Biomolecules · Quantitative Biology
CryoNet.Refine: A One-step Diffusion Model for Rapid Refinement of Structural Models with Cryo-EM Density Map Restraints
Fuyao Huang, Xiaozhu Yu, Kui Xu, Qiangfeng Cliff Zhang
2026-03-10
Performance · Computer Science
Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels
Julian Hammer, Jan Eitzinger, Georg Hager, Gerhard Wellein
2018-07-09
Machine Learning · Computer Science
Predicting Wall Thickness Changes in Cold Forging Processes: An Integrated FEM and Neural Network approach
Sasa Ilic, Abdulkerim Karaman, Johannes Pöppelbaum, Jan Niclas Reimann +2
2024-11-22
Computational Engineering, Finance, and Science · Computer Science
Designing architectured ceramics for transient thermal applications using finite element and deep learning
Elham Kiyani, Hamidreza Yazdani Sarvestani, Hossein Ravanbakhsh, Razyeh Behbahani +3
2023-05-22
Biomolecules · Quantitative Biology
CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
Yi Zhou, Yilai Li, Jing Yuan, Quanquan Gu
2024-12-05
Computational Engineering, Finance, and Science · Computer Science
A Machine Learning-Fueled Modelfluid for Flowsheet Optimization
Martin Bubel, Tobias Seidel, Michael Bortz
2025-10-14
Materials Science · Physics
TEMImageNet Training Library and AtomSegNet Deep-Learning Models for High-Precision Atom Segmentation, Localization, Denoising, and Super-Resolution Processing of Atomic-Resolution Images
Ruoqian Lin, Rui Zhang, Chunyang Wang, Xiao-Qing Yang +1
2021-02-23
Materials Science · Physics
Improving atomic force microscopy structure discovery via style-translation
Jie Huang, Niko Oinonen, Fabio Priante, Filippo Federici Canova +3
2025-09-03
Quantitative Methods · Quantitative Biology
Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography
Jialiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg +1
2018-03-28
Materials Science · Physics
Towards Automating Structural Discovery in Scanning Transmission Electron Microscopy
Nicole Creange, Ondrej Dyck, Rama K. Vasudevan, Maxim Ziatdinov +1
2021-08-11
Materials Science · Physics
Deep Learning Segmentation of Complex Features in Atomic-Resolution Phase Contrast Transmission Electron Microscopy Images
Robbie Sadre, Colin Ophus, Anstasiia Butko, Gunther H Weber
2021-09-01
Chemical Physics · Physics
Force-Field-Enhanced Neural Network Interactions: from Local Equivariant Embedding to Atom-in-Molecule properties and long-range effects
Thomas Plé, Louis Lagardère, Jean-Philip Piquemal
2024-07-23
Quantitative Methods · Quantitative Biology
DeepPicker: a Deep Learning Approach for Fully Automated Particle Picking in Cryo-EM
Feng Wang, Huichao Gong, Gaochao liu, Meijing Li +4
2016-05-09
Robotics · Computer Science
Sim-to-Real for Soft Robots using Differentiable FEM: Recipes for Meshing, Damping, and Actuation
Mathieu Dubied, Mike Michelis, Andrew Spielberg, Robert Katzschmann
2022-03-01
Artificial Intelligence · Computer Science
A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
William Solow, Paola Pesantez-Cabrera, Markus Keller, Lav Khot +2
2026-05-20
Robotics · Computer Science
Modeling, Embedded Control and Design of Soft Robots using a Learned Condensed FEM Model
Etienne Ménager, Tanguy Navez, Paul Chaillou, Olivier Goury +2
2025-03-20
Numerical Analysis · Mathematics
An adaptive edge-based smoothed finite element method (ES-FEM) for phase-field modeling of fractures at large deformations
Fucheng Tian, Xiaoliang Tang, Tingyu Xu, Liangbin Li
2021-11-09
Materials Science · Physics
AutoMat: Accelerated Computational Electrochemical systems Discovery
Emil Annevelink, Rachel Kurchin, Eric Muckley, Lance Kavalsky +16
2022-05-16