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ORCIDAmir Barati Farimani
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2020 – today
- 2023
[j20]Kazem Meidani
, Amir Barati Farimani:
Identification of parametric dynamical systems using integer programming. Expert Syst. Appl. 219: 119622 (2023)- [j19]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) - [j18]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) - [j17]Dule Shu, Zijie Li, Amir Barati Farimani:
A physics-informed diffusion model for high-fidelity flow field reconstruction. J. Comput. Phys. 478: 111972 (2023) - [j16]Zijie Li, Kazem Meidani, Amir Barati Farimani:
Transformer for Partial Differential Equations' Operator Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Abraham George, Alison Bartsch, Amir Barati Farimani:
Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning. ICRA 2023: 5027-5033 - [i53]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) - [i52]Parshin Shojaee, Kazem Meidani, Amir Barati Farimani, Chandan K. Reddy:
Transformer-based Planning for Symbolic Regression. CoRR abs/2303.06833 (2023) - [i51]Zhonglin Cao, Yuyang Wang, Cooper Lorsung, Amir Barati Farimani:
Neural Network Predicts Ion Concentration Profiles under Nanoconfinement. CoRR abs/2304.04896 (2023) - [i50]Cooper Lorsung, Zijie Li, Amir Barati Farimani:
Physics Informed Token Transformer. CoRR abs/2305.08757 (2023) - [i49]Abraham George, Alison Bartsch, Amir Barati Farimani:
OpenVR: Teleoperation for Manipulation. CoRR abs/2305.09765 (2023) - [i48]Zijie Li, Dule Shu, Amir Barati Farimani:
Scalable Transformer for PDE Surrogate Modeling. CoRR abs/2305.17560 (2023) - [i47]Saurabh Patil, Zijie Li, Amir Barati Farimani:
HNO: Hyena Neural Operator for solving PDEs. CoRR abs/2306.16524 (2023) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]Alison Bartsch, Charlotte Avra, Amir Barati Farimani:
SculptBot: Pre-Trained Models for 3D Deformable Object Manipulation. CoRR abs/2309.08728 (2023) - [i40]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) - [i39]Abraham George, Amir Barati Farimani:
One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers. CoRR abs/2309.10175 (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 D. 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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last updated on 2023-09-28 03:06 CEST by the dblp team
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