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Saksham Phul
Saksham Phul
Children’s Hospital of Philadelphia
Verified email at chop.edu
Title
Cited by
Cited by
Year
A mathematical model to study the effect of potential drop across the SEI layer on the capacity fading of a lithium ion battery
S Phul, A Deshpande, B Krishnamurthy
Electrochimica Acta 164, 281-287, 2015
362015
Modeling the performance of enzymatic glucose fuel cells
S Jariwala, S Phul, R Nagpal, S Goel, B Krishnamurthy
Journal of Electroanalytical Chemistry 801, 354-359, 2017
112017
A generalized mathematical model to understand the capacity fading in lithium ion batteries-Effects of solvent and lithium transport
A Deshpande, S Phul, B Krishnamurthy
Journal of Electrochemical Science and Engineering 5 (3), 181-195, 2015
102015
Predicting the functional impact of KCNQ1 variants with artificial neural networks
S Phul, G Kuenze, CG Vanoye, CR Sanders, AL George Jr, J Meiler
PLoS computational biology 18 (4), e1010038, 2022
72022
Diffusion growth mechanism of penta-twinned Ag nanocrystals from decahedral seeds
J Cui, S Phul, KA Fichthorn
The Journal of Chemical Physics 158 (16), 2023
42023
Multiparametric MRI along with machine learning informs on molecular underpinnings, prognosis, and treatment response in pediatric low grade glioma
A Nabavizadeh, A Kraya, K Rathi, MC Kim, N Khalili, A Familiar, ...
Cancer Research 84 (6_Supplement), 5200-5200, 2024
2024
Germline pathogenic variants are enriched in pediatric central nervous system tumor patients and associate with somatic functional consequences
RJ Corbett, R Kaufman, SW McQuaid, Z Vaksman, S Phul, MA Brown, ...
Cancer Research 84 (6_Supplement), 6372-6372, 2024
2024
AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification
J Kim, AS Naqvi, RJ Corbett, RS Kaufman, Z Vaksman, MA Brown, ...
Bioinformatics 40 (3), btae114, 2024
2024
AutoGVP: a dockerized workflow integrating ClinVar and InterVar germline sequence variant classification
SJD Jung Kim, Ammar S Naqvi, Ryan J Corbett, Rebecca S Kaufman, Zalman ...
Bioinformatics, 2024
2024
Multiparametric MRI Along with Machine Learning Informs on Molecular Underpinnings, Prognosis, and Treatment Response in Pediatric Low-Grade Glioma
A Fathi Kazerooni, A Kraya, KS Rathi, MC Kim, A Vossough, N Khalili, ...
medRxiv, 2024.04. 18.24306046, 2024
2024
Drugit: Crowd-sourcing molecular design of non-peptidic VHL binders
T Scott, CAP Smethurst, Y Westermaier, M Mayer, P Greb, R Kousek, ...
2023
Understanding growth mechanism of copper nanowire & application of machine learning to characterize silver nanoclusters
S Phul
Graduate School, The Pennsylvania State University, 2020
2020
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