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   Articles with "data driven" as a keyword



Data-Driven Materials Innovation and Applications.

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recommendations! Published in 2022 at "Advanced materials"

DOI: 10.1002/adma.202104113

Abstract: Owing to the rapid developments to improve the accuracy and efficiency of both experimental and computational investigative methodologies, the massive amounts of data generated have led the field of materials science into the fourth paradigm… read more here.

Keywords: innovation applications; material innovation; innovation; driven materials ... See more keywords

Machine Learning-Driven Nanoscale Synthesis for Electrocatalytic Performance: From Data-Driven Methodologies to Closed-Loop Optimization.

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recommendations! Published in 2025 at "Advanced materials"

DOI: 10.1002/adma.202508263

Abstract: The rational design of functional nanomaterials is fundamentally challenged by complex synthesis-structure-performance relationships and vast design spaces that defy conventional trial-and-error methods. In particular, nanomaterials have become integral to electrocatalysis, where their tunable surface structures… read more here.

Keywords: machine learning; performance; synthesis; data driven ... See more keywords

Machine Learning Descriptors for Data-Driven Catalysis Study.

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recommendations! Published in 2023 at "Advanced science"

DOI: 10.1002/advs.202301020

Abstract: Traditional trial-and-error experiments and theoretical simulations have difficulty optimizing catalytic processes and developing new, better-performing catalysts. Machine learning (ML) provides a promising approach for accelerating catalysis research due to its powerful learning and predictive abilities.… read more here.

Keywords: catalysis; learning descriptors; machine learning; data driven ... See more keywords
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Data‐Driven Design of Mechanically Hard Soft Magnetic High‐Entropy Alloys

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recommendations! Published in 2025 at "Advanced Science"

DOI: 10.1002/advs.202500867

Abstract: The design and optimization of mechanically hard soft magnetic materials, which combine high hardness with magnetically soft properties, represent a critical frontier in materials science for advanced technological applications. To address this challenge, a data‐driven… read more here.

Keywords: entropy alloys; soft magnetic; data driven; mechanically hard ... See more keywords

Data‐Driven Safety Risk Prediction of Lithium‐Ion Battery

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recommendations! Published in 2021 at "Advanced Energy Materials"

DOI: 10.1002/aenm.202003868

Abstract: Inevitable safety issues have pushed battery engineers to become more conservative in battery system design; however, battery‐involved accidents still frequently are reported in headlines. Identifying, understanding, and predicting safety risks have become priorities to further… read more here.

Keywords: data driven; safety; lithium ion; safety risk ... See more keywords

Emerging Strategies for CO2 Photoreduction to CH4: From Experimental to Data‐Driven Design

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recommendations! Published in 2022 at "Advanced Energy Materials"

DOI: 10.1002/aenm.202200389

Abstract: The solar‐energy‐driven photoreduction of CO2 has recently emerged as a promising approach to directly transform CO2 into valuable energy sources under mild conditions. As a clean‐burning fuel and drop‐in replacement for natural gas, CH4 is… read more here.

Keywords: ch4; co2 photoreduction; design; data driven ... See more keywords

A comparison of physics‐based, data‐driven, and hybrid modeling approaches for rice phenology prediction

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recommendations! Published in 2025 at "Agronomy Journal"

DOI: 10.1002/agj2.70010

Abstract: Accurate prediction of paddy rice (Oryza sativa L.) phenology is necessary for informing field management and improving yield. There exist different ways, including physics‐based, data‐driven, and hybrid approaches, to make rice phenology prediction. However, few… read more here.

Keywords: rice; prediction; data driven; model ... See more keywords
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The Future of Data‐Driven Wound Care

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recommendations! Published in 2018 at "AORN Journal"

DOI: 10.1002/aorn.12102

Abstract: Care for patients with chronic wounds can be complex, and the chances of poor outcomes are high if wound care is not optimized through evidence-based protocols. Tracking and managing every variable and comorbidity in patients… read more here.

Keywords: data driven; wound care; driven wound; future data ... See more keywords

Using generative AI to co‐design data‐driven stories

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recommendations! Published in 2025 at "Journal of the Association for Information Science and Technology"

DOI: 10.1002/asi.70036

Abstract: Data storytelling combines communication and visualization techniques with storytelling principles to convey insights meaningfully and engagingly. This paper introduces the AI‐DIKW framework, an extension of the Story Data–Information–Knowledge–Wisdom (S‐DIKW) hierarchy, designed to support the co‐creation… read more here.

Keywords: driven stories; stage; story; data driven ... See more keywords

Computationally-Light Non-Lifted Data-Driven Norm-Optimal Iterative Learning Control

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recommendations! Published in 2018 at "Asian Journal of Control"

DOI: 10.1002/asjc.1569

Abstract: Computational complexity and model dependence are two significant limitations on lifted norm optimal iterative learning control (NOILC). To overcome these two issues and retain monotonic convergence in iteration, this paper proposes a computationally-efficient non-lifted NOILC… read more here.

Keywords: non lifted; optimal iterative; norm optimal; control ... See more keywords

A Comprehensive Degradation Modeling Comparison From Statistical to Artificial Intelligence Models for Curing Oven Chains

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recommendations! Published in 2025 at "Applied Stochastic Models in Business and Industry"

DOI: 10.1002/asmb.2930

Abstract: The limitations of physics‐based models and the constraints posed by data‐driven models have motivated the development of fusion models for degradation modeling. These fusion models are designed to overcome the shortcomings inherent to either type… read more here.

Keywords: degradation modeling; fusion models; data driven; physics ... See more keywords