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14 hours ago · Machine learning-based prediction and inverse design of 2D metamaterial ... Clustering result showing surface defects in 3D with in-situ point cloud processing ...
Jun 17, 2024 · high throughput experimentation, active machine learning across multiple design spaces, and machine learning process-structure- property modeling. Their ...
Jun 26, 2024 · Modern machine learning for tackling inverse problems in chemistry: molecular design to realization. ... A point cloud-based deep learning strategy for ...
3 days ago · Tang, T. Buonassisi, A.L. Gonzalez-Oyarce, J. Ye, Machine learning enables polymer cloud- point engineering via inverse design, Npj Comput Mater 5 ( ...
Jun 16, 2024 · Physics-constrained, Inverse Design of High-temperature, High- strength ... Through Uncertainty Quantification Enabled Transfer Learning: Shashank ...
3 days ago · In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset ...
Jun 18, 2024 · Within the context of this framework, it is possible to conceptualize how machine learning tools would help engineers to execute and solve several general ...
Jun 28, 2024 · Using over 150 million atomistic structures for training, we illustrate the performance of our approach along with the lessons learned on two state-of-the-art ...
7 days ago · Ref introduces a computational design and engineering framework, which allows patient-specific simulations of mechanical interactions between dental tissues.
Jun 30, 2024 · Machine learning and neural networks represent significant advancements in AI, enabling the creation of models that can learn from data, make predictions, and ...