Book – Alianna J. Maren
Frontiers | A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics
Boltzmann machine - Wikipedia
Statistical mechanics learning | Pattern recognition and machine learning | Cambridge University Press
Evolution and Concepts Of Neural Networks | Deep Learning
Physica A: Statistical Mechanics and its Applications | Journal | ScienceDirect.com by Elsevier
Solving physics many-body problems with deep learning
Quantifying Mutational Response to Track the Evolution of SARS-CoV-2 Spike Variants: Introducing a Statistical-Mechanics-Guided Machine Learning Method | The Journal of Physical Chemistry B
Statistical Mechanics: Algorithms and Computations | Coursera
Statistical mechanics meets single-cell biology | Nature Reviews Genetics
Computers | Free Full-Text | Understanding of Machine Learning with Deep Learning: Architectures, Workflow, Applications and Future Directions
Phys. Rev. X 11, 031059 (2021) - Statistical Mechanics of Deep Linear Neural Networks: The Backpropagating Kernel Renormalization
STATISTICAL MECHANICS OF NEURAL NETWORKS
The Statistical Physics of Data Assimilation and Machine Learning
Statistical Mechanics of Phases and Phase Transitions | Princeton University Press
Statistical Mechanics of Deep Learning | Annual Review of Condensed Matter Physics
Water | Free Full-Text | Deep Learning Method Based on Physics Informed Neural Network with Resnet Block for Solving Fluid Flow Problems
CECAM - Machine Learning Meets Statistical Mechanics: Success and Future Challenges in BiosimulationsMachine Learning Meets Statistical Mechanics: Success and Future Challenges in Biosimulations
![PDF] The deep learning and statistical physics applications to the problems of combinatorial optimization | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/7ad6cb5870dd3a720bb4353db60222ead3c1b07e/8-Figure3-1.png "PDF] The deep learning and statistical physics applications to the problems of combinatorial optimization | Semantic Scholar")
PDF] The deep learning and statistical physics applications to the problems of combinatorial optimization | Semantic Scholar
Best of arXiv.org for AI, Machine Learning, and Deep Learning – June 2020 - insideBIGDATA
Spyridon Bakas · The Federated Tumor Segmentation (FeTS) Initiative: Towards a Paradigm-shift in Multi-institutional Collaborations · SlidesLive
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning
