Results 151 to 160 of about 3,002,307 (310)

Machine Learning Guided Design of Nerve‐On‐A‐Chip Platforms with Promoted Neurite Outgrowth

Advanced Functional Materials, EarlyView.
Compared to labor‐intensive trial‐and‐error experimentation, a machine learning (ML)‐guided workflow, incorporating cell viability assays, data augmentation, ensemble modeling, and model interpretation, is developed to accelerate nerve‐on‐a‐chip optimization and uncover data‐driven design principles.
Tsai‐Chun Chung, Chu‐Chun Liang, Min‐Wei Huang, Tianle Chen, Joshua M. Little, Snehi Shrestha, Yi‐Chen Ethan Li, I‐Chi Lee, Po‐Yen Chen   +8 more
wiley   +1 more source

Enhancing medical diagnosis on chest X-rays: knowledge distillation from self-supervised based model to compressed student model

Discover Computing
Deep learning and self-supervised learning techniques have advanced, making it possible to diagnose medical images more accurately. Our goal in this work is to increase the accuracy of medical diagnosis using chest X-rays by utilising information ...
Jaydeep Kishore, Akshita Jain, K. Krishna Koushika, Pawan Kumar Mishra, Shekhar Karanwal, Surendra Solanki   +5 more
doaj   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

Molecular relaxation by reverse diffusion with time step prediction

Machine Learning: Science and Technology
Molecular relaxation, finding the equilibrium state of a non-equilibrium structure, is an essential component of computational chemistry to understand reactivity.
Khaled Kahouli, Stefaan Simon Pierre Hessmann, Klaus-Robert Müller, Shinichi Nakajima, Stefan Gugler, Niklas Wolf Andreas Gebauer   +5 more
doaj   +1 more source

Bimetallic Nanoparticles as Cocatalysts for Photocatalytic Hydrogen Production

Advanced Functional Materials, EarlyView.
Recent developments have introduced bimetallic nanoparticles as effective cocatalysts for photocatalytic systems. This review explores the rapidly expanding research on bimetallic cocatalysts for photocatalytic production of hydrogen, emphasizing the creation of carrier‐selective contacts, localized surface plasmon resonance effects, methodologies for ...
Yufen Chen, Asier Agrelo‐Lestón, Ignasi Burgués‐Ceballos, Jordi Llorca, Lluís Soler   +4 more
wiley   +1 more source

Bridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts

Advanced Functional Materials, EarlyView.
Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.
Yuhang Wang, Zelin Wu, Yingfang Jiang, Di Zhang, Qiang Wang, Congwei Wang, Huihui Li, Xue Jia, Jun Fan, Hao Li   +9 more
wiley   +1 more source

Bird flight call discrimination using machine learning [PDF]

, 1995
Andrew M. Taylor
openalex   +1 more source

Accelerated Discovery of High‐Performance PCFC Cathodes: Computational‐Experimental Optimization of Cobalt‐Substituted Ba0.95La0.05FeO3‐δ

Advanced Functional Materials, EarlyView.
An integrated computational–experimental strategy accelerates the discovery of high‐performance PCFC cathodes. Computational screening using machine learning interatomic potentials and targeted experiments identifies optimal cobalt substitution in Ba0.95La0.05FeO3‐δ, reducing area‐specific resistance by 58% at 500 °C.
Abdullah Tahir, Yuhao Wang, Jingwei Li, Yunfeng Tian, Francesco Ciucci   +4 more
wiley   +1 more source

Organizational learning and information systems : the case of monitoring information and control systems in machine bureaucratic organizations [PDF]

, 1995
Fons Wijnhoven
openalex   +1 more source

Battery‐Free, Wireless Multi‐Sensing Platform for Comprehensive Management of Pressure Injury and Hygiene

Advanced Functional Materials, EarlyView.
A battery‐free, wireless device for real‐time monitoring of pressure injury and hygiene integrates pressure (≈10 kPa), temperature (≈40 °C), and NH3 gas sensing with antibacterial functionality. Enabled by near‐field communication, it ensures simultaneous, interference‐free mechanical and chemical monitoring, offering a practical solution for pressure ...
Myungwoo Choi, Sunwoo Lee, Sang Won Kim, Ji Yeon Lee, Younghan Kim, Jewook Kim, Gye Hyeon Lee, Saehan Choi, Seonggwang Yoo, Hak‐Young Ahn, Taehoon Kim, Je‐Sang Lee, Weon Gi Min, Inkyu Park, Young‐Seok Shim, Yoon Sung Nam, Seokwoo Jeon, Jeong‐O Lee, Yong Suk Oh, Donghwi Cho   +19 more
wiley   +1 more source