E-LIB Suche - Ergebnisse für: Barnes, Brian C.

1

Interpretable Performance Models for Energetic Materials us..:

Appleton, Robert J. ; Salek, Peter ; Casey, Alex D....
The Journal of Physical Chemistry A. 128 (2024) 6 - p. 1142-1153 , 2024

Link: https://doi.org/10.1021/..

2

The Economic Analysis of Civil Law. 2nd ed. Hans-Bernd Schä..:

Barnes, Brian C.
International Journal of Legal Information. 51 (2023) 2 - p. 150-151 , 2023

Link: https://doi.org/10.1017/..

3

Physics‐informed Transfer Learning for Out‐of‐sample Vapor ..:

Lansford, Joshua L. ; Jensen, Klavs F. ; Barnes, Brian C.
Propellants, Explosives, Pyrotechnics. 48 (2023) 4 - p. , 2023

Link: https://doi.org/10.1002/..

4

Machine learning for shock compression of solids using scar..:

Balakrishnan, Sangeeth ; VanGessel, Francis G. ; Barnes, Brian C....
Journal of Applied Physics. 133 (2023) 15 - p. , 2023

Link: https://doi.org/10.1063/..

5

Temporal scale-bridging of chemistry in a multiscale model:..:

Leiter, Kenneth W. ; Larentzos, James P. ; Barnes, Brian C....
Journal of Computational Physics. 472 (2023) - p. 111682 , 2023

Link: https://doi.org/10.1016/..

6

Building Chemical Property Models for Energetic Materials f..:

Lansford, Joshua L. ; Barnes, Brian C. ; Rice, Betsy M..
Journal of Chemical Information and Modeling. 62 (2022) 22 - p. 5397-5410 , 2022

Link: https://doi.org/10.1021/..

7

General quantitative structure–property relationships and m..:

, In: Theoretical and Computational Chemistry; Molecular Modeling of the Sensitivities of Energetic Materials,

Morrill, Jason A. ; Barnes, Brian C. ; Rice, Betsy M.. - p. 139-156 , 2022

Link: https://doi.org/10.1016/..

8

Machine learning transition temperatures from 2D structure:

Sifain, Andrew E. ; Rice, Betsy M. ; Yalkowsky, Samuel H..
Journal of Molecular Graphics and Modelling. 105 (2021) - p. 107848 , 2021

Link: https://doi.org/10.1016/..

9

Locally Optimizable Joint Embedding Framework to Design Nit..:

Balakrishnan, Sangeeth ; VanGessel, Francis G. ; Boukouvalas, Zois...
Molecular Informatics. 40 (2021) 7 - p. , 2021

Link: https://doi.org/10.1002/..

10

Data Augmentation and Pretraining for Template-Based Retros..:

Fortunato, Michael E. ; Coley, Connor W. ; Barnes, Brian C..
Journal of Chemical Information and Modeling. 60 (2020) 7 - p. 3398-3407 , 2020

Link: https://doi.org/10.1021/..

11

Prediction of Energetic Material Properties from Electronic..:

Casey, Alex D. ; Son, Steven F. ; Bilionis, Ilias.
Journal of Chemical Information and Modeling. 60 (2020) 10 - p. 4457-4473 , 2020

Link: https://doi.org/10.1021/..

12

Forging of Hierarchical Multiscale Capabilities for Simulat..:

Barnes, Brian C. ; Leiter, Kenneth W. ; Larentzos, James P..
Propellants, Explosives, Pyrotechnics. 45 (2019) 2 - p. 177-195 , 2019

Link: https://doi.org/10.1002/..

13

Toward a Predictive Hierarchical Multiscale Modeling Approa..:

, In: Computational Approaches for Chemistry Under Extreme Conditions; Challenges and Advances in Computational Chemistry and Physics,

Barnes, Brian C. ; Brennan, John K. ; Byrd, Edward F. C.... - p. 229-282 , 2019

Link: https://doi.org/10.1007/..

14

Accelerated scale-bridging through adaptive surrogate model..:

Leiter, Kenneth W. ; Barnes, Brian C. ; Becker, Richard.
Journal of Computational Science. 27 (2018) - p. 91-106 , 2018

Link: https://doi.org/10.1016/..

15

Molecular dynamics simulations of the formation of ethane c..:

Wilson, Daniel T. ; Barnes, Brian C. ; Wu, David T..
Fluid Phase Equilibria. 413 (2016) - p. 229-234 , 2016

Link: https://doi.org/10.1016/..