2026 edition · Top 35
AI for science
AI applied to the sciences: proteins, materials, weather, mathematics and medicine.
AI for science: 35 · N = 35, scaled from 84 candidates.
0 of 35 of this page's 35 read · saved in this browser only
- 1
Highly accurate protein structure prediction with AlphaFold
John Jumper · 43,700 citations · OpenAlex
Editor's note - 2
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger · 103,099 citations · Papers With Code
Editor's note - 3
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Maziar Raissi · 20,355 citations · OpenAlex
Editor's note - 4
Accurate structure prediction of biomolecular interactions with AlphaFold 3
Josh Abramson · 15,805 citations · OpenAlex
Editor's note - 5
Fourier Neural Operator for Parametric Partial Differential Equations
Zongyi Li · 5,182 citations · Papers With Code
Editor's note - 6
Accurate prediction of protein structures and interactions using a three-track neural network
Minkyung Baek · 5,495 citations · OpenAlex
- 7
Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
Alexander Rives · 3,277 citations · OpenAlex
- 8
Learning skillful medium-range global weather forecasting
Remi Lam · 1,463 citations · OpenAlex
Editor's note - 9
AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
Mihaly Varadi · 7,841 citations · OpenAlex
- 10
Improved protein structure prediction using potentials from deep learning
Andrew W. Senior · 3,381 citations · OpenAlex
- 11
Scaling deep learning for materials discovery
Amil Merchant · 1,522 citations · OpenAlex
- 12
Dermatologist-level classification of skin cancer with deep neural networks
Andre Esteva · 14,288 citations · OpenAlex
- 13
Evolutionary-scale prediction of atomic-level protein structure with a language model
Zeming Lin · 5,565 citations · OpenAlex
- 14
MoleculeNet: a benchmark for molecular machine learning
Zhenqin Wu · 3,107 citations · OpenAlex
- 15
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Fabian Isensee · 10,456 citations · OpenAlex
- 16
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Lu Lu · 3,644 citations · OpenAlex
- 17
Protein complex prediction with AlphaFold-Multimer
Evans · 3,795 citations · OpenAlex
- 18
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
Varun Gulshan · 7,691 citations · OpenAlex
- 19
De novo design of protein structure and function with RFdiffusion
Joseph L. Watson · 2,361 citations · OpenAlex
- 20
Solving olympiad geometry without human demonstrations
Trieu H. Trinh · 311 citations · OpenAlex
Editor's note - 21
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Rajpurkar · 3,610 citations · Papers With Code
- 22
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt · 1,559 citations · Semantic Scholar
- 23
Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules
Rafael Gómez-Bombarelli · 3,105 citations · OpenAlex
- 24
The Materials Project: A materials genome approach to accelerating materials innovation
13,083 citations · OpenAlex
- 25
Highly accurate protein structure prediction for the human proteome
Tunyasuvunakool · 3,023 citations · OpenAlex
- 26
Accurate medium-range global weather forecasting with 3D neural networks
Kaifeng Bi · 1,668 citations · OpenAlex
- 27
Deep Potential Molecular Dynamics: A Scalable Model with the Accuracy of Quantum Mechanics
Linfeng Zhang · 2,279 citations · OpenAlex
- 28
SchNet - a deep learning architecture for molecules and materials
Schütt · 2,215 citations · OpenAlex
- 29
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
Jaideep Pathak · 1,384 citations · Papers With Code
- 30
Accurate proteome-wide missense variant effect prediction with AlphaMissense
Jun Cheng · 2,140 citations · OpenAlex
- 31
Message Passing Neural Networks for Molecular Property Prediction
Yang · 1,923 citations · OpenAlex
- 32
AlphaEvolve: A coding agent for scientific and algorithmic discovery
1,047 citations · Papers With Code
- 33
E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
Simon Batzner · 1,935 citations · OpenAlex
- 34
Clinically applicable deep learning for diagnosis and referral in retinal disease
Jeffrey De Fauw · 2,632 citations · OpenAlex
- 35
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Babak Alipanahi · 2,870 citations · OpenAlex
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Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and 
Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.