Results 201 to 210 of about 1,281,189 (302)

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Toward a Sustainable Energy Production System Based on Concentrated Solar Power Plants: Social and Water Availability Issues. [PDF]

ACS Sustain Chem Eng
Luceño-Sanchez JA, Martin M, Macchietto S.   +2 more
europepmc   +1 more source

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

Advanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei, Sadman Sadeed Omee, Rongzhi Dong, Nihang Fu, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Meiling Xu, Ming Hu, Chris Wolverton, Jianjun Hu   +9 more
wiley   +1 more source

Improved 28-day mortality prediction by combining Lactate Dehydrogenase-to-Albumin Ratio(LAR) to lactate-enhanced Sequential Organ Failure Assessment (SOFA) score in patients with sepsis: a derivation and validation study. [PDF]

BMC Infect Dis
Wang Z, You T, Liu Y, Li S, Xiao X, Shao B, Yao Y, Zhang Y, Lu Y, Huang F, Wang J.   +10 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

Zirconia Ceramics Doped with Ferrite for Solar Thermal Systems. [PDF]

Nanomaterials (Basel)
Rada V, Ungureşan ML, Rednic V, Rada S, Lungu F, Culea E.   +5 more
europepmc   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Ionospheric Response to the Severe Geomagnetic Storm of 19-21 January 2026 over Almaty (Kazakhstan) According to the Digisonde and GPS Data. [PDF]

Sensors (Basel)
Gordiyenko G, Litvinov Y, Zhiganbayev M, Grichshenko V, Nurakynov S, Andreyev A, Zhigalov V.   +6 more
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Solar-driven thermochemical tri-generation of electricity, hydrogen, and green ammonia with AI-assisted triple-objective optimization. [PDF]

Sci Rep
Ayadi B, Kriaa K, Alsayah AM, Sadeq AM, Singh NSS, Aich W, Hajlaoui K, Mostafa L.   +7 more
europepmc   +1 more source