Standout Papers

Neural operators for accelerating scientific simulations and... 2022 2026 2023 2024224
  1. Neural operators for accelerating scientific simulations and design (2024)
    Kamyar Azizzadenesheli, Nikola Kovachki et al. Nature Reviews Physics
  2. Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models (2023)
    Zhiling Zheng, Ali H. Alawadhi et al. Journal of the American Chemical Society
  3. State-specific protein–ligand complex structure prediction with a multiscale deep generative model (2024)
    Zhuoran Qiao, Weili Nie et al. Nature Machine Intelligence
  4. U-FNO—An enhanced Fourier neural operator-based deep-learning model for multiphase flow (2022)
    Gege Wen, Zongyi Li et al. Advances in Water Resources

Immediate Impact

6 from Science/Nature 63 standout
Sub-graph 1 of 22

Citing Papers

Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning
2024 Standout
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
2024 Standout
1 intermediate paper

Works of Anima Anandkumar being referenced

Real-time high-resolution CO2 geological storage prediction using nested Fourier neural operators
2023
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models
2020

Author Peers

Author Last Decade Papers Cites
Anima Anandkumar 468 363 139 242 84 1.7k
Jochen Garcke 481 123 68 173 52 1.6k
Frances Y. Kuo 128 152 21 175 67 2.1k
Christian Bischof 208 85 47 153 161 2.0k
Marius Kloft 1145 751 44 59 70 2.0k
Hong Chen 600 131 17 284 70 1.2k
Valeria V. Krzhizhanovskaya 370 113 5 133 114 2.0k
Ning Hao 276 581 663 47 78 2.1k
Sivasankaran Rajamanickam 162 241 23 84 75 1.3k
Le Song 1245 315 21 142 68 2.1k
Barnabás Póczos 841 331 8 104 101 2.1k

All Works

Loading papers...

Rankless by CCL
2026