Results 101 to 110 of about 432 (251)

Metalearning‐Driven Inverse Optimization for Precision Microstructure Fabrication in Digital Light Processing Three‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi, Suhyeong Lim, Jeongsu Lee, Cheol Woo Ha   +3 more
wiley   +1 more source

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

Sub‐Micrometer‐Precision Path Following of Piezo‐Actuated Mobile Robot

Advanced Intelligent Systems, EarlyView.
This article reports on the Holonomic‐Beetle (HB), a palm‐sized robot that achieves sub‐micrometer (sub‐µm) precision path tracking across spatial ranges from 100 µm to 10 mm. Using proportional‐integral‐derivative (PID) control, the HB accurately tracks both complex and straight paths with sub‐µm path errors, surpassing existing robots.
Eiji Kusui, Chihiro Sekine, Taiki Goto, Ryosuke Kinoshita, Yuko Nishimura, Shogen Sekiguchi, Satoshi Ando, Yuto Oishi, Yusuke Matsui, Ohmi Fuchiwaki   +9 more
wiley   +1 more source

Bayesian Optimisation for the Experimental Sciences: A Practical Guide to Data‐Efficient Optimisation of Laboratory Workflows

Advanced Intelligent Systems, EarlyView.
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He, Martin Singull, T. Jesper Jacobsson   +2 more
wiley   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source

Scalable High‐Force Zipping Electrostatic Actuators

Advanced Intelligent Systems, EarlyView.
An electrostatic actuator architecture is presented that combines high energy density with forces and strokes suited for wearable soft robotics. By folding patterned thin films into a scalable honeycomb of zipping units, performance becomes tunable through series–parallel design, achieving over 40 N and 28 J/kg.
Fabio Caruso, Amir Firouzeh, Herbert Shea   +2 more
wiley   +1 more source

Micro/nanorobots for detecting and eliminating biological and chemical warfare agents

BMEMat, EarlyView.
Fuel‐powered and field‐driven micro/nanorobots provide a cutting‐edge platform to safeguard national security and defense. This review reports the latest research progress in micro/nanorobots in sensing and detoxifying biological and chemical warfare agents.
Song Li, Huaijuan Zhou, Di Shi, Zdeněk Sofer, Jinhua Li   +4 more
wiley   +1 more source

Enhancing the d–Electrocatalytic Activity of MXene Through Defect Engineering

Carbon Energy, EarlyView.
Applications of MXene. ABSTRACT Due to their versatile and tunable surface and bulk chemistry, MXenes have great potential as electrocatalysts for batteries and supercapacitors. When compared with other electrocatalytic processes, in electrocatalytic reactions, MXenes could improve ion diffusion and charge transfer by either providing functional groups
Chenxue Wang, Zixin Wang, Wen Lei, Haijun Zhang, Yuhua Wang   +4 more
wiley   +1 more source

Predicting solar cell efficiencies using historical data from a manufacturing process

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract The solar cell manufacturing data of a passivated emitter and rear cell solar cell manufacturing plant was studied to assess the effects of tool usage and the processing time spent on each tool on the solar cell efficiency. Since manufacturing processes involve several steps with multiple tools, tracing their quality parameters back to the ...
Sushmita Mittra, Vinay Prasad
wiley   +1 more source

Quantum Monte Carlo for Quantum-dot Cellular Automata

, 2017
A fast solver that can find ground state solutions while providing information about the occupation of states in quantum annealing (QA) systems is very desirable. The path-integral Quantum Monte Carlo (QMC) as described by Martonak et al. is an interesting candidate due to having been modeled on physical quantum annealing [1]. While this implementation
openaire   +1 more source