925 (2025) - [i104]Achuth Chandrasekhar, Amir Barati Farimani:
Automating MD simulations for Proteins using Large language Models: NAMD-Agent. CoRR abs/2507.07887 (2025) - [i103]Alison Bartsch, Arvind Car, Amir Barati Farimani:
PinchBot: Long-Horizon Deformable Manipulation with Guided Diffusion Policy. CoRR abs/2507.17846 (2025) - [i102]Abraham George, Amir Barati Farimani:
LLM Trainer: Automated Robotic Data Generating via Demonstration Augmentation using LLMs. CoRR abs/2509.20070 (2025) - [i101]Anthony Y. Zhou, Alexander Wikner, Amaury Lancelin, Pedram Hassanzadeh, Amir Barati Farimani:
Reframing Generative Models for Physical Systems using Stochastic Interpolants. CoRR abs/2509.26282 (2025) - [i100]Maedeh Saberi, Amir Barati Farimani, Safa Jamali:
RheOFormer: A generative transformer model for simulation of complex fluids and flows. CoRR abs/2510.01365 (2025) - [i99]Peter Myung-Won Pak, Achuth Chandrasekhar, Amir Barati Farimani:
Agentic Additive Manufacturing Alloy Discovery. CoRR abs/2510.02567 (2025) - [i98]Srivathsan Badrinarayanan, Yue Su, Janghoon Ock, Alan Pham, Sanya Ahuja, Amir Barati Farimani:
Meta-Learning for Cross-Task Generalization in Protein Mutation Property Prediction. CoRR abs/2510.20943 (2025) - [i97]Kevin Han, Siddharth Maddikayala, Tim Knappe, Om Patel, Austen Liao, Amir Barati Farimani:
TDFlow: Agentic Workflows for Test Driven Software Engineering. CoRR abs/2510.23761 (2025) - 2024
- [j30]Anthony Y. Zhou, Amir Barati Farimani:
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification. IEEE Access 12: 70719-70728 (2024) - [j29]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: 108603 (2024) - [j28]Hongshuo Huang, Rishikesh Magar, Amir Barati Farimani:
Pretraining Strategies for Structure Agnostic Material Property Prediction. J. Chem. Inf. Model. 64(3): 627-637 (2024) - [j27]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): 1134-1144 (2024) - [j26]Cooper Lorsung, Zijie Li, Amir Barati Farimani:
Physics informed token transformer for solving partial differential equations. Mach. Learn. Sci. Technol. 5(1): 15032 (2024) - [j25]Janghoon Ock, Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony, Amir Barati Farimani:
Multimodal language and graph learning of adsorption configuration in catalysis. Nat. Mac. Intell. 6(12): 1501-1511 (2024) - [j24]AmirPouya Hemmasian, Amir Barati Farimani:
Pretraining a Neural Operator in Lower Dimensions. Trans. Mach. Learn. Res. 2024 (2024) - [j23]Anthony Y. Zhou, Amir Barati Farimani:
Masked Autoencoders are PDE Learners. Trans. Mach. Learn. Res. 2024 (2024) - [j22]Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, Amir Barati Farimani:
Strategies for Pretraining Neural Operators. Trans. Mach. Learn. Res. 2024 (2024) - [c10]Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani:
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. ICLR 2024 - [c9]Alison Bartsch, Charlotte Avra, Amir Barati Farimani:
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation. ICRA 2024: 12548-12555 - [c8]Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani:
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy. IROS 2024: 7307-7314 - [i96]Janghoon Ock, Rishikesh Magar, Akshay Antony, Amir Barati Farimani:
Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis. CoRR abs/2401.07408 (2024) - [i95]Cooper Lorsung, Amir Barati Farimani:
PICL: Physics Informed Contrastive Learning for Partial Differential Equations. CoRR abs/2401.16327 (2024) - [i94]Zehua Zhang, Zijie Li, Amir Barati Farimani:
Pretraining Strategy for Neural Potentials. CoRR abs/2402.15921 (2024) - [i93]Dule Shu, Wilson Zhen, Zijie Li, Amir Barati Farimani:
Inpainting Computational Fluid Dynamics with Deep Learning. CoRR abs/2402.17185 (2024) - [i92]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 abs/2402.17853 (2024) - [i91]Janghoon Ock, Parisa Mollaei, Amir Barati Farimani:
GradNav: Accelerated Exploration of Potential Energy Surfaces with Gradient-Based Navigation. CoRR abs/2403.10358 (2024) - [i90]Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani:
SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy. CoRR abs/2403.10401 (2024) - [i89]Abraham George, Selam Gano, Pranav Katragadda, Amir Barati Farimani:
Visuo-Tactile Pretraining for Cable Plugging. CoRR abs/2403.11898 (2024) - [i88]Anthony Y. Zhou, Amir Barati Farimani:
Masked Autoencoders are PDE Learners. CoRR abs/2403.17728 (2024) - [i87]Akshat Chaudhari, Chakradhar Guntuboina, Hongshuo Huang, Amir Barati Farimani:
AlloyBERT: Alloy Property Prediction with Large Language Models. CoRR abs/2403.19783 (2024) - [i86]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 abs/2404.16882 (2024) - [i85]Yayati Jadhav, Amir Barati Farimani:
Large Language Model Agent as a Mechanical Designer. CoRR abs/2404.17525 (2024) - [i84]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 abs/2404.17699 (2024) - [i83]Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy:
LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. CoRR abs/2404.18400 (2024) - [i82]Zijie Li, Anthony Y. Zhou, Saurabh Patil, Amir Barati Farimani:
CaFA: Global Weather Forecasting with Factorized Attention on Sphere. CoRR abs/2405.07395 (2024) - [i81]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 abs/2405.07823 (2024) - [i80]Abraham George, Yibo Chen, Atharva Dikshit, Peter Myung-Won Pak, Amir Barati Farimani:
BeadSight: An Inexpensive Tactile Sensor Using Hydro-Gel Beads. CoRR abs/2405.13204 (2024) - [i79]Tirtha Vinchurkar, Janghoon Ock, Amir Barati Farimani:
Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis. CoRR abs/2405.20397 (2024) - [i78]Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke, Olabode Ajenifujah, Amir Barati Farimani:
AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing. CoRR abs/2406.00031 (2024) - [i77]Akshay Badagabettu, Sai Sravan Yarlagadda, Amir Barati Farimani:
Query2CAD: Generating CAD models using natural language queries. CoRR abs/2406.00144 (2024) - [i76]Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, Amir Barati Farimani:
Strategies for Pretraining Neural Operators. CoRR abs/2406.08473 (2024) - [i75]Alison Bartsch, Amir Barati Farimani:
LLM-Craft: Robotic Crafting of Elasto-Plastic Objects with Large Language Models. CoRR abs/2406.08648 (2024) - [i74]Selam Gano, Abraham George, Amir Barati Farimani:
Low Fidelity Visuo-Tactile Pretraining Improves Vision-Only Manipulation Performance. CoRR abs/2406.15639 (2024) - [i73]Srivathsan Badrinarayanan, Chakradhar Guntuboina, Parisa Mollaei, Amir Barati Farimani:
Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties. CoRR abs/2407.03380 (2024) - [i72]AmirPouya Hemmasian, Amir Barati Farimani:
Pretraining a Neural Operator in Lower Dimensions. CoRR abs/2407.17616 (2024) - [i71]Dule Shu, Amir Barati Farimani:
Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models. CoRR abs/2408.04718 (2024) - [i70]Yayati Jadhav, Peter Myung-Won Pak, Amir Barati Farimani:
LLM-3D Print: Large Language Models To Monitor and Control 3D Printing. CoRR abs/2408.14307 (2024) - [i69]Reid Graves, Amir Barati Farimani:
Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation. CoRR abs/2408.15898 (2024) - [i68]Arvind Car, Sai Sravan Yarlagadda, Alison Bartsch, Abraham George, Amir Barati Farimani:
PLATO: Planning with LLMs and Affordances for Tool Manipulation. CoRR abs/2409.11580 (2024) - [i67]Francis Ogoke, Sumesh Kalambettu Suresh, Jesse Adamczyk, Dan S. Bolintineanu, Anthony Garland, Michael J. Heiden, Amir Barati Farimani:
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring. CoRR abs/2409.13171 (2024) - [i66]Cooper Lorsung, Amir Barati Farimani:
Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text. CoRR abs/2410.01137 (2024) - [i65]Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani:
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation. CoRR abs/2410.01153 (2024) - [i64]Janghoon Ock, Tirtha Vinchurkar, Yayati Jadhav, Amir Barati Farimani:
Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model Agent. CoRR abs/2410.16658 (2024) - [i63]Aayush Shah, Chakradhar Guntuboina, Amir Barati Farimani:
Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision. CoRR abs/2410.19222 (2024) - [i62]Radheesh Sharma Meda, Amir Barati Farimani:
BAPULM: Binding Affinity Prediction using Language Models. CoRR abs/2411.04150 (2024) - [i61]Alison Bartsch, Amir Barati Farimani:
Planning and Reasoning with 3D Deformable Objects for Hierarchical Text-to-3D Robotic Shaping. CoRR abs/2412.01765 (2024) - [i60]Anthony Y. Zhou, Amir Barati Farimani:
Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates. CoRR abs/2412.13074 (2024) - 2023
- [j21]Kazem Meidani, Amir Barati Farimani:
Identification of parametric dynamical systems using integer programming. Expert Syst. Appl. 219: 119622 (2023) - [j20]Yuyang Wang, Kenji Shimada, Amir Barati Farimani:
Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization. J. Comput. Des. Eng. 10(4): 1350-1362 (2023) - [j19]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): 2296-2304 (2023) - [j18]Dule Shu, Zijie Li, Amir Barati Farimani:
A physics-informed diffusion model for high-fidelity flow field reconstruction. J. Comput. Phys. 478: 111972 (2023) - [j17]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: 101478 (2023) - [j16]Zijie Li, Kazem Meidani, Amir Barati Farimani:
Transformer for Partial Differential Equations' Operator Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c7]Abraham George, Alison Bartsch, Amir Barati Farimani:
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning. ICRA 2023: 5027-5033 - [c6]Kazem Meidani, Igor Borovikov, Amir Barati Farimani, Harold Chaput:
Inverse Lighting with Differentiable Physically-Based Model. LION 2023: 286-300 - [c5]Zijie Li, Dule Shu, Amir Barati Farimani:
Scalable Transformer for PDE Surrogate Modeling. NeurIPS 2023 - [c4]Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy:
Transformer-based Planning for Symbolic Regression. NeurIPS 2023 - [i59]Yuyang Wang, Changwen Xu, Zijie Li, Amir Barati Farimani:
Denoise Pre-training on Non-equilibrium Molecules for Accurate and Transferable Neural Potentials. CoRR abs/2303.02216 (2023) - [i58]Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy:
Transformer-based Planning for Symbolic Regression. CoRR abs/2303.06833 (2023) - [i57]Zhonglin Cao, Yuyang Wang, Cooper Lorsung, Amir Barati Farimani:
Neural Network Predicts Ion Concentration Profiles under Nanoconfinement. CoRR abs/2304.04896 (2023) - [i56]Cooper Lorsung, Zijie Li, Amir Barati Farimani:
Physics Informed Token Transformer. CoRR abs/2305.08757 (2023) - [i55]Abraham George, Alison Bartsch, Amir Barati Farimani:
OpenVR: Teleoperation for Manipulation. CoRR abs/2305.09765 (2023) - [i54]Zijie Li, Dule Shu, Amir Barati Farimani:
Scalable Transformer for PDE Surrogate Modeling. CoRR abs/2305.17560 (2023) - [i53]Saurabh Patil, Zijie Li, Amir Barati Farimani:
HNO: Hyena Neural Operator for solving PDEs. CoRR abs/2306.16524 (2023) - [i52]Atharva Dikshit, Alison Bartsch, Abraham George, Amir Barati Farimani:
RoboChop: Autonomous Framework for Fruit and Vegetable Chopping Leveraging Foundational Models. CoRR abs/2307.13159 (2023) - [i51]Jong Hoon Park, Gauri Pramod Dalwankar, Alison Bartsch, Abraham George, Amir Barati Farimani:
Fluid Property Prediction Leveraging AI and Robotics. CoRR abs/2308.02715 (2023) - [i50]Hongshuo Huang, Rishikesh Magar, Changwen Xu, Amir Barati Farimani:
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction. CoRR abs/2308.16259 (2023) - [i49]Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani:
Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models. CoRR abs/2309.00563 (2023) - [i48]Chakradhar Guntuboina, Adrita Das, Parisa Mollaei, Seongwon Kim, Amir Barati Farimani:
PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction. CoRR abs/2309.03099 (2023) - [i47]Alison Bartsch, Charlotte Avra, Amir Barati Farimani:
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation. CoRR abs/2309.08728 (2023) - [i46]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 abs/2309.08892 (2023) - [i45]Abraham George, Amir Barati Farimani:
One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers. CoRR abs/2309.10175 (2023) - [i44]Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani:
SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. CoRR abs/2310.02227 (2023) - [i43]Suryanarayanan Balaji, Rishikesh Magar, Yayati Jadhav, Amir Barati Farimani:
GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction. CoRR abs/2310.03030 (2023) - [i42]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 abs/2310.19915 (2023) - [i41]AmirPouya Hemmasian, Amir Barati Farimani:
Multi-scale Time-stepping of Partial Differential Equations with Transformers. CoRR abs/2311.02225 (2023) - [i40]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 abs/2311.16168 (2023) - [i39]Anthony Y. Zhou, Amir Barati Farimani:
FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification. CoRR abs/2312.02380 (2023) - 2022
- [j15]AmirPouya Hemmasian, Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani:
VecMetaPy: A vectorized framework for metaheuristic optimization in Python. Adv. Eng. Softw. 166: 103092 (2022) - [j14]Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani:
MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection. Appl. Soft Comput. 128: 109452 (2022) - [j13]Lu Xu, Rishikesh Magar, Amir Barati Farimani:
Forecasting COVID-19 new cases using deep learning methods. Comput. Biol. Medicine 144: 105342 (2022) - [j12]Zijie Li, Amir Barati Farimani:
Graph neural network-accelerated Lagrangian fluid simulation. Comput. Graph. 103: 201-211 (2022) - [j11]Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani:
Online metaheuristic algorithm selection. Expert Syst. Appl. 201: 117058 (2022) - [j10]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): 2713-2725 (2022) - [j9]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): 45015 (2022) - [j8]Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani:
Molecular contrastive learning of representations via graph neural networks. Nat. Mach. Intell. 4(3): 279-287 (2022) - [j7]Kazem Meidani, AmirPouya Hemmasian, Seyedali Mirjalili, Amir Barati Farimani:
Adaptive grey wolf optimizer. Neural Comput. Appl. 34(10): 7711-7731 (2022) - [j6]Yayati Jadhav, Amir Barati Farimani:
Dominant motion identification of multi-particle system using deep learning from video. Neural Comput. Appl. 34(20): 18183-18193 (2022) - [c3]Zijie Li, Tianqin Li, Amir Barati Farimani:
TPU-GAN: Learning temporal coherence from dynamic point cloud sequences. ICLR 2022 - [c2]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 - [i38]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 abs/2201.11662 (2022) - [i37]Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani:
Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. CoRR abs/2202.09346 (2022) - [i36]Rishikesh Magar, Yuyang Wang, Amir Barati Farimani:
Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction. CoRR abs/2205.01893 (2022) - [i35]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 abs/2205.05794 (2022) - [i34]Zijie Li, Kazem Meidani, Amir Barati Farimani:
Transformer for Partial Differential Equations' Operator Learning. CoRR abs/2205.13671 (2022) - [i33]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 abs/2207.12259 (2022) - [i32]Changwen Xu, Yuyang Wang, Amir Barati Farimani:
TransPolymer: a Transformer-based Language Model for Polymer Property Predictions. CoRR abs/2209.01307 (2022) - [i31]Yuyang Wang, Zijie Li, Amir Barati Farimani:
Graph Neural Networks for Molecules. CoRR abs/2209.05582 (2022) - [i30]Keqin Wang, Alison Bartsch, Amir Barati Farimani:
MAN: Multi-Action Networks Learning. CoRR abs/2209.09329 (2022) - [i29]Abraham George, Alison Bartsch, Amir Barati Farimani:
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning. CoRR abs/2209.11275 (2022) - [i28]Parand Akbari, Ning-Yu Kao, Amir Barati Farimani:
Mechanical Properties Prediction in Metal Additive Manufacturing Using Machine Learning. CoRR abs/2209.12605 (2022) - [i27]Yue Jian, Yuyang Wang, Amir Barati Farimani:
Predicting CO2 Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks. CoRR abs/2210.01120 (2022) - [i26]Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani:
MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction. CoRR abs/2210.14188 (2022) - [i25]Dule Shu, Zijie Li, Amir Barati Farimani:
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction. CoRR abs/2211.14680 (2022) - [i24]Cooper Lorsung, Amir Barati Farimani:
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics. CoRR abs/2212.01428 (2022) - 2021
- [j5]Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani:
FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification. IEEE Access 9: 25189-25199 (2021) - [j4]Baishali Mullick, Rishikesh Magar, Aastha Jhunjhunwala, Amir Barati Farimani:
Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering. Comput. Biol. Medicine 138: 104915 (2021) - [j3]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): 45018 (2021) - [j2]Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani:
Graph convolutional networks applied to unstructured flow field data. Mach. Learn. Sci. Technol. 2(4): 45020 (2021) - [j1]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): 6335 (2021) - [i23]Yuyang Wang, Kenji Shimada, Amir Barati Farimani:
Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization. CoRR abs/2101.04757 (2021) - [i22]Yuyang Wang, Zhonglin Cao, Amir Barati Farimani:
Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination. CoRR abs/2101.07399 (2021) - [i21]Francis Ogoke, Amir Barati Farimani:
Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning. CoRR abs/2102.03355 (2021) - [i20]Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani:
MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks. CoRR abs/2102.10056 (2021) - [i19]Yilang Liu, Amir Barati Farimani:
An Energy-Saving Snake Locomotion Gait Policy Using Deep Reinforcement Learning. CoRR abs/2103.04511 (2021) - [i18]Angran Li, Amir Barati Farimani, Yongjie Jessica Zhang:
Deep learning of material transport in complex neurite networks. CoRR abs/2103.08654 (2021) - [i17]Yayati Jadhav, Amir Barati Farimani:
Dominant motion identification of multi-particle system using deep learning from video. CoRR abs/2104.12722 (2021) - [i16]Pranshu Pant, Ruchit Doshi, Pranav Bahl, Amir Barati Farimani:
Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations. CoRR abs/2107.04556 (2021) - [i15]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 abs/2111.15112 (2021) - [i14]Zijie Li, Kazem Meidani, Prakarsh Yadav, Amir Barati Farimani:
Graph Neural Networks Accelerated Molecular Dynamics. CoRR abs/2112.03383 (2021) - 2020
- [i13]Juan Carlos Vargas, Lazar Andjelic, Amir Barati Farimani:
Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods. CoRR abs/2001.06725 (2020) - [i12]Rishikesh Magar, Prakarsh Yadav, Amir Barati Farimani:
Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning. CoRR abs/2003.08447 (2020) - [i11]Changlin Jiang, Amir Barati Farimani:
Deep Learning Convective Flow Using Conditional Generative Adversarial Networks. CoRR abs/2005.06422 (2020) - [i10]Haoliang Jiang, Zhenguo Nie, Roselyn Yeo, Amir Barati Farimani, Levent Burak Kara:
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction. CoRR abs/2006.11376 (2020) - [i9]Mohammadreza Karamad, Rishikesh Magar, Yuting Shi, Samira Siahrostami, Ian Donald Gates, Amir Barati Farimani:
Orbital Graph Convolutional Neural Network for Material Property Prediction. CoRR abs/2008.06415 (2020) - [i8]Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani:
FaultNet: A Deep Convolutional Neural Network for bearing fault classification. CoRR abs/2010.02146 (2020) - [i7]Kazem Meidani, Amir Barati Farimani:
Data-driven Identification of 2D Partial Differential Equations using extracted physical features. CoRR abs/2010.10626 (2020) - [i6]Pranshu Pant, Amir Barati Farimani:
Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data. CoRR abs/2010.11348 (2020) - [i5]Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani:
Graph Convolutional Neural Networks for Body Force Prediction. CoRR abs/2012.02232 (2020)
2010 – 2019
- 2019
- [c1]Kevin Dai, Amir Barati Farimani, Victoria A. Webster-Wood:
Bio-inspired Stochastic Growth and Initialization for Artificial Neural Networks. Living Machines 2019: 88-100 - [i4]Juan Carlos Vargas, Malhar Bhoite, Amir Barati Farimani:
Creativity in Robot Manipulation with Deep Reinforcement Learning. CoRR abs/1910.07459 (2019) - 2018
- [i3]Amir Barati Farimani, Joseph Gomes, Rishi Sharma, Franklin L. Lee, Vijay S. Pande:
Deep Learning Phase Segregation. CoRR abs/1803.08993 (2018) - [i2]Rishi Sharma, Amir Barati Farimani, Joe Gomes, Peter K. Eastman, Vijay S. Pande:
Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss. CoRR abs/1807.11374 (2018) - 2017
- [i1]Amir Barati Farimani, Joseph Gomes, Vijay S. Pande:
Deep Learning the Physics of Transport Phenomena. CoRR abs/1709.02432 (2017)
Coauthor Index
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