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Machine learning force fields and coarse-grained variables in molecular dynamics: application to materials and biological systems | 2020 | Journal of chemical theory and computation 16 (8), 4757-4775, 2020 | 175 | aH52nxkAAAAJ:NXb4pA-qfm4C | Farimani | Mechanical Engineering | [
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ManufacturingNet: A machine learning toolbox for engineers | 2023 | SoftwareX 23, 101478, 2023 | 1 | aH52nxkAAAAJ:1Ye0OR6EYb4C | Farimani | Mechanical Engineering | [
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Masked Autoencoders are PDE Learners | 2024 | arXiv preprint arXiv:2403.17728, 2024 | 1 | aH52nxkAAAAJ:TlpoogIpr_IC | Farimani | Mechanical Engineering | [
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Masked pretraining strategy for neural potentials | 2024 | AIP Advances 14 (9), 2024 | 0 | aH52nxkAAAAJ:zdjWy_NXXwUC | Farimani | Mechanical Engineering | [
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Materials informatics transformer: A language model for interpretable materials properties prediction | 2023 | arXiv preprint arXiv:2308.16259, 2023 | 6 | aH52nxkAAAAJ:mKu_rENv82IC | Farimani | Mechanical Engineering | [
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Mechanical behavior of water filled C60 | 2013 | Applied Physics Letters 103 (26), 2013 | 14 | aH52nxkAAAAJ:Tyk-4Ss8FVUC | Farimani | Mechanical Engineering | [
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Mechanically modulated electronic properties of water-filled fullerenes | 2015 | Mrs Communications 5 (2), 305-310, 2015 | 13 | aH52nxkAAAAJ:p__nRnzSRKYC | Farimani | Mechanical Engineering | [
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Mechanisms for hydrolysis of silicon nanomembranes as used in bioresorbable electronics | 2015 | Adv. Mater 27 (11), 1857-1864, 2015 | 125 | aH52nxkAAAAJ:Z5m8FVwuT1cC | Farimani | Mechanical Engineering | [
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MeltpoolNet: Melt pool characteristic prediction in Metal Additive Manufacturing using machine learning | 2022 | Additive Manufacturing 55, 102817, 2022 | 91 | aH52nxkAAAAJ:uDGL6kOW6j0C | Farimani | Mechanical Engineering | [
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Mesh deep Q network: A deep reinforcement learning framework for improving meshes in computational fluid dynamics | 2023 | AIP Advances 13 (1), 2023 | 13 | aH52nxkAAAAJ:kw52XkFRtyQC | Farimani | Mechanical Engineering | [
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Methods for engineering and use of ciliated organoids having native-like, apical-out polarity | 2024 | US Patent App. 18/568,091, 2024 | 0 | aH52nxkAAAAJ:qwy9JoKyICEC | Farimani | Mechanical Engineering | [
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Minimizing human assistance: Augmenting a single demonstration for deep reinforcement learning | 2023 | 2023 IEEE International Conference on Robotics and Automation (ICRA), 5027-5033, 2023 | 4 | aH52nxkAAAAJ:BzfGm06jWhQC | Farimani | Mechanical Engineering | [
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Molecular contrastive learning of representations via graph neural networks | 2022 | Nature Machine Intelligence, 279–287, 2022 | 539 | aH52nxkAAAAJ:Ak0FvsSvgGUC | Farimani | Mechanical Engineering | [
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Multi-Peptide: Multimodality Leveraged Language-Graph Learning of Peptide Properties | 2024 | arXiv preprint arXiv:2407.03380, 2024 | 1 | aH52nxkAAAAJ:8Xgff_V0N9gC | Farimani | Mechanical Engineering | [
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Multi-scale time-stepping of Partial Differential Equations with transformers | 2024 | Computer Methods in Applied Mechanics and Engineering 426, 116983, 2024 | 6 | aH52nxkAAAAJ:w1MjKQ0l0TYC | Farimani | Mechanical Engineering | [
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Multimodal Language and Graph Learning of Adsorption Configuration in Catalysis | 2024 | arXiv preprint arXiv:2401.07408, 2024 | 4 | aH52nxkAAAAJ:kF1pexMAQbMC | Farimani | Mechanical Engineering | [
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Multimodal learning of heat capacity based on transformers and crystallography pretraining | 2024 | Journal of Applied Physics 135 (16), 2024 | 2 | aH52nxkAAAAJ:JTqpx9DYBaYC | Farimani | Mechanical Engineering | [
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Multiscale modeling of droplet interface bilayer membrane networks | 2015 | Biomicrofluidics 9 (6), 2015 | 18 | aH52nxkAAAAJ:ILKRHgRFtOwC | Farimani | Mechanical Engineering | [
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] |
Nano-electro-mechanical pump: Giant pumping of water in carbon nanotubes | 2016 | Scientific reports 6 (1), 26211, 2016 | 24 | aH52nxkAAAAJ:TIZ-Mc8IlK0C | Farimani | Mechanical Engineering | [
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Nanopores for detecting and sensing biological molecules | 2015 | University of Illinois at Urbana-Champaign, 2015 | 0 | aH52nxkAAAAJ:LI9QrySNdTsC | Farimani | Mechanical Engineering | [
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Neural network predicts ion concentration profiles under nanoconfinement | 2023 | The Journal of Chemical Physics 159 (9), 2023 | 1 | aH52nxkAAAAJ:L1USKYWJimsC | Farimani | Mechanical Engineering | [
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Numerical and experimental analysis of wind erosion on a sinusoidal pile | 2011 | Environmental fluid mechanics 11, 167-181, 2011 | 13 | aH52nxkAAAAJ:9yKSN-GCB0IC | Farimani | Mechanical Engineering | [
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One ACT Play: Single Demonstration Behavior Cloning with Action Chunking Transformers | 2023 | arXiv preprint arXiv:2309.10175, 2023 | 9 | aH52nxkAAAAJ:kWvqk_afx_IC | Farimani | Mechanical Engineering | [
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Online metaheuristic algorithm selection | 2022 | Expert Systems with Applications 201, 117058, 2022 | 15 | aH52nxkAAAAJ:sJsF-0ZLhtgC | Farimani | Mechanical Engineering | [
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Openvr: Teleoperation for manipulation | 2023 | arXiv preprint arXiv:2305.09765, 2023 | 9 | aH52nxkAAAAJ:1yWc8FF-_SYC | Farimani | Mechanical Engineering | [
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Orbital graph convolutional neural network for material property prediction | 2020 | Physical Review Materials 4 (9), 093801, 2020 | 127 | aH52nxkAAAAJ:_5tno0g5mFcC | Farimani | Mechanical Engineering | [
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Ozark graphene nanopore for efficient water desalination | 2021 | The Journal of Physical Chemistry B 125 (40), 11256-11263, 2021 | 30 | aH52nxkAAAAJ:Ehil0879vHcC | Farimani | Mechanical Engineering | [
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PLATO: Planning with LLMs and Affordances for Tool Manipulation | 2024 | arXiv preprint arXiv:2409.11580, 2024 | 0 | aH52nxkAAAAJ:X9ykpCP0fEIC | Farimani | Mechanical Engineering | [
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Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic Supervision | 2024 | arXiv preprint arXiv:2410.19222, 2024 | 0 | aH52nxkAAAAJ:RJOyoaXV5v8C | Farimani | Mechanical Engineering | [
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Peptidebert: A language model based on transformers for peptide property prediction | 2023 | The Journal of Physical Chemistry Letters 14 (46), 10427-10434, 2023 | 19 | aH52nxkAAAAJ:PyEswDtIyv0C | Farimani | Mechanical Engineering | [
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Physics informed token transformer for solving partial differential equations | 2024 | Machine Learning: Science and Technology 5 (1), 015032, 2024 | 12 | aH52nxkAAAAJ:BrOSOlqYqPUC | Farimani | Mechanical Engineering | [
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Picl: Physics informed contrastive learning for partial differential equations | 2024 | arXiv preprint arXiv:2401.16327, 2024 | 3 | aH52nxkAAAAJ:kzcSZmkxUKAC | Farimani | Mechanical Engineering | [
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Potential neutralizing antibodies discovered for novel corona virus using machine learning | 2021 | Scientific reports 11 (1), 5261, 2021 | 122 | aH52nxkAAAAJ:anf4URPfarAC | Farimani | Mechanical Engineering | [
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Predicting CO2 Absorption in Ionic Liquids with Molecular Descriptors and Explainable Graph Neural Networks | 2022 | ACS Sustainable Chemistry & Engineering 10 (50), 16681-16691, 2022 | 23 | aH52nxkAAAAJ:U4n9YNQMCAIC | Farimani | Mechanical Engineering | [
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Predicting interannual variability of climate using deep learning | 2019 | APS division of fluid dynamics meeting abstracts, G20. 007, 2019 | 4 | aH52nxkAAAAJ:YohjEiUPhakC | Farimani | Mechanical Engineering | [
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Prediction of GPCR activity using machine learning | 2022 | Computational and Structural Biotechnology Journal 20, 2564-2573, 2022 | 23 | aH52nxkAAAAJ:jL-93Qbq4QoC | Farimani | Mechanical Engineering | [
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Pretraining Strategies for Structure Agnostic Material Property Prediction | 2024 | Journal of Chemical Information and Modeling 64 (3), 627-637, 2024 | 3 | aH52nxkAAAAJ:5bg8sr1QxYwC | Farimani | Mechanical Engineering | [
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Pretraining a Neural Operator in Lower Dimensions | 2024 | arXiv preprint arXiv:2407.17616, 2024 | 1 | aH52nxkAAAAJ:2v_ZtQDX9iAC | Farimani | Mechanical Engineering | [
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Prototype memory and attention mechanisms for few shot image generation | 2022 | Proceedings of the Eleventh International Conference on Learning …, 2022 | 23 | aH52nxkAAAAJ:lvd772isFD0C | Farimani | Mechanical Engineering | [
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Query2CAD: Generating CAD models using natural language queries | 2024 | arXiv preprint arXiv:2406.00144, 2024 | 1 | aH52nxkAAAAJ:sA9dB-pw3HoC | Farimani | Mechanical Engineering | [
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Reaction diffusion system prediction based on convolutional neural network | 2020 | Scientific reports 10 (1), 3894, 2020 | 77 | aH52nxkAAAAJ:LO7wyVUgiFcC | Farimani | Mechanical Engineering | [
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Reduced thermal conductivity of supported and encased monolayer and bilayer MoS2 | 2020 | 2D Materials 8 (1), 011001, 2020 | 41 | aH52nxkAAAAJ:6ZxmRoH8BuwC | Farimani | Mechanical Engineering | [
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Reduced-order modeling of fluid flows with transformers | 2023 | Physics of Fluids 35 (5), 2023 | 21 | aH52nxkAAAAJ:WC9gN4BGCRcC | Farimani | Mechanical Engineering | [
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RoboCup@ Home 2009-Senior Robocit (Iran) | null | 0 | aH52nxkAAAAJ:AvfA0Oy_GE0C | Farimani | Mechanical Engineering | [
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|
Robochop: Autonomous framework for fruit and vegetable chopping leveraging foundational models | 2023 | arXiv preprint arXiv:2307.13159, 2023 | 10 | aH52nxkAAAAJ:jFemdcug13IC | Farimani | Mechanical Engineering | [
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Rotational motion of a single water molecule in a buckyball | 2013 | Physical Chemistry Chemical Physics 15 (41), 17993-18000, 2013 | 79 | aH52nxkAAAAJ:IjCSPb-OGe4C | Farimani | Mechanical Engineering | [
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Scalable transformer for pde surrogate modeling | 2024 | Advances in Neural Information Processing Systems 36, 2024 | 31 | aH52nxkAAAAJ:6bLC7aUMtPcC | Farimani | Mechanical Engineering | [
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SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy | 2024 | arXiv preprint arXiv:2403.10401, 2024 | 3 | aH52nxkAAAAJ:69ZgNCALVd0C | Farimani | Mechanical Engineering | [
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Sculptbot: Pre-trained models for 3d deformable object manipulation | 2024 | 2024 IEEE International Conference on Robotics and Automation (ICRA), 12548 …, 2024 | 8 | aH52nxkAAAAJ:RoXSNcbkSzsC | Farimani | Mechanical Engineering | [
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Simultaneous Electrochemical Exfoliation and Covalent Functionalization of MoS2 Membrane for Ion Sieving | 2022 | Advanced Materials 34 (26), 2201416, 2022 | 70 | aH52nxkAAAAJ:4X0JR2_MtJMC | Farimani | Mechanical Engineering | [
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Snip: Bridging mathematical symbolic and numeric realms with unified pre-training | 2024 | International Conference on Learning Representation, 2024 | 10 | aH52nxkAAAAJ:1DsIQWDZLl8C | Farimani | Mechanical Engineering | [
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Solution-phase conformation and dynamics of conjugated isoindigo-based donor–acceptor polymer single chains | 2017 | The Journal of Physical Chemistry Letters 8 (22), 5479-5486, 2017 | 32 | aH52nxkAAAAJ:S16KYo8Pm5AC | Farimani | Mechanical Engineering | [
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Spatial diffusion of water in carbon nanotubes: from fickian to ballistic motion | 2011 | The Journal of Physical Chemistry B 115 (42), 12145-12149, 2011 | 209 | aH52nxkAAAAJ:u5HHmVD_uO8C | Farimani | Mechanical Engineering | [
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Strategies for Pretraining Neural Operators | 2024 | arXiv preprint arXiv:2406.08473, 2024 | 2 | aH52nxkAAAAJ:DyXnQzXoVgIC | Farimani | Mechanical Engineering | [
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StressD: 2D Stress estimation using denoising diffusion model | 2023 | Computer Methods in Applied Mechanics and Engineering 416, 116343, 2023 | 22 | aH52nxkAAAAJ:Ade32sEp0pkC | Farimani | Mechanical Engineering | [
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Stressgan: A generative deep learning model for two-dimensional stress distribution prediction | 2021 | Journal of Applied Mechanics 88 (5), 051005, 2021 | 110 | aH52nxkAAAAJ:umqufdRvDiIC | Farimani | Mechanical Engineering | [
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Surrogate modeling of melt pool temperature field using deep learning | 2023 | Additive Manufacturing Letters 5, 100123, 2023 | 26 | aH52nxkAAAAJ:MhiOAD_qIWkC | Farimani | Mechanical Engineering | [
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TPU-GAN: Learning temporal coherence from dynamic point cloud sequences | 2021 | International Conference on Learning Representations, 2021 | 2 | aH52nxkAAAAJ:fbc8zXXH2BUC | Farimani | Mechanical Engineering | [
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Text2PDE: Latent Diffusion Models for Accessible Physics Simulation | 2024 | arXiv preprint arXiv:2410.01153, 2024 | 0 | aH52nxkAAAAJ:wE-fMHVdjMkC | Farimani | Mechanical Engineering | [
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The diffusion mechanism of water in conductive metal–organic frameworks | 2022 | Physical Chemistry Chemical Physics 24 (40), 24852-24859, 2022 | 5 | aH52nxkAAAAJ:jgBuDB5drN8C | Farimani | Mechanical Engineering | [
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The role of external defects in chemical sensing of graphene field-effect transistors | 2013 | Nano letters 13 (5), 1962-1968, 2013 | 166 | aH52nxkAAAAJ:u-x6o8ySG0sC | Farimani | Mechanical Engineering | [
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Thermal boundary conductance of the MOS2-SiO2interface | 2017 | 2017 IEEE 17th International Conference on Nanotechnology (IEEE-NANO), 26-29, 2017 | 5 | aH52nxkAAAAJ:i2xiXl-TujoC | Farimani | Mechanical Engineering | [
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Thermal boundary conductance of two-dimensional MoS2 interfaces | 2019 | Journal of Applied Physics 126 (5), 2019 | 50 | aH52nxkAAAAJ:5qfkUJPXOUwC | Farimani | Mechanical Engineering | [
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Thermal control of laser powder bed fusion using deep reinforcement learning | 2021 | Additive Manufacturing 46, 102033, 2021 | 81 | aH52nxkAAAAJ:bKqednn6t2AC | Farimani | Mechanical Engineering | [
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Thermal transport in from molecular dynamics using different empirical potentials | 2019 | Physical Review B 99 (5), 054303, 2019 | 75 | aH52nxkAAAAJ:ClCfbGk0d_YC | Farimani | Mechanical Engineering | [
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ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning | 2024 | arXiv preprint arXiv:2404.16882, 2024 | 2 | aH52nxkAAAAJ:UuEBAcK4md4C | Farimani | Mechanical Engineering | [
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Thermodynamic insight into spontaneous hydration and rapid water permeation in aquaporins | 2014 | Applied physics letters 105 (8), 2014 | 41 | aH52nxkAAAAJ:uWiczbcajpAC | Farimani | Mechanical Engineering | [
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Three-dimensional ship hull encoding and optimization via deep neural networks | 2022 | Journal of Mechanical Design 144 (10), 101701, 2022 | 13 | aH52nxkAAAAJ:0CzhzZyukY4C | Farimani | Mechanical Engineering | [
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Titanium carbide MXene for water desalination: a molecular dynamics study | 2021 | ACS Applied Nano Materials 4 (6), 6145-6151, 2021 | 62 | aH52nxkAAAAJ:yMeIxYmEMEAC | Farimani | Mechanical Engineering | [
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TransPolymer: a Transformer-based language model for polymer property predictions | 2023 | npj Computational Materials 9 (1), 64, 2023 | 53 | aH52nxkAAAAJ:ALROH1vI_8AC | Farimani | Mechanical Engineering | [
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Transformer for partial differential equations' operator learning | 2022 | Transactions on Machine Learning Research, 2022 | 111 | aH52nxkAAAAJ:4xDN1ZYqzskC | Farimani | Mechanical Engineering | [
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Transformer-based planning for symbolic regression | 2023 | Advances in Neural Information Processing Systems 36, 45907-45919, 2023 | 18 | aH52nxkAAAAJ:owLR8QvbtFgC | Farimani | Mechanical Engineering | [
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Transition metal dichalcogenide-based functional membrane: Synthesis, modification, and water purification applications | 2023 | Matter 6 (1), 59-96, 2023 | 18 | aH52nxkAAAAJ:FiytvqdAVhgC | Farimani | Mechanical Engineering | [
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Ultrathin, transferred layers of thermally grown silicon dioxide as biofluid barriers for biointegrated flexible electronic systems | 2016 | Proceedings of the National Academy of Sciences 113 (42), 11682-11687, 2016 | 216 | aH52nxkAAAAJ:kuK5TVdYjLIC | Farimani | Mechanical Engineering | [
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Understanding mutation hotspots for the SARS-CoV-2 spike protein using Shannon Entropy and K-means clustering | 2021 | Computers in biology and medicine 138, 104915, 2021 | 39 | aH52nxkAAAAJ:nZcligLrVowC | Farimani | Mechanical Engineering | [
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Unveiling Switching Function of Amino Acids in Proteins Using a Machine Learning Approach | 2023 | Journal of Chemical Theory and Computation, 2023 | 4 | aH52nxkAAAAJ:-nhnvRiOwuoC | Farimani | Mechanical Engineering | [
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VecMetaPy: a vectorized framework for metaheuristic optimization in Python | 2022 | Advances in Engineering Software 166, 103092, 2022 | 4 | aH52nxkAAAAJ:5MTHONV0fEkC | Farimani | Mechanical Engineering | [
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Visuo-Tactile Pretraining for Cable Plugging | 2024 | arXiv preprint arXiv:2403.11898, 2024 | 6 | aH52nxkAAAAJ:mWEH9CqjF64C | Farimani | Mechanical Engineering | [
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Water desalination with a single-layer MoS2 nanopore | 2015 | Nature communications 6 (1), 8616, 2015 | 760 | aH52nxkAAAAJ:L7CI7m0gUJcC | Farimani | Mechanical Engineering | [
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] |
Water desalination with two-dimensional metal–organic framework membranes | 2019 | Nano letters 19 (12), 8638-8643, 2019 | 145 | aH52nxkAAAAJ:bz8QjSJIRt4C | Farimani | Mechanical Engineering | [
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Weakly-supervised deep learning of heat transport via physics informed loss | 2018 | arXiv preprint arXiv:1807.11374, 2018 | 71 | aH52nxkAAAAJ:FPJr55Dyh1AC | Farimani | Mechanical Engineering | [
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Which 2D Material is Better for DNA Detection: Graphene, MoS2, or MXene? | 2022 | Nano Letters 22 (19), 7874-7881, 2022 | 18 | aH52nxkAAAAJ:zCSUwVk65WsC | Farimani | Mechanical Engineering | [
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Why is Single-Layer MoS2 a More Energy Efficient Membrane for Water Desalination? | 2020 | ACS Energy Letters 5 (7), 2217-2222, 2020 | 91 | aH52nxkAAAAJ:4hFrxpcac9AC | Farimani | Mechanical Engineering | [
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Zero-Shot Uncertainty Quantification using Diffusion Probabilistic Models | 2024 | arXiv preprint arXiv:2408.04718, 2024 | 0 | aH52nxkAAAAJ:g5Ck-dwhA_QC | Farimani | Mechanical Engineering | [
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A Combined Online Learning/In-Class Activity Approach to Teach Systems Thinking and Systems Engineering Skills to Freshman Engineering Students | 2021 | 2021 ASEE Virtual Annual Conference Content Access, 2021 | 1 | UIS_G1YAAAAJ:D03iK_w7-QYC | Bedillion | Mechanical Engineering | [
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A Comprehensive Approach to Power Plant Toxic Release Inventories | 1998 | PROC A WASTE MANAGE ASSOC ANNU MEET EXHIB, 17, 1998 | 2 | UIS_G1YAAAAJ:WF5omc3nYNoC | Bedillion | Mechanical Engineering | [
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A Programmable Substrate to Study Robots Jumping from Non-rigid Surfaces | 2024 | IEEE Robotics and Automation Letters, 2024 | 0 | UIS_G1YAAAAJ:f2IySw72cVMC | Bedillion | Mechanical Engineering | [
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A distributed manipulation concept using selective braking | 2014 | 2014 American Control Conference, 3322-3328, 2014 | 9 | UIS_G1YAAAAJ:TQgYirikUcIC | Bedillion | Mechanical Engineering | [
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A novel study of head motion hysteresis issues in contact probe recording systems | 2009 | Microsystem technologies 15 (4), 595-606, 2009 | 2 | UIS_G1YAAAAJ:roLk4NBRz8UC | Bedillion | Mechanical Engineering | [
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Actuator Array Dynamics Incorporating Actuator Inertia | 2013 | ASME International Mechanical Engineering Congress and Exposition 56246 …, 2013 | 0 | UIS_G1YAAAAJ:mB3voiENLucC | Bedillion | Mechanical Engineering | [
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Actuator Array Manipulation Using Low Resolution Local Sensing | 2014 | ASME International Mechanical Engineering Congress and Exposition 46476 …, 2014 | 1 | UIS_G1YAAAAJ:e5wmG9Sq2KIC | Bedillion | Mechanical Engineering | [
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Actuator assembly providing two-dimensional movement of a moveable element in a data storage device | 2011 | US Patent 7,924,692, 2011 | 8 | UIS_G1YAAAAJ:_kc_bZDykSQC | Bedillion | Mechanical Engineering | [
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An arduino-based hardware platform for a mechanical engineering sophomore design course | 2018 | 2018 ASEE Annual Conference & Exposition, 2018 | 8 | UIS_G1YAAAAJ:u_35RYKgDlwC | Bedillion | Mechanical Engineering | [
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Building and Revising an Assessment to Measure Students’ Self-Efficacy in Systems Thinking | 2021 | 2021 ASEE Virtual Annual Conference Content Access, 2021 | 1 | UIS_G1YAAAAJ:yD5IFk8b50cC | Bedillion | Mechanical Engineering | [
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Charge-based scanning probe readback of nanometer-scale ferroelectric domain patterns at megahertz rates | 2009 | Nanotechnology 20 (22), 225501, 2009 | 21 | UIS_G1YAAAAJ:d1gkVwhDpl0C | Bedillion | Mechanical Engineering | [
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Comparison of suspension-based and slider-based microactuators for track following performance | 2004 | The 8th IEEE International Workshop on Advanced Motion Control, 2004. AMC'04 …, 2004 | 4 | UIS_G1YAAAAJ:UeHWp8X0CEIC | Bedillion | Mechanical Engineering | [
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Control for a Two-Link Planar Robot With an Actuated Tail | 2018 | ASME International Mechanical Engineering Congress and Exposition 52033 …, 2018 | 1 | UIS_G1YAAAAJ:GnPB-g6toBAC | Bedillion | Mechanical Engineering | [
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Control for actuator arrays | 2009 | The International Journal of Robotics Research 28 (7), 868-882, 2009 | 12 | UIS_G1YAAAAJ:LkGwnXOMwfcC | Bedillion | Mechanical Engineering | [
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Control for robots with braking actuators in a uniform force field | 2015 | ASME International Mechanical Engineering Congress and Exposition 57397 …, 2015 | 6 | UIS_G1YAAAAJ:_Qo2XoVZTnwC | Bedillion | Mechanical Engineering | [
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DYNAMICS AND CONTROL UNDER SLIP AND NO-SLIP CONTACT FOR THE MODULAR DISTRIBUTED MANIPULATOR SYSTEM | 2001 | 0 | UIS_G1YAAAAJ:8k81kl-MbHgC | Bedillion | Mechanical Engineering | [
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