Results 151 to 160 of about 6,390 (262)

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Experimental design and performance evaluation of a solar panel-based visible light communication system for greenhouse applications. [PDF]

Sci Rep
Morales GC, Játiva PP, Dujovne D, Ahumada L, Meza CA, Salazar IS, Soto I, Arancibia CS.   +7 more
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Experimental comparative analysis of solar thermal and photovoltaic integrated vapor absorption refrigeration systems for low-GWP sustainable cooling under tropical conditions. [PDF]

Sci Rep
Selvaraj DA, Nadimuthu LPR, Victor K, Al Bustanji S, Panchyk M.   +4 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Martian ionospheric response during the may 2024 solar superstorm. [PDF]

Nat Commun
Parrott J, Sánchez-Cano B, Svedhem H, Witasse O, Meggi D, Wilson C, Cardesín-Moinelo A, Müller-Wodarg I.   +7 more
europepmc   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

High-Frequency Skywave Source Geolocation Using Deep Learning-Based TDOA Estimation and Bias-Regularized Semidefinite Programming with Field Evaluation. [PDF]

Sensors (Basel)
Xu C, Ai H, He L, Hu C, Chen S, Li Z, Liu X.   +6 more
europepmc   +1 more source

Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion

Advanced Intelligent Systems, EarlyView.
Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up architecture. A 58‐bit on‐board CMOS chiplet enables sensor–program steered switching between independently addressable actuators, achieving closed‐loop 2D navigation in
Vineeth K. Bandari, Yeji Lee, Pranathi Adluri, Daniil Karnaushenko, Dmitriy D. Karnaushenko, John S. McCaskill, Oliver G. Schmidt   +6 more
wiley   +1 more source

Development and implementation of a model predictive control system for a solar parabolic trough plant influenced by an advanced meteorological disturbance model. [PDF]

Sci Rep
Kalanithi K, Samuel GG, Malathi M, R Venkatesan.   +3 more
europepmc   +1 more source