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Piyush Karande
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A flexible 3-dimensional microelectrode array for in vitro brain models
DA Soscia, D Lam, AC Tooker, HA Enright, M Triplett, P Karande, ...
Lab on a Chip 20 (5), 901-911, 2020
1152020
A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation
P Cong, P Karande, J Landes, R Corey, S Stanslaski, W Santa, R Jensen, ...
ESSCIRC 2014-40th European Solid State Circuits Conference (ESSCIRC), 99-102, 2014
352014
Predicting energetics materials’ crystalline density from chemical structure by machine learning
P Nguyen, D Loveland, JT Kim, P Karande, AM Hiszpanski, TYJ Han
Journal of Chemical Information and Modeling 61 (5), 2147-2158, 2021
342021
Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations
H Bhatia, TS Carpenter, HI Ingólfsson, G Dharuman, P Karande, S Liu, ...
Nature Machine Intelligence 3 (5), 401-409, 2021
262021
A strategic approach to machine learning for material science: How to tackle real-world challenges and avoid pitfalls
P Karande, B Gallagher, TYJ Han
Chemistry of Materials 34 (17), 7650-7665, 2022
122022
Facial expression recognition using a large out-of-context dataset
E Tran, MB Mayhew, H Kim, P Karande, AD Kaplan
2018 IEEE Winter Applications of Computer Vision Workshops (WACVW), 52-59, 2018
82018
Comparison of point cloud and image-based models for calorimeter fast simulation
FT Acosta, V Mikuni, B Nachman, M Arratia, K Barish, B Karki, R Milton, ...
arXiv preprint arXiv:2307.04780, 2023
72023
Automated identification of molecular crystals’ packing motifs
D Loveland, B Kailkhura, P Karande, AM Hiszpanski, TYJ Han
Journal of Chemical Information and Modeling 60 (12), 6147-6154, 2020
52020
Optimizing 3D structure of H2O molecule using DDPG
SK Kim, P Li, JT Kim, P Karande, Y Han
32019
Artificial Intelligence for the Electron Ion Collider (AI4EIC)
C Allaire, R Ammendola, EC Aschenauer, M Balandat, M Battaglieri, ...
Computing and Software for Big Science 8 (1), 5, 2024
22024
Localization of emotional affect in electrocorticography using a model based discrimination measure
AD Kaplan, Q Cheng, P Karande, E Tran, M Bijanzadeh, H Dawes, ...
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1709-1713, 2019
22019
Development and Investigation of Sparse Co-Adaptive Algorithms in ECoG based Closed-Loop Brain Computer Interface
P Karande
Washington University in St. Louis, 2016
22016
The Optimal use of Segmentation for Sampling Calorimeters
FT Acosta, B Karki, P Karande, A Angerami, M Arratia, K Barish, R Milton, ...
arXiv preprint arXiv:2310.04442, 2023
12023
Emotion Discrimination through Electrode Network Connectivity Pattern Recognition
Q Cheng, AD Kaplan, P Karande, M Bijanzadeh, H Dawes, E Chang
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2139-2143, 2019
12019
Corrigendum: Spatiotemporal analysis of 3D human iPSC-derived neural networks using a 3D multi-electrode array
D Lam, HA Enright, J Cadena, VK George, DA Soscia, AC Tooker, ...
Frontiers in Cellular Neuroscience, 2023
2023
Spatiotemporal analysis of 3D human iPSC-derived neural networks using a 3D multi-electrode array
D Lam, HA Enright, J Cadena, VK George, DA Soscia, AC Tooker, ...
Frontiers in Cellular Neuroscience 17, 1287089, 2023
2023
Point Cloud Deep Learning Methods for Pion Reconstruction in the ATLAS Experiment
ATLAS
https://cds.cern.ch/record/2825379, 2022
2022
Improving High-Energy Particle Detectors with Machine Learning
M Heinz, A Angerami, P Karande, R Soltz
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020
2020
Deep Learning for Pion Identification and Energy Calibration with the ATLAS Detector
APUB Note
2020
Deep Learning for Pion Identification and Energy Calibration with the ATLAS Detector
A Angerami, P Karande
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2020
2020
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Articles 1–20