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The Journal of Physical Chemistry. B
|
August 16, 2022
High-Dimensional Neural Network Potential for Liquid Electrolyte Simulations
Steven Dajnowicz, Garvit Agarwal, James M Stevenson, et al.
Kidney International
|
April 1, 1991
Role of iron metabolism in absorption and cellular uptake of aluminum
J B Cannata, I Fernández-Soto, M J Fernández-Menendez, et al.
Langmuir : the ACS Journal of Surfaces and Colloids
|
April 4, 2023
Exploring the Effects of Wetting and Free Fatty Acid Deposition on an Atomistic Hair Fiber Surface Model Incorporating Keratin-Associated Protein 5-1
Jeffrey M Sanders, Benjamin J Coscia, Alexandr Fonari, et al.
Frontiers in Chemistry
|
May 22, 2020
Molecular Design Based on Donor-Weak Donor Scaffold for Blue Thermally-Activated Delayed Fluorescence Designed by Combinatorial DFT Calculations
Youichi Tsuchiya, Keita Tsuji, Ko Inada, et al.
Physical Chemistry Chemical Physics : PCCP
|
January 4, 2023
Shearing friction behaviour of synthetic polymers compared to a functionalized polysaccharide on biomimetic surfaces: models for the prediction of performance of eco-designed formulations
Benjamin J Coscia, John C Shelley, Andrea R Browning, et al.
Gut
|
January 15, 2002
The role of iron and haemochromatosis gene mutations in the progression of liver disease in chronic hepatitis C
D Thorburn, G Curry, R Spooner, et al.
The Journal of Physical Chemistry. A
|
February 19, 2020
Massive Theoretical Screen of Hole Conducting Organic Materials in the Heteroacene Family by Using a Cloud-Computing Environment
Nobuyuki N Matsuzawa, Hideyuki Arai, Masaru Sasago, et al.
Journal of Cheminformatics
|
March 15, 2024
Advancing material property prediction: using physics-informed machine learning models for viscosity
Alex K Chew, Matthew Sender, Zachary Kaplan, et al.
Journal of Computational Chemistry
|
March 26, 2016
Highly efficient implementation of pseudospectral time-dependent density-functional theory for the calculation of excitation energies of large molecules
Yixiang Cao, Thomas Hughes, Dave Giesen, et al.
The Journal of Physical Chemistry. A
|
August 19, 2022
<i>De Novo</i> Design of Molecules with Low Hole Reorganization Energy Based on a Quarter-Million Molecule DFT Screen: Part 2
Joshua Staker, Kyle Marshall, Karl Leswing, et al.
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of 5
Search research articles
Search
Showing results (31-40 of 44) with videos related to
Sort By:
Page
of 5
The Journal of Physical Chemistry. B
|
August 16, 2022
High-Dimensional Neural Network Potential for Liquid Electrolyte Simulations
Steven Dajnowicz, Garvit Agarwal, James M Stevenson, et al.
Kidney International
|
April 1, 1991
Role of iron metabolism in absorption and cellular uptake of aluminum
J B Cannata, I Fernández-Soto, M J Fernández-Menendez, et al.
Langmuir : the ACS Journal of Surfaces and Colloids
|
April 4, 2023
Exploring the Effects of Wetting and Free Fatty Acid Deposition on an Atomistic Hair Fiber Surface Model Incorporating Keratin-Associated Protein 5-1
Jeffrey M Sanders, Benjamin J Coscia, Alexandr Fonari, et al.
Frontiers in Chemistry
|
May 22, 2020
Molecular Design Based on Donor-Weak Donor Scaffold for Blue Thermally-Activated Delayed Fluorescence Designed by Combinatorial DFT Calculations
Youichi Tsuchiya, Keita Tsuji, Ko Inada, et al.
Physical Chemistry Chemical Physics : PCCP
|
January 4, 2023
Shearing friction behaviour of synthetic polymers compared to a functionalized polysaccharide on biomimetic surfaces: models for the prediction of performance of eco-designed formulations
Benjamin J Coscia, John C Shelley, Andrea R Browning, et al.
Gut
|
January 15, 2002
The role of iron and haemochromatosis gene mutations in the progression of liver disease in chronic hepatitis C
D Thorburn, G Curry, R Spooner, et al.
The Journal of Physical Chemistry. A
|
February 19, 2020
Massive Theoretical Screen of Hole Conducting Organic Materials in the Heteroacene Family by Using a Cloud-Computing Environment
Nobuyuki N Matsuzawa, Hideyuki Arai, Masaru Sasago, et al.
Journal of Cheminformatics
|
March 15, 2024
Advancing material property prediction: using physics-informed machine learning models for viscosity
Alex K Chew, Matthew Sender, Zachary Kaplan, et al.
Journal of Computational Chemistry
|
March 26, 2016
Highly efficient implementation of pseudospectral time-dependent density-functional theory for the calculation of excitation energies of large molecules
Yixiang Cao, Thomas Hughes, Dave Giesen, et al.
The Journal of Physical Chemistry. A
|
August 19, 2022
<i>De Novo</i> Design of Molecules with Low Hole Reorganization Energy Based on a Quarter-Million Molecule DFT Screen: Part 2
Joshua Staker, Kyle Marshall, Karl Leswing, et al.
Page
of 5