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Alexander Heifetz

Showing results (11-20 of 57) with videos related to

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Scientific Reports|October 6, 2023
Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transientsKonstantinos Prantikos, Stylianos Chatzidakis, Lefteri H Tsoukalas, et al.
Applied Optics|July 3, 2009
High-speed inline holographic Stokesmeter imagingXue Liu, Alexander Heifetz, Shih C Tseng, et al.
Methods in Molecular Biology (Clifton, N.J.)|February 5, 2020
Characterizing Protein-Protein Interactions with the Fragment Molecular Orbital MethodAlexander Heifetz, Vladimir Sladek, Andrea Townsend-Nicholson, et al.
Advances in Experimental Medicine and Biology|August 25, 2016
Beyond Membrane Protein Structure: Drug Discovery, Dynamics and DifficultiesPhilip C Biggin, Matteo Aldeghi, Michael J Bodkin, et al.
Scientific Reports|June 27, 2024
Unsupervised learning-enabled pulsed infrared thermographic microscopy of subsurface defects in stainless steelXin Zhang, Tianyang Fang, Jafar Saniie, et al.
Methods in Molecular Biology (Clifton, N.J.)|February 5, 2020
Guiding Medicinal Chemistry with Fragment Molecular Orbital (FMO) MethodAlexander Heifetz, Tim James, Michelle Southey, et al.
Current Opinion in Structural Biology|June 7, 2019
Computational prediction of GPCR oligomerizationAndrea Townsend-Nicholson, Nojood Altwaijry, Andrew Potterton, et al.
Proteins|June 5, 2003
Prediction of the unknown: inspiring experience with the CAPRI experimentEfrat Ben-Zeev, Alexander Berchanski, Alexander Heifetz, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 13, 2023
High-Throughput Structure-Based Drug Design (HT-SBDD) Using Drug Docking, Fragment Molecular Orbital Calculations, and Molecular Dynamic TechniquesReuben L Martin, Alexander Heifetz, Mike J Bodkin, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 3, 2021
Fighting COVID-19 with Artificial IntelligenceStefania Monteleone, Tahsin F Kellici, Michelle Southey, et al.
Pageof 6

Showing results (11-20 of 57) with videos related to

Sort By:
Pageof 6
Scientific Reports|October 6, 2023
Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transientsKonstantinos Prantikos, Stylianos Chatzidakis, Lefteri H Tsoukalas, et al.
Applied Optics|July 3, 2009
High-speed inline holographic Stokesmeter imagingXue Liu, Alexander Heifetz, Shih C Tseng, et al.
Methods in Molecular Biology (Clifton, N.J.)|February 5, 2020
Characterizing Protein-Protein Interactions with the Fragment Molecular Orbital MethodAlexander Heifetz, Vladimir Sladek, Andrea Townsend-Nicholson, et al.
Advances in Experimental Medicine and Biology|August 25, 2016
Beyond Membrane Protein Structure: Drug Discovery, Dynamics and DifficultiesPhilip C Biggin, Matteo Aldeghi, Michael J Bodkin, et al.
Scientific Reports|June 27, 2024
Unsupervised learning-enabled pulsed infrared thermographic microscopy of subsurface defects in stainless steelXin Zhang, Tianyang Fang, Jafar Saniie, et al.
Methods in Molecular Biology (Clifton, N.J.)|February 5, 2020
Guiding Medicinal Chemistry with Fragment Molecular Orbital (FMO) MethodAlexander Heifetz, Tim James, Michelle Southey, et al.
Current Opinion in Structural Biology|June 7, 2019
Computational prediction of GPCR oligomerizationAndrea Townsend-Nicholson, Nojood Altwaijry, Andrew Potterton, et al.
Proteins|June 5, 2003
Prediction of the unknown: inspiring experience with the CAPRI experimentEfrat Ben-Zeev, Alexander Berchanski, Alexander Heifetz, et al.
Methods in Molecular Biology (Clifton, N.J.)|September 13, 2023
High-Throughput Structure-Based Drug Design (HT-SBDD) Using Drug Docking, Fragment Molecular Orbital Calculations, and Molecular Dynamic TechniquesReuben L Martin, Alexander Heifetz, Mike J Bodkin, et al.
Methods in Molecular Biology (Clifton, N.J.)|November 3, 2021
Fighting COVID-19 with Artificial IntelligenceStefania Monteleone, Tahsin F Kellici, Michelle Southey, et al.
Pageof 6