Results 211 to 220 of about 115,334 (309)

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

Advanced Intelligent Systems, EarlyView.
The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of a nanoporous network of volatile niobium oxide memristors sandwiched between top and bottom metallic electrodes, and then tested for prediction and ...
Joshua Donald, Ben A. Johnson, Amir Mehrnejat, Alex Gabbitas, Arthur G. T. Coveney, Alexander G. Balanov, Sergey Savel’ev, Pavel Borisov   +7 more
wiley   +1 more source

Transient modeling and performance evaluation of a solar-driven HDH desalination system with phase change material storage. [PDF]

Sci Rep
Mohammad SI, Jawad M, Vasudevan A, Faisal ZA, Kamolova N, Sharma MK, Shaaban Z, AlMohamadi H, Aladdin M.   +8 more
europepmc   +1 more source

Wireless, Battery‐Free Wearable Pressure Sensor for Compression Therapy Entirely Built on Surface Mount Devices

Advanced Intelligent Systems, EarlyView.
This work presents a flexible, battery‐free sensor that forms a closed‐loop feedback system for smart compression therapy devices. Its scalable surface‐mount manufacturing, compact form factor, and wireless communication enable seamless integration with a wide range of active compression garments, improving user experience and therapeutic outcomes ...
Sinuo Zhao, Hongru Chen, Isaac Seeto, Phuoc Thien Phan, Chi Cong Nguyen, Tran Bach Dang, Kefan Zhu, Michael Listyawan, Minh Cuong Duong, Alice Ma, Thanh Nho Do, Hoang‐Phuong Phan   +11 more
wiley   +1 more source

Daily transient analysis of an integrated solar-driven direct contact membrane distillation for cogeneration production of freshwater and electricity. [PDF]

Sci Rep
Salavat AK, Ziapour BM.
europepmc   +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

Experimental performance, exergy, and economic analysis of an oval tubular solar still integrated with nano-enhanced phase change material. [PDF]

Sci Rep
Aly WIA, Tolba MA, Abdelmagied M.
europepmc   +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 1-Tetradecanol-1, 10-Decanediol Binary Eutectic Mixture/Expanded Graphite Composite Phase Change Materials for Thermal Energy Storage. [PDF]

Materials (Basel)
Yi J, Hu R, Zhan G, Zeng Q, Zou J, Xie Y, You S.   +6 more
europepmc   +1 more source

Improving intermittent waste heat recovery with ORC systems by integrating thermal energy storage [PDF]

, 2019
Beyne, Wim, Couvreur, Kenny, De Paepe, Michel, Lecompte, Steven, Vanslambrouck, Bruno   +4 more
core   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source