| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Comput. Chem. Eng.
|
| 2025 | J | jnl |
Comput. Chem. Eng.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Mach. Learn. Sci. Technol.
|
| 2024 | A* | conf |
ICML
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Mach. Learn. Sci. Technol.
|
| 2024 | A* | conf |
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction.
ICLR
|
| 2024 | J | jnl |
Mach. Learn. Sci. Technol.
|
| 2024 | J | jnl |
J. Open Source Softw.
|
| 2024 | J | jnl |
CoRR
|
| 2023 | J | jnl |
J. Chem. Inf. Model.
|
| 2023 | J | jnl |
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction.
CoRR
|
| 2019 | J | jnl |
SoftwareX
|
| 2017 | J | jnl |
Int. J. Digit. Libr.
|