Amir Barati Farimani

188 papers A* 12A 2Journal 170Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdditiveLLM2: A Multi-modal Large Language Model for Additive Manufacturing. CoRR Peter Myung-Won Pak, Amir Barati Farimani
2026	J	`jnl`	CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation. CoRR Jesse Barkley, Rumi Loghmani, Amir Barati Farimani
2026	J	`jnl`	Catalyst-Agent: Autonomous heterogeneous catalyst screening and optimization with an LLM Agent. CoRR Achuth Chandrasekhar, Janghoon Ock, Amir Barati Farimani
2026	J	`jnl`	Coupled Diffusion-Encoder Models for Reconstruction of Flow Fields. CoRR AmirPouya Hemmasian, Amir Barati Farimani
2026	J	`jnl`	From Natural Language to Materials Discovery:The Materials Knowledge Navigation Agent. CoRR Genmao Zhuang, Amir Barati Farimani
2026	J	`jnl`	Generative Neural Operators through Diffusion Last Layer. CoRR Sungwon Park, Anthony Y. Zhou, Hongjoong Kim, Amir Barati Farimani
2026	J	`jnl`	Large Language Model Agent for Modular Task Execution in Drug Discovery. J. Chem. Inf. Model. Janghoon Ock, Radheesh Sharma Meda, Srivathsan Badrinarayanan, Neha S. Aluru, Achuth Chandrasekhar, Amir Barati Farimani
2026	J	`jnl`	LinkD: AutoRegressive Diffusion Model for Mechanical Linkage Synthesis. CoRR Yayati Jadhav, Amir Barati Farimani
2026	J	`jnl`	PolyAgent: Large Language Model Agent for Polymer Design. CoRR Vani Nigam, Achuth Chandrasekhar, Amir Barati Farimani
2026	J	`jnl`	Smooth Dynamic Cutoffs for Machine Learning Interatomic Potentials. CoRR Kevin Han, Haolin Cong, Bowen Deng, Amir Barati Farimani
2026	J	`jnl`	Synthesizing the Kill Chain: A Zero-Shot Framework for Target Verification and Tactical Reasoning on the Edge. CoRR Jesse Barkley, Abraham George, Amir Barati Farimani
2026	—	`conf`	TDFlow: Agentic Workflows for Test Driven Development. EACL (Volume 1: Long Papers) Kevin Han, Siddharth Maddikayala, Tim Knappe, Om Patel, Austen Liao, Amir Barati Farimani
2025	J	`jnl`	AdditiveLLM: Large Language Models Predict Defects in Additive Manufacturing. CoRR Peter Myung-Won Pak, Amir Barati Farimani
2025	J	`jnl`	Agentic Additive Manufacturing Alloy Discovery. CoRR Peter Myung-Won Pak, Achuth Chandrasekhar, Amir Barati Farimani
2025	J	`jnl`	Automating MD simulations for Proteins using Large language Models: NAMD-Agent. CoRR Achuth Chandrasekhar, Amir Barati Farimani
2025	J	`jnl`	Beyond Force Metrics: Pre-Training MLFFs for Stable MD Simulations. CoRR Shagun Maheshwari, Janghoon Ock, Adeesh Kolluru, Amir Barati Farimani, John R. Kitchin
2025	J	`jnl`	BlastOFormer: Attention and Neural Operator Deep Learning Methods for Explosive Blast Prediction. CoRR Reid Graves, Anthony Y. Zhou, Amir Barati Farimani
2025	J	`jnl`	DistMLIP: A Distributed Inference Platform for Machine Learning Interatomic Potentials. CoRR Kevin Han, Bowen Deng, Amir Barati Farimani, Gerbrand Ceder
2025	A*	`conf`	Dual Diffusion for Unified Image Generation and Understanding. CVPR Zijie Li, Henry Li, Yichun Shi, Amir Barati Farimani, Yuval Kluger, Linjie Yang, Peng Wang
2025	J	`jnl`	Dual Diffusion for Unified Image Generation and Understanding. CoRR Zijie Li, Henry Li, Yichun Shi, Amir Barati Farimani, Yuval Kluger, Linjie Yang, Peng Wang
2025	J	`jnl`	Generative Latent Neural PDE Solver using Flow Matching. CoRR Zijie Li, Anthony Y. Zhou, Amir Barati Farimani
2025	J	`jnl`	Image2Gcode: Image-to-G-code Generation for Additive Manufacturing Using Diffusion-Transformer Model. CoRR Ziyue Wang, Yayati Jadhav, Peter Myung-Won Pak, Amir Barati Farimani
2025	J	`jnl`	LLM Trainer: Automated Robotic Data Generating via Demonstration Augmentation using LLMs. CoRR Abraham George, Amir Barati Farimani
2025	J	`jnl`	LLM-Drone: Aerial Additive Manufacturing with Drones Planned Using Large Language Models. CoRR Akshay Raman, Chad Merrill, Abraham George, Amir Barati Farimani
2025	A*	`conf`	LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. ICLR Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy
2025	A*	`conf`	LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. ICML Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy
2025	J	`jnl`	LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models. CoRR Parshin Shojaee, Ngoc-Hieu Nguyen, Kazem Meidani, Amir Barati Farimani, Khoa D. Doan, Chandan K. Reddy
2025	J	`jnl`	LLM-guided Chemical Process Optimization with a Multi-Agent Approach. CoRR Tong Zeng, Srivathsan Badrinarayanan, Janghoon Ock, Cheng-Kai Lai, Amir Barati Farimani
2025	J	`jnl`	LLM-guided chemical process optimization with a multi-agent approach. Mach. Learn. Sci. Technol. Tong Zeng, Srivathsan Badrinarayanan, Janghoon Ock, Cheng-Kai Lai, Amir Barati Farimani
2025	J	`jnl`	Large Language Model Agent for Modular Task Execution in Drug Discovery. CoRR Janghoon Ock, Radheesh Sharma Meda, Srivathsan Badrinarayanan, Neha S. Aluru, Achuth Chandrasekhar, Amir Barati Farimani
2025	J	`jnl`	Latent neural PDE solver: A reduced-order modeling framework for partial differential equations. J. Comput. Phys. Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
2025	A	`conf`	Low-Fidelity Visuo-Tactile Pre-Training Improves Vision-Only Manipulation Performance. IROS Selam Gano, Abraham George, Amir Barati Farimani
2025	J	`jnl`	MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models. CoRR Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony, Radheesh Sharma Meda, Amir Barati Farimani
2025	J	`jnl`	MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models. J. Chem. Inf. Model. Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony, Radheesh Sharma Meda, Amir Barati Farimani
2025	J	`jnl`	Meta-Learning for Cross-Task Generalization in Protein Mutation Property Prediction. CoRR Srivathsan Badrinarayanan, Yue Su, Janghoon Ock, Alan Pham, Sanya Ahuja, Amir Barati Farimani
2025	J	`jnl`	Modeling Melt Pool Features and Spatter Using Symbolic Regression and Machine Learning. CoRR Olabode Ajenifujah, Amir Barati Farimani
2025	J	`jnl`	Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties. J. Chem. Inf. Model. Srivathsan Badrinarayanan, Chakradhar Guntuboina, Parisa Mollaei, Amir Barati Farimani
2025	J	`jnl`	NANOGPT: A Query-Driven Large Language Model Retrieval-Augmented Generation System for Nanotechnology Research. CoRR Achuth Chandrasekhar, Omid Barati Farimani, Olabode Ajenifujah, Janghoon Ock, Amir Barati Farimani
2025	J	`jnl`	Neural Functional: Learning Function to Scalar Maps for Neural PDE Surrogates. CoRR Anthony Y. Zhou, Amir Barati Farimani
2025	J	`jnl`	OpenVR: Teleoperation for manipulation. SoftwareX Abraham George, Alison Bartsch, Amir Barati Farimani
2025	J	`jnl`	PinchBot: Long-Horizon Deformable Manipulation with Guided Diffusion Policy. CoRR Alison Bartsch, Arvind Car, Amir Barati Farimani
2025	J	`jnl`	Planning and Reasoning With 3D Deformable Objects for Hierarchical Text-to-3D Robotic Shaping. IEEE Robotics Autom. Lett. Alison Bartsch, Amir Barati Farimani
2025	J	`jnl`	Protein Structure-Function Relationship: A Kernel-PCA Approach for Reaction Coordinate Identification. CoRR Parisa Mollaei, Amir Barati Farimani
2025	—	`conf`	RT-Cache: Training-Free Retrieval for Real-Time Manipulation. Humanoids Owen Kwon, Abraham George, Alison Bartsch, Amir Barati Farimani
2025	J	`jnl`	RT-cache: Efficient Robot Trajectory Retrieval System. CoRR Owen Kwon, Abraham George, Alison Bartsch, Amir Barati Farimani
2025	J	`jnl`	Reframing Generative Models for Physical Systems using Stochastic Interpolants. CoRR Anthony Y. Zhou, Alexander Wikner, Amaury Lancelin, Pedram Hassanzadeh, Amir Barati Farimani
2025	J	`jnl`	RheOFormer: A generative transformer model for simulation of complex fluids and flows. CoRR Maedeh Saberi, Amir Barati Farimani, Safa Jamali
2025	J	`jnl`	Semantic Intelligence: Integrating GPT-4 with A Planning in Low-Cost Robotics. CoRR Jesse Barkley, Abraham George, Amir Barati Farimani
2025	J	`jnl`	TDFlow: Agentic Workflows for Test Driven Software Engineering. CoRR Kevin Han, Siddharth Maddikayala, Tim Knappe, Om Patel, Austen Liao, Amir Barati Farimani
2025	J	`jnl`	Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap Prediction. CoRR Ying-Ting Yeh, Janghoon Ock, Amir Barati Farimani
2025	A*	`conf`	Text2PDE: Latent Diffusion Models for Accessible Physics Simulation. ICLR Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
2025	A*	`conf`	VITaL Pretraining: Visuo-Tactile Pretraining for Tactile and Non-Tactile Manipulation Policies. ICRA Abraham George, Selam Gano, Pranav Katragadda, Amir Barati Farimani
2024	J	`jnl`	AMGPT: a Large Language Model for Contextual Querying in Additive Manufacturing. CoRR Achuth Chandrasekhar, Jonathan Chan, Francis Ogoke, Olabode Ajenifujah, Amir Barati Farimani
2024	J	`jnl`	Adsorb-Agent: Autonomous Identification of Stable Adsorption Configurations via Large Language Model Agent. CoRR Janghoon Ock, Tirtha Vinchurkar, Yayati Jadhav, Amir Barati Farimani
2024	J	`jnl`	Airfoil Diffusion: Denoising Diffusion Model For Conditional Airfoil Generation. CoRR Reid Graves, Amir Barati Farimani
2024	J	`jnl`	AlloyBERT: Alloy Property Prediction with Large Language Models. CoRR Akshat Chaudhari, Chakradhar Guntuboina, Hongshuo Huang, Amir Barati Farimani
2024	J	`jnl`	BAPULM: Binding Affinity Prediction using Language Models. CoRR Radheesh Sharma Meda, Amir Barati Farimani
2024	J	`jnl`	BeadSight: An Inexpensive Tactile Sensor Using Hydro-Gel Beads. CoRR Abraham George, Yibo Chen, Atharva Dikshit, Peter Myung-Won Pak, Amir Barati Farimani
2024	J	`jnl`	CaFA: Global Weather Forecasting with Factorized Attention on Sphere. CoRR Zijie Li, Anthony Y. Zhou, Saurabh Patil, Amir Barati Farimani
2024	J	`jnl`	Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring. CoRR Francis Ogoke, Sumesh Kalambettu Suresh, Jesse Adamczyk, Dan S. Bolintineanu, Anthony Garland, Michael J. Heiden, Amir Barati Farimani
2024	J	`jnl`	Deep Learning for Melt Pool Depth Contour Prediction From Surface Thermal Images via Vision Transformers. CoRR Francis Ogoke, Peter Myung-Won Pak, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen, Amir Barati Farimani
2024	J	`jnl`	Explain Like I'm Five: Using LLMs to Improve PDE Surrogate Models with Text. CoRR Cooper Lorsung, Amir Barati Farimani
2024	J	`jnl`	Explainable Data-driven Modeling of Adsorption Energy in Heterogeneous Catalysis. CoRR Tirtha Vinchurkar, Janghoon Ock, Amir Barati Farimani
2024	J	`jnl`	FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification. IEEE Access Anthony Y. Zhou, Amir Barati Farimani
2024	J	`jnl`	Fluid viscosity prediction leveraging computer vision and robot interaction. Eng. Appl. Artif. Intell. Jong Hoon Park, Gauri Pramod Dalwankar, Alison Bartsch, Abraham George, Amir Barati Farimani
2024	J	`jnl`	GPCR-BERT: Interpreting Sequential Design of G Protein-Coupled Receptors Using Protein Language Models. J. Chem. Inf. Model. Seongwon Kim, Parisa Mollaei, Akshay Antony, Rishikesh Magar, Amir Barati Farimani
2024	J	`jnl`	GradNav: Accelerated Exploration of Potential Energy Surfaces with Gradient-Based Navigation. CoRR Janghoon Ock, Parisa Mollaei, Amir Barati Farimani
2024	J	`jnl`	Inpainting Computational Fluid Dynamics with Deep Learning. CoRR Dule Shu, Wilson Zhen, Zijie Li, Amir Barati Farimani
2024	J	`jnl`	Integrating Multi-Physics Simulations and Machine Learning to Define the Spatter Mechanism and Process Window in Laser Powder Bed Fusion. CoRR Olabode Ajenifujah, Francis Ogoke, Florian Wirth, Jack L. Beuth, Amir Barati Farimani
2024	J	`jnl`	LLM-3D Print: Large Language Models To Monitor and Control 3D Printing. CoRR Yayati Jadhav, Peter Myung-Won Pak, Amir Barati Farimani
2024	J	`jnl`	LLM-Craft: Robotic Crafting of Elasto-Plastic Objects with Large Language Models. CoRR Alison Bartsch, Amir Barati Farimani
2024	J	`jnl`	LLM-SR: Scientific Equation Discovery via Programming with Large Language Models. CoRR Parshin Shojaee, Kazem Meidani, Shashank Gupta, Amir Barati Farimani, Chandan K. Reddy
2024	J	`jnl`	Large Language Model Agent as a Mechanical Designer. CoRR Yayati Jadhav, Amir Barati Farimani
2024	J	`jnl`	Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations. CoRR Zijie Li, Saurabh Patil, Francis Ogoke, Dule Shu, Wilson Zhen, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
2024	J	`jnl`	Low Fidelity Visuo-Tactile Pretraining Improves Vision-Only Manipulation Performance. CoRR Selam Gano, Abraham George, Amir Barati Farimani
2024	J	`jnl`	Masked Autoencoders are PDE Learners. CoRR Anthony Y. Zhou, Amir Barati Farimani
2024	J	`jnl`	Masked Autoencoders are PDE Learners. Trans. Mach. Learn. Res. Anthony Y. Zhou, Amir Barati Farimani
2024	J	`jnl`	Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties. CoRR Srivathsan Badrinarayanan, Chakradhar Guntuboina, Parisa Mollaei, Amir Barati Farimani
2024	J	`jnl`	Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis. CoRR Janghoon Ock, Rishikesh Magar, Akshay Antony, Amir Barati Farimani
2024	J	`jnl`	Multimodal language and graph learning of adsorption configuration in catalysis. Nat. Mac. Intell. Janghoon Ock, Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony, Amir Barati Farimani
2024	J	`jnl`	PICL: Physics Informed Contrastive Learning for Partial Differential Equations. CoRR Cooper Lorsung, Amir Barati Farimani
2024	J	`jnl`	PLATO: Planning with LLMs and Affordances for Tool Manipulation. CoRR Arvind Car, Sai Sravan Yarlagadda, Alison Bartsch, Abraham George, Amir Barati Farimani
2024	J	`jnl`	Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision. CoRR Aayush Shah, Chakradhar Guntuboina, Amir Barati Farimani
2024	J	`jnl`	Physics informed token transformer for solving partial differential equations. Mach. Learn. Sci. Technol. Cooper Lorsung, Zijie Li, Amir Barati Farimani
2024	J	`jnl`	Planning and Reasoning with 3D Deformable Objects for Hierarchical Text-to-3D Robotic Shaping. CoRR Alison Bartsch, Amir Barati Farimani
2024	J	`jnl`	Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates. CoRR Anthony Y. Zhou, Amir Barati Farimani
2024	J	`jnl`	Pretraining Strategies for Structure Agnostic Material Property Prediction. J. Chem. Inf. Model. Hongshuo Huang, Rishikesh Magar, Amir Barati Farimani
2024	J	`jnl`	Pretraining Strategy for Neural Potentials. CoRR Zehua Zhang, Zijie Li, Amir Barati Farimani
2024	J	`jnl`	Pretraining a Neural Operator in Lower Dimensions. CoRR AmirPouya Hemmasian, Amir Barati Farimani
2024	J	`jnl`	Pretraining a Neural Operator in Lower Dimensions. Trans. Mach. Learn. Res. AmirPouya Hemmasian, Amir Barati Farimani
2024	J	`jnl`	Query2CAD: Generating CAD models using natural language queries. CoRR Akshay Badagabettu, Sai Sravan Yarlagadda, Amir Barati Farimani
2024	A*	`conf`	SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. ICLR Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
2024	A*	`conf`	SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation. ICRA Alison Bartsch, Charlotte Avra, Amir Barati Farimani
2024	A	`conf`	SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy. IROS Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani
2024	J	`jnl`	SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy. CoRR Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani
2024	J	`jnl`	Strategies for Pretraining Neural Operators. CoRR Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, Amir Barati Farimani
2024	J	`jnl`	Strategies for Pretraining Neural Operators. Trans. Mach. Learn. Res. Anthony Y. Zhou, Cooper Lorsung, AmirPouya Hemmasian, Amir Barati Farimani
2024	J	`jnl`	Text2PDE: Latent Diffusion Models for Accessible Physics Simulation. CoRR Anthony Y. Zhou, Zijie Li, Michael Schneier, John R. Buchanan Jr., Amir Barati Farimani
2024	J	`jnl`	ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning. CoRR Peter Myung-Won Pak, Francis Ogoke, Andrew Polonsky, Anthony Garland, Dan S. Bolintineanu, Dan R. Moser, Michael J. Heiden, Amir Barati Farimani
2024	J	`jnl`	Visuo-Tactile Pretraining for Cable Plugging. CoRR Abraham George, Selam Gano, Pranav Katragadda, Amir Barati Farimani
2024	J	`jnl`	Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models. CoRR Dule Shu, Amir Barati Farimani
2023	J	`jnl`	A physics-informed diffusion model for high-fidelity flow field reconstruction. J. Comput. Phys. Dule Shu, Zijie Li, Amir Barati Farimani
2023	J	`jnl`	Activity Map and Transition Pathways of G Protein-Coupled Receptor Revealed by Machine Learning. J. Chem. Inf. Model. Parisa Mollaei, Amir Barati Farimani
2023	J	`jnl`	Airfoil GAN: encoding and synthesizing airfoils for aerodynamic shape optimization. J. Comput. Des. Eng. Yuyang Wang, Kenji Shimada, Amir Barati Farimani
2023	J	`jnl`	Catalyst Property Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models. CoRR Janghoon Ock, Chakradhar Guntuboina, Amir Barati Farimani
2023	J	`jnl`	Denoise Pre-training on Non-equilibrium Molecules for Accurate and Transferable Neural Potentials. CoRR Yuyang Wang, Changwen Xu, Zijie Li, Amir Barati Farimani
2023	J	`jnl`	FaultFormer: Pretraining Transformers for Adaptable Bearing Fault Classification. CoRR Anthony Y. Zhou, Amir Barati Farimani
2023	J	`jnl`	Fluid Property Prediction Leveraging AI and Robotics. CoRR Jong Hoon Park, Gauri Pramod Dalwankar, Alison Bartsch, Abraham George, Amir Barati Farimani
2023	J	`jnl`	GPCR-BERT: Interpreting Sequential Design of G Protein Coupled Receptors Using Protein Language Models. CoRR Seongwon Kim, Parisa Mollaei, Akshay Antony, Rishikesh Magar, Amir Barati Farimani
2023	J	`jnl`	GPT-MolBERTa: GPT Molecular Features Language Model for molecular property prediction. CoRR Suryanarayanan Balaji, Rishikesh Magar, Yayati Jadhav, Amir Barati Farimani
2023	J	`jnl`	HNO: Hyena Neural Operator for solving PDEs. CoRR Saurabh Patil, Zijie Li, Amir Barati Farimani
2023	J	`jnl`	Identification of parametric dynamical systems using integer programming. Expert Syst. Appl. Kazem Meidani, Amir Barati Farimani
2023	J	`jnl`	Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion. CoRR Francis Ogoke, Quanliang Liu, Olabode Ajenifujah, Alexander Myers, Guadalupe Quirarte, Jack L. Beuth, Jonathan Malen, Amir Barati Farimani
2023	—	`conf`	Inverse Lighting with Differentiable Physically-Based Model. LION Kazem Meidani, Igor Borovikov, Amir Barati Farimani, Harold Chaput
2023	J	`jnl`	ManufacturingNet: A machine learning toolbox for engineers. SoftwareX Akshay Antony, Chakradhar Guntuboina, Rishikesh Magar, Lalit Ghule, Ruchit Doshi, Aman Khalid, Sharan Seshadri, Amir Barati Farimani
2023	J	`jnl`	Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction. CoRR Hongshuo Huang, Rishikesh Magar, Changwen Xu, Amir Barati Farimani
2023	A*	`conf`	Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning. ICRA Abraham George, Alison Bartsch, Amir Barati Farimani
2023	J	`jnl`	Multi-scale Time-stepping of Partial Differential Equations with Transformers. CoRR AmirPouya Hemmasian, Amir Barati Farimani
2023	J	`jnl`	Neural Network Predicts Ion Concentration Profiles under Nanoconfinement. CoRR Zhonglin Cao, Yuyang Wang, Cooper Lorsung, Amir Barati Farimani
2023	J	`jnl`	One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers. CoRR Abraham George, Amir Barati Farimani
2023	J	`jnl`	OpenVR: Teleoperation for Manipulation. CoRR Abraham George, Alison Bartsch, Amir Barati Farimani
2023	J	`jnl`	PeptideBERT: A Language Model based on Transformers for Peptide Property Prediction. CoRR Chakradhar Guntuboina, Adrita Das, Parisa Mollaei, Seongwon Kim, Amir Barati Farimani
2023	J	`jnl`	Physics Informed Token Transformer. CoRR Cooper Lorsung, Zijie Li, Amir Barati Farimani
2023	J	`jnl`	Pour me a drink: Robotic Precision Pouring Carbonated Beverages into Transparent Containers. CoRR Feiya Zhu, Shuo Hu, Letian Leng, Alison Bartsch, Abraham George, Amir Barati Farimani
2023	J	`jnl`	RoboChop: Autonomous Framework for Fruit and Vegetable Chopping Leveraging Foundational Models. CoRR Atharva Dikshit, Alison Bartsch, Abraham George, Amir Barati Farimani
2023	J	`jnl`	SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training. CoRR Kazem Meidani, Parshin Shojaee, Chandan K. Reddy, Amir Barati Farimani
2023	A*	`conf`	Scalable Transformer for PDE Surrogate Modeling. NeurIPS Zijie Li, Dule Shu, Amir Barati Farimani
2023	J	`jnl`	Scalable Transformer for PDE Surrogate Modeling. CoRR Zijie Li, Dule Shu, Amir Barati Farimani
2023	J	`jnl`	SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation. CoRR Alison Bartsch, Charlotte Avra, Amir Barati Farimani
2023	J	`jnl`	Transformer for Partial Differential Equations' Operator Learning. Trans. Mach. Learn. Res. Zijie Li, Kazem Meidani, Amir Barati Farimani
2023	A*	`conf`	Transformer-based Planning for Symbolic Regression. NeurIPS Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy
2023	J	`jnl`	Transformer-based Planning for Symbolic Regression. CoRR Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy
2022	J	`jnl`	A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction. CoRR Dule Shu, Zijie Li, Amir Barati Farimani
2022	J	`jnl`	Adaptive grey wolf optimizer. Neural Comput. Appl. Kazem Meidani, AmirPouya Hemmasian, Seyedali Mirjalili, Amir Barati Farimani
2022	J	`jnl`	AugLiChem: data augmentation library of chemical structures for machine learning. Mach. Learn. Sci. Technol. Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani
2022	J	`jnl`	Crystal Twins: Self-supervised Learning for Crystalline Material Property Prediction. CoRR Rishikesh Magar, Yuyang Wang, Amir Barati Farimani
2022	J	`jnl`	Deep-Learned Generators of Porosity Distributions Produced During Metal Additive Manufacturing. CoRR Francis Ogoke, Kyle Johnson, Michael Glinsky, Chris Laursen, Sharlotte Kramer, Amir Barati Farimani
2022	J	`jnl`	Dominant motion identification of multi-particle system using deep learning from video. Neural Comput. Appl. Yayati Jadhav, Amir Barati Farimani
2022	J	`jnl`	Forecasting COVID-19 new cases using deep learning methods. Comput. Biol. Medicine Lu Xu, Rishikesh Magar, Amir Barati Farimani
2022	J	`jnl`	Graph Neural Networks for Molecules. CoRR Yuyang Wang, Zijie Li, Amir Barati Farimani
2022	J	`jnl`	Graph neural network-accelerated Lagrangian fluid simulation. Comput. Graph. Zijie Li, Amir Barati Farimani
2022	J	`jnl`	Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. CoRR Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani
2022	J	`jnl`	Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast. J. Chem. Inf. Model. Yuyang Wang, Rishikesh Magar, Chen Liang, Amir Barati Farimani
2022	J	`jnl`	MAB-OS: Multi-Armed Bandits Metaheuristic Optimizer Selection. Appl. Soft Comput. Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
2022	J	`jnl`	MAN: Multi-Action Networks Learning. CoRR Keqin Wang, Alison Bartsch, Amir Barati Farimani
2022	J	`jnl`	MOFormer: Self-Supervised Transformer model for Metal-Organic Framework Property Prediction. CoRR Zhonglin Cao, Rishikesh Magar, Yuyang Wang, Amir Barati Farimani
2022	J	`jnl`	Mechanical Properties Prediction in Metal Additive Manufacturing Using Machine Learning. CoRR Parand Akbari, Ning-Yu Kao, Amir Barati Farimani
2022	J	`jnl`	MeltpoolNet: Melt pool Characteristic Prediction in Metal Additive Manufacturing Using Machine Learning. CoRR Parand Akbari, Francis Ogoke, Ning-Yu Kao, Kazem Meidani, Chun-Yu Yeh, William Lee, Amir Barati Farimani
2022	J	`jnl`	MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics. CoRR Cooper Lorsung, Amir Barati Farimani
2022	J	`jnl`	Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning. CoRR Abraham George, Alison Bartsch, Amir Barati Farimani
2022	J	`jnl`	Molecular contrastive learning of representations via graph neural networks. Nat. Mach. Intell. Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani
2022	J	`jnl`	Online metaheuristic algorithm selection. Expert Syst. Appl. Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
2022	J	`jnl`	Predicting CO CoRR Yue Jian, Yuyang Wang, Amir Barati Farimani
2022	A*	`conf`	Prototype memory and attention mechanisms for few shot image generation. ICLR Tianqin Li, Zijie Li, Andrew Luo, Harold Rockwell, Amir Barati Farimani, Tai Sing Lee
2022	J	`jnl`	Surrogate Modeling of Melt Pool Thermal Field using Deep Learning. CoRR AmirPouya Hemmasian, Francis Ogoke, Parand Akbari, Jonathan Malen, Jack L. Beuth, Amir Barati Farimani
2022	A*	`conf`	TPU-GAN: Learning temporal coherence from dynamic point cloud sequences. ICLR Zijie Li, Tianqin Li, Amir Barati Farimani
2022	J	`jnl`	TransPolymer: a Transformer-based Language Model for Polymer Property Predictions. CoRR Changwen Xu, Yuyang Wang, Amir Barati Farimani
2022	J	`jnl`	Transformer for Partial Differential Equations' Operator Learning. CoRR Zijie Li, Kazem Meidani, Amir Barati Farimani
2022	J	`jnl`	VecMetaPy: A vectorized framework for metaheuristic optimization in Python. Adv. Eng. Softw. AmirPouya Hemmasian, Kazem Meidani, Seyedali Mirjalili, Amir Barati Farimani
2021	J	`jnl`	Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization. CoRR Yuyang Wang, Kenji Shimada, Amir Barati Farimani
2021	J	`jnl`	An Energy-Saving Snake Locomotion Gait Policy Using Deep Reinforcement Learning. CoRR Yilang Liu, Amir Barati Farimani
2021	J	`jnl`	AugLiChem: Data Augmentation Library ofChemical Structures for Machine Learning. CoRR Rishikesh Magar, Yuyang Wang, Cooper Lorsung, Chen Liang, Hariharan Ramasubramanian, Peiyuan Li, Amir Barati Farimani
2021	J	`jnl`	Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations. CoRR Pranshu Pant, Ruchit Doshi, Pranav Bahl, Amir Barati Farimani
2021	J	`jnl`	Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination. CoRR Yuyang Wang, Zhonglin Cao, Amir Barati Farimani
2021	J	`jnl`	Deep learning of material transport in complex neurite networks. CoRR Angran Li, Amir Barati Farimani, Yongjie Jessica Zhang
2021	J	`jnl`	Deep reinforcement learning for predicting kinetic pathways to surface reconstruction in a ternary alloy. Mach. Learn. Sci. Technol. Junwoong Yoon, Zhonglin Cao, Rajesh K. Raju, Yuyang Wang, Robert Burnley, Andrew J. Gellman, Amir Barati Farimani, Zachary W. Ulissi
2021	J	`jnl`	Dominant motion identification of multi-particle system using deep learning from video. CoRR Yayati Jadhav, Amir Barati Farimani
2021	J	`jnl`	FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification. IEEE Access Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani
2021	J	`jnl`	Graph Neural Networks Accelerated Molecular Dynamics. CoRR Zijie Li, Kazem Meidani, Prakarsh Yadav, Amir Barati Farimani
2021	J	`jnl`	Graph convolutional networks applied to unstructured flow field data. Mach. Learn. Sci. Technol. Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani
2021	J	`jnl`	Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting. Sensors Phil M. Smith, Indorica Sutradhar, Maxwell Telmer, Rishikesh Magar, Amir Barati Farimani, B. Reeja-Jayan
2021	J	`jnl`	MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks. CoRR Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani
2021	J	`jnl`	Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning. CoRR Francis Ogoke, Amir Barati Farimani
2021	J	`jnl`	Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering. Comput. Biol. Medicine Baishali Mullick, Rishikesh Magar, Aastha Jhunjhunwala, Amir Barati Farimani
2020	J	`jnl`	Data-driven Identification of 2D Partial Differential Equations using extracted physical features. CoRR Kazem Meidani, Amir Barati Farimani
2020	J	`jnl`	Deep Learning Convective Flow Using Conditional Generative Adversarial Networks. CoRR Changlin Jiang, Amir Barati Farimani
2020	J	`jnl`	Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data. CoRR Pranshu Pant, Amir Barati Farimani
2020	J	`jnl`	Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods. CoRR Juan Carlos Vargas, Lazar Andjelic, Amir Barati Farimani
2020	J	`jnl`	FaultNet: A Deep Convolutional Neural Network for bearing fault classification. CoRR Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani
2020	J	`jnl`	Graph Convolutional Neural Networks for Body Force Prediction. CoRR Francis Ogoke, Kazem Meidani, Amirreza Hashemi, Amir Barati Farimani
2020	J	`jnl`	Orbital Graph Convolutional Neural Network for Material Property Prediction. CoRR Mohammadreza Karamad, Rishikesh Magar, Yuting Shi, Samira Siahrostami, Ian Donald Gates, Amir Barati Farimani
2020	J	`jnl`	Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning. CoRR Rishikesh Magar, Prakarsh Yadav, Amir Barati Farimani
2020	J	`jnl`	StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction. CoRR Haoliang Jiang, Zhenguo Nie, Roselyn Yeo, Amir Barati Farimani, Levent Burak Kara
2019	—	`conf`	Bio-inspired Stochastic Growth and Initialization for Artificial Neural Networks. Living Machines Kevin Dai, Amir Barati Farimani, Victoria A. Webster-Wood
2019	J	`jnl`	Creativity in Robot Manipulation with Deep Reinforcement Learning. CoRR Juan Carlos Vargas, Malhar Bhoite, Amir Barati Farimani
2018	J	`jnl`	Deep Learning Phase Segregation. CoRR Amir Barati Farimani, Joseph Gomes, Rishi Sharma, Franklin L. Lee, Vijay S. Pande
2018	J	`jnl`	Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss. CoRR Rishi Sharma, Amir Barati Farimani, Joe Gomes, Peter K. Eastman, Vijay S. Pande
2017	J	`jnl`	Deep Learning the Physics of Transport Phenomena. CoRR Amir Barati Farimani, Joseph Gomes, Vijay S. Pande