Finding New Perovskite Halides via Machine Learning

Frontiers in Materials - Switzerland
doi 10.3389/fmats.2016.00019
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Frontiers Media SA

Related search

Orbital-Free Bond Breaking via Machine Learning

Journal of Chemical Physics
MedicineTheoretical ChemistryAstronomyPhysicsPhysical
2013English

Identifying Asperity Patterns via Machine Learning Algorithms

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
2016English

Understanding Large Text Corpora via Sparse Machine Learning

Statistical Analysis and Data Mining
Computer Science ApplicationsInformation SystemsAnalysis
2013English

BAVC: Classifying Benign Atomicity Violations via Machine Learning

2013English

How Machine Learning Can Help Select Capping Layers to Suppress Perovskite Degradation

2020English

Finding Missed Cases of Familial Hypercholesterolemia in Health Systems Using Machine Learning

npj Digital Medicine
2019English

Chemical and Structural Diversity of Hybrid Layered Double Perovskite Halides

Journal of the American Chemical Society
BiochemistryColloidCatalysisChemistrySurface Chemistry
2019English

Survey of Biometric Pattern Recognition via Machine Learning Techniques

Contemporary Engineering Sciences
Materials ScienceMutagenesisComputer NetworksFluid FlowCommunicationsEngineeringHealthTransfer ProcessesToxicologySocial Sciences
2018English

New Machine Learning Developments in ROOT/TMVA

EPJ Web of Conferences
AstronomyPhysics
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy