Data-driven control in atomic force microscopy using a genetic algorithm

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Data-driven control in atomic force microscopy using a genetic algorithm

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Improving the accuracy and interpretability of neural networks for wind power forecasting

2D Metalorganic Ferromagnets

Engineering Spin Interaction Channels of FePc on Au(111)

Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots

Learning to Optimize with Convergence Guarantees Using Nonlinear System Theory

Diffusion Moving-Average Adaptation Over Networks

Selectively Exciting and Probing Radiative Plasmon Modes on Short Gold Nanorods by Scanning Tunneling Microscope-Induced Light Emission

CONFIG: Constrained Efficient Global Optimization for Closed-Loop Control System Optimization with Unmodeled Constraints

Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation

NIR Fluorescence lifetime macroscopic imaging with a time-gated SPAD camera

Engineering Optically Active Defects in Hexagonal Boron Nitride Using Focused Ion Beam and Water

A Practical Guide to Supervised Deep Learning for Bioimage Analysis: Challenges and good practices

On improving the efficiency of modifier adaptation via directional information

Deep Q-learning agent for building earthquake resisting wall