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Start Over Area of Honors Engineering Science Thesis Supervisor Saptarshi Das

1. INVESTIGATING PERFORMANCE LIMITING DEFECTS IN SILICON CARBIDE BIPOLAR JUNCTION TRANSISTORS USING ELECTRICALLY DETECTED MAGNETIC RESONANCE

open_access
Open Access
Author:
Carrier, Robert Scott
Title:
INVESTIGATING PERFORMANCE LIMITING DEFECTS IN SILICON CARBIDE BIPOLAR JUNCTION TRANSISTORS USING ELECTRICALLY DETECTED MAGNETIC RESONANCE
Area of Honors:
Engineering Science
Keywords:
bipolar junction transistor
EDMR
pn junctions
magnetometer
silicon carbide
spin dependent recombination
semiconductor spectroscopy
File:
Download Robert_Carrier_Thesis_Final.pdf
Thesis Supervisors:
Dr. Patrick M Lenahan, Thesis Supervisor
Dr. Patrick M Lenahan, Thesis Honors Advisor
Saptarshi Das, Faculty Reader

2. Enhancing EEG Classification by Using Neuromorphic Computing and Artificial Neural Network Analysis

open_access
Open Access
Author:
Pannone, Andrew
Title:
Enhancing EEG Classification by Using Neuromorphic Computing and Artificial Neural Network Analysis
Area of Honors:
Engineering Science
Keywords:
Neural Network
EEG
Neuromorphic Computing
Handwriting Recognition
File:
Download Pannone_Thesis_Final_Edition_SHC.pdf
Thesis Supervisors:
Saptarshi Das, Thesis Supervisor
Lucas Jay Passmore, Thesis Honors Advisor

5. Classification and Quantification of Consumer Drink Products Using Solution Gated Graphene Field Effect Transistors

restricted_to_institution
Restricted (Penn State Only)
Author:
Price, Collin
Title:
Classification and Quantification of Consumer Drink Products Using Solution Gated Graphene Field Effect Transistors
Area of Honors:
Engineering Science
Keywords:
Graphene
ISFET
Sensing
Semiconductors
Nanomaterials
Machine Learning
Consumer Products
File:
Login to Download
Thesis Supervisors:
Saptarshi Das, Thesis Supervisor
Joseph Paul Cusumano, Thesis Honors Advisor