Piyush Karande - Concepedia

Author

Piyush Karande

Lawrence Livermore National Laboratory ORCID

Also Known As

Angerami, Aaron, Karande, Piyush, P. Karande, Piyush Karande, Prof. Shital Karande

Publications

426

Citations

H-Index

Concepts

All Affiliations

Lawrence Livermore National Laboratory Thomas Jefferson National Accelerator Facility Lawrence Berkeley National Laboratory University of California, Berkeley National Energy Research Scientific Computing Center

About

Piyush Karande is an author at Lawrence Livermore National Laboratory specializing in engineering, deep learning, and modeling and simulation.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	136
2	Computer Engineering	2	2	49
3	Computer Science	2	2	77
4	Data Science	2	2	77
5	Natural Sciences	1	1	24

Piyush Karande

Publications

389

Citations

H-Index

Page 1

	Year	Citations
A flexible 3-dimensional microelectrode array for <i>in vitro</i> brain models David A. Soscia, Doris Lam, Angela Tooker, Lab on a Chip	2020	173
Predicting Energetics Materials’ Crystalline Density from Chemical Structure by Machine Learning Phan Nguyen, Donald Loveland, Joanne T. Kim, Journal of Chemical Information and Modeling	2021	70
A Strategic Approach to Machine Learning for Material Science: How to Tackle Real-World Challenges and Avoid Pitfalls Piyush Karande, Brian Gallagher, T. Yong-Jin Han Chemistry of Materials Artificial IntelligenceEngineeringMachine LearningMachine Learning ToolExponential Growth	2022	53
Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations Harsh Bhatia, Timothy S. Carpenter, Helgi I. Ingólfsson, Nature Machine Intelligence EngineeringMultiscale AnalysisNumerical SimulationLarge-scale SimulationModeling And Simulation	2021	34
A 32-channel modular bi-directional neural interface system with embedded DSP for closed-loop operation Peng Cong, Piyush Karande, Jonathan Carl Landes, EngineeringAnalog DesignComputer ArchitectureNeurochipMixed-signal Integrated Circuit	2014	25
Comparison of point cloud and image-based models for calorimeter fast simulation Fernando Torales Acosta, V. M. Mikuni, Benjamin Nachman, Journal of Instrumentation EngineeringMachine LearningCalorimeter SimulationSimulationComputer-aided Design	2024	24
Artificial Intelligence for the Electron Ion Collider (AI4EIC) C. Allaire, Roberto Ammendola, E. C. Aschenauer, Computing and Software for Big Science	2024	10

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