Results 111 to 120 of about 106,398 (294)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

open access: yesAdvanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu   +3 more
wiley   +1 more source

Gradient Boosting Performs Gaussian Process Inference

open access: yes, 2023
This paper shows that gradient boosting based on symmetric decision trees can be equivalently reformulated as a kernel method that converges to the solution of a certain Kernel Ridge Regression problem.
Prokhorenkova, Liudmila   +2 more
core   +1 more source

Bioactive molecule prediction using extreme gradient boosting [PDF]

open access: yes, 2016
Following the explosive growth in chemical and biological data, the shift from traditional methods of drug discovery to computer-aided means has made data mining and machine learning methods integral parts of today's drug discovery process. In this paper,
Faisal Saeed   +3 more
core   +1 more source

On the Convergence of Multicalibration Gradient Boosting

open access: yesCoRR
Under ...
Daniel Haimovich   +4 more
openaire   +2 more sources

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

open access: yesAdvanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades   +7 more
wiley   +1 more source

Parallel Gradient Boosting based Granger Causality Learning

open access: yes, 2020
2019 IEEE International Conference on Big Data 9-12 Dec. 2019Granger causality and its learning algorithms have been widely used in many disciplines to study cause-effect relationship among time series variables.
Liuy, Chen   +3 more
core   +1 more source

Enhancing wellbore stability through machine learning for sustainable hydrocarbon exploitation

open access: yesScientific Reports
Wellbore instability manifested through formation breakouts and drilling-induced fractures poses serious technical and economic risks in drilling operations.
Mohatsim Mahetaji, Jwngsar Brahma
doaj   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

open access: yesAdvanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil   +14 more
wiley   +1 more source

Flexible Ag2Se‐Based Thermoelectrics: Fundamentals, Processing, and Device Applications

open access: yesAdvanced Materials, EarlyView.
Ag2Se‐based thermoelectrics are reviewed from fundamental transport mechanisms to flexible device integration. Crystal structure, defect chemistry, and band features are correlated with performance optimization strategies and scalable fabrication routes.
Jie Qin   +5 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

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