Results 141 to 150 of about 30,075 (285)
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
Advanced Intelligent Discovery, EarlyView.AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.SuperResNET is a powerful integrated software that reconstructs network architecture and molecular distribution of subcellular structures from single molecule localization microscopy datasets. SuperResNET segments the nuclear pore complex and corners, extracts size, shape, and network features of all segmented nuclear pores and uses modularity analysis
Yahongyang Lydia Li +6 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang +3 more
wiley +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Efficient Radial-Shell Model for 3D Tumor Spheroid Dynamics with Radiotherapy. [PDF]
Cancers (Basel), 2023 Franke F +5 more
europepmc +1 more source
Artificial Intelligence‐Assisted Target Design for High‐Intensity Laser‐Driven Neutron Sources
Advanced Intelligent Systems, EarlyView.This study presents an artificial intelligence (AI)‐assisted target design that combines particle‐in‐cell simulations with gradient ascent algorithm to optimize laser‐driven neutron sources. By enhancing the sheath electric field, the optimized structure increases neutron yield by a factor of 4,000.
Youjing Wang +7 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This study investigates 3D locomotion of surface‐rolling microrobots, revealing a trade‐off between hydrodynamic wall effects and gravity. Through experiments and simulations, it explores how robot size, inclination angle, actuation frequency, and surface microtopography affect the 3D locomotion.
Myungjin Park +5 more
wiley +1 more source
A new stochastic diffusion model for influence maximization in social networks. [PDF]
Sci Rep, 2023 Rezvanian A, Vahidipour SM, Meybodi MR.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.To address the tradeoff between synaptic linearity and operating speed, a Cu ion‐based ultrathin electrochemical random‐access memory is engineered using a 1.2 nm AlOx liner and 5 nm HfOx layer. The device exhibits fast and uniform weight updates under 50 μs pulses, along with long retention and high endurance, paving the way for robust synaptic units ...
Seonuk Jeon +3 more
wiley +1 more source