Amir Barati Farimani

According to our database1, Amir Barati Farimani authored at least 23 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Isolating Specific vs. Non-Specific Binding Responses in Conducting Polymer Biosensors for Bio-Fingerprinting.
Sensors, 2021

Deep Learning for Reduced Order Modelling and Efficient Temporal Evolution of Fluid Simulations.
CoRR, 2021

Dominant motion identification of multi-particle system using deep learning from video.
CoRR, 2021

Deep learning of material transport in complex neurite networks.
CoRR, 2021

An Energy-Saving Snake Locomotion Gait Policy Using Deep Reinforcement Learning.
CoRR, 2021

MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks.
CoRR, 2021

Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning.
CoRR, 2021

Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination.
CoRR, 2021

Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization.
CoRR, 2021

FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification.
IEEE Access, 2021

Graph Convolutional Neural Networks for Body Force Prediction.
CoRR, 2020

Deep Learning for Efficient Reconstruction of High-Resolution Turbulent DNS Data.
CoRR, 2020

Data-driven Identification of 2D Partial Differential Equations using extracted physical features.
CoRR, 2020

Orbital Graph Convolutional Neural Network for Material Property Prediction.
CoRR, 2020

StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction.
CoRR, 2020

Deep Learning Convective Flow Using Conditional Generative Adversarial Networks.
CoRR, 2020

Potential Neutralizing Antibodies Discovered for Novel Corona Virus Using Machine Learning.
CoRR, 2020

Effects of sparse rewards of different magnitudes in the speed of learning of model-based actor critic methods.
CoRR, 2020

Creativity in Robot Manipulation with Deep Reinforcement Learning.
CoRR, 2019

Bio-inspired Stochastic Growth and Initialization for Artificial Neural Networks.
Proceedings of the Biomimetic and Biohybrid Systems - 8th International Conference, 2019

Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss.
CoRR, 2018

Deep Learning Phase Segregation.
CoRR, 2018

Deep Learning the Physics of Transport Phenomena.
CoRR, 2017