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Nicholas Ouassil
Nicholas Ouassil
Graduate Student Researcher, University of California, Berkeley
Verified email at berkeley.edu
Title
Cited by
Cited by
Year
Supervised learning model predicts protein adsorption to carbon nanotubes
N Ouassil, RL Pinals, JT Del Bonis-O’Donnell, JW Wang, MP Landry
Science Advances 8 (1), eabm0898, 2022
232022
Investigation of the role of Ca (OH) 2 in the catalytic Alkaline Thermal Treatment of cellulose to produce H2 with integrated carbon capture
MR Stonor, N Ouassil, JG Chen, AHA Park
Journal of energy chemistry 26 (5), 984-1000, 2017
192017
Kinetic and mechanistic investigation of catalytic alkaline thermal treatment of xylan producing high purity H2 with in-situ carbon capture
K Zhang, N Ouassil, CAO Campo, G Rim, WJ Kim, AHA Park
Journal of Industrial and Engineering Chemistry 85, 219-225, 2020
112020
Near infrared nanosensors enable optical imaging of oxytocin with selectivity over vasopressin in acute mouse brain slices
N Navarro, S Jeong, N Ouassil, J Mun, E Leem, MP Landry
bioRxiv, 2022.10. 05.511026, 2022
22022
Imaging Dopamine Modulation in Brain Acute Slices for Cocaine Addiction Study with Non-Genetically Encoded Nanosensors
N Ouassil, N Komatsu, M Landry
2023 AIChE Annual Meeting, 2023
2023
Identifying Neural Signatures of Dopamine Signaling with Machine Learning
SK Sorooshyari, N Ouassil, SJ Yang, MP Landry
ACS chemical neuroscience 14 (12), 2282-2293, 2023
2023
High Throughput Evolution of DNA-Assembled Carbon Nanotubes for Neurochemical Optical Nanosensors
S Jeong, MP Landry, N Navarro, N Ouassil, TDB O’Donnell, A Beyene
Electrochemical Society Meeting Abstracts 241, 704-704, 2022
2022
Development of Supervised Learning Models for Protein Adsorption to Engineered Nanoparticles
N Ouassil, RL Pinals, JT Del Bonis-O'Donnell, M Landry
2020 Virtual AIChE Annual Meeting, 2020
2020
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