Data-Driven Materials Innovation and Applications.
Sign Up to like & getrecommendations! 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 Descriptors for Data-Driven Catalysis Study.
Sign Up to like & getrecommendations! 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
Data‐Driven Safety Risk Prediction of Lithium‐Ion Battery
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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
The Future of Data‐Driven Wound Care
Sign Up to like & getrecommendations! 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
Computationally-Light Non-Lifted Data-Driven Norm-Optimal Iterative Learning Control
Sign Up to like & getrecommendations! 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
Data‐driven in silico prediction of regulation heterogeneity and ATP demands of Escherichia coli in large‐scale bioreactors
Sign Up to like & getrecommendations! Published in 2020 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.27568
Abstract: Escherichia coli exposed to industrial‐scale heterogeneous mixing conditions respond to external stress by initiating short‐term metabolic and long‐term strategic transcriptional programs. In native habitats, long‐term strategies allow survival in severe stress but are of limited… read more here.
Keywords: large scale; atp; escherichia coli; data driven ... See more keywords
Data-driven prediction models for forecasting multistep ahead profiles of mammalian cell culture toward bioprocess digital twins.
Sign Up to like & getrecommendations! Published in 2023 at "Biotechnology and bioengineering"
DOI: 10.1002/bit.28405
Abstract: Recently, the advancement in process analytical technology and artificial intelligence (AI) has enabled the generation of enormous culture data sets from biomanufacturing processes that produce various recombinant therapeutic proteins (RTPs), such as monoclonal antibodies (mAbs). Thus,… read more here.
Keywords: culture; cell culture; cell; multistep ahead ... See more keywords
An agile, data‐driven approach for target selection in rTMS therapy for anxiety symptoms: Proof of concept and preliminary data for two novel targets
Sign Up to like & getrecommendations! Published in 2023 at "Brain and Behavior"
DOI: 10.1002/brb3.2914
Abstract: Data‐driven approaches to transcranial magnetic stimulation (TMS) might yield more consistent and symptom‐specific results based on individualized functional connectivity analyses compared to previous traditional approaches due to more precise targeting. We provide a proof of… read more here.
Keywords: agile data; proof concept; data driven; target selection ... See more keywords
NMR Data‐Driven Docking of HDM2‐Inhibitor Complexes
Sign Up to like & getrecommendations! Published in 2022 at "ChemBioChem"
DOI: 10.1002/cbic.202100570
Abstract: We present an automated NMR‐guided docking workflow that can be used to generate models of protein‐ligand complexes based on data from NOE NMR experiments. The first step is to generate a number of intermolecular distance… read more here.
Keywords: hdm2; data driven; docking hdm2; hdm2 inhibitor ... See more keywords
A Data-Driven Fault Detection Approach with Performance Optimization†
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.22994
Abstract: This paper is concerned with the data-driven realization of fault detection approach with performance optimization. For our purpose, the data-driven realization form of linear kernel representations is studied first, which is essential in our work.… read more here.
Keywords: fault detection; detection approach; data driven; performance ... See more keywords