Dral, Pavlo O.
154  results:
Search for persons X
?
1

MLQD: A package for machine learning-based quantum dissipat..:

Ullah, Arif ; Dral, Pavlo O.
Computer Physics Communications.  294 (2024)  - p. 108940 , 2024
 
?
2

MLatom 3: A Platform for Machine Learning-Enhanced Computat..:

Dral, Pavlo O. ; Ge, Fuchun ; Hou, Yi-Fan...
Journal of Chemical Theory and Computation.  20 (2024)  3 - p. 1193-1213 , 2024
 
?
3

Tell Machine Learning Potentials What They Are Needed For: ..:

Ge, Fuchun ; Wang, Ran ; Qu, Chen...
The Journal of Physical Chemistry Letters.  15 (2024)  16 - p. 4451-4460 , 2024
 
?
4

AI in computational chemistry through the lens of a decade-..:

Dral, Pavlo O.
Chemical Communications.  60 (2024)  24 - p. 3240-3258 , 2024
 
?
 
?
6

MLatom Software Ecosystem for Surface Hopping Dynamics in P..:

Zhang, Lina ; Pios, Sebastian V. ; Martyka, Mikołaj...
Journal of Chemical Theory and Computation.  20 (2024)  12 - p. 5043-5057 , 2024
 
?
7

Artificial-Intelligence-Enhanced On-the-Fly Simulation of N..:

Pios, Sebastian V. ; Gelin, Maxim F. ; Ullah, Arif..
The Journal of Physical Chemistry Letters.  15 (2024)  9 - p. 2325-2331 , 2024
 
?
8

Semiempirical quantum mechanical methods:

, In: Quantum Chemistry in the Age of Machine Learning,
Dral, Pavlo O. ; Řezáč, Jan - p. 67-92 , 2023
 
?
9

Improving semiempirical quantum mechanical methods with mac..:

, In: Quantum Chemistry in the Age of Machine Learning,
Dral, Pavlo O. ; Zubatiuk, Tetiana - p. 559-575 , 2023
 
?
10

Neural networks:

, In: Quantum Chemistry in the Age of Machine Learning,
 
?
12

Learning excited-state properties:

, In: Quantum Chemistry in the Age of Machine Learning,
 
?
 
1-15