Results 191 to 200 of about 82,958 (263)
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Integrated Optomechanical Analysis of the Impact of an Ø 800 mm Primary Mirror on the Imaging Quality of an Optical System. [PDF]
Liu R, Zhang Y, Liu Y, Li Q.
europepmc +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
SegClarity: An Attribution-Based XAI Workflow for Evaluating Historical Document Layout Models. [PDF]
Brini I +4 more
europepmc +1 more source
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
A lightweight dual-stream architecture for flow enhanced anomaly detection (FEAD). [PDF]
Yin C, Zhang Y, Qi C.
europepmc +1 more source
SEMI SYMMETRIC NON-METRIC -CONNECTION ON A GENERALIZED CONTACT METRIC STRUCTURE MANIFOLD. [PDF]
openaire +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
Research on characteristic recognition and quantification of internal powder residue in LPBF porous structure based on image processing. [PDF]
Shi W +5 more
europepmc +1 more source
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source

