UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

Nature communications, 2018-04, Vol.9 (1), p.1668-9, Article 1668

2018

Volltextzugriff (PDF)

Accelerated search for materials with targeted properties by adaptive design

Nature communications, 2016-04, Vol.7 (1), p.11241-11241, Article 11241

2016

Volltextzugriff (PDF)

Accelerated Discovery of Large Electrostrains in BaTiO3‐Based Piezoelectrics Using Active Learning

Advanced materials (Weinheim), 2018-02, Vol.30 (7), p.n/a

2018

Volltextzugriff (PDF)

Adaptive Strategies for Materials Design using Uncertainties

Scientific reports, 2016-01, Vol.6 (1), p.19660-19660, Article 19660

2016

Volltextzugriff (PDF)

Multi-objective Optimization for Materials Discovery via Adaptive Design

Scientific reports, 2018-02, Vol.8 (1), p.3738-12, Article 3738

2018

Volltextzugriff (PDF)

Learning from data to design functional materials without inversion symmetry

Nature communications, 2017-02, Vol.8 (1), p.14282-14282, Article 14282

2017

Volltextzugriff (PDF)

Skyrmionics—Computing and memory technologies based on topological excitations in magnets

Journal of applied physics, 2021-08, Vol.130 (7)

2021

Volltextzugriff (PDF)

A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys

Scientific reports, 2022-07, Vol.12 (1), p.11591-11591, Article 11591

2022

Volltextzugriff (PDF)

Materials Prediction via Classification Learning

Scientific reports, 2015-08, Vol.5 (1), p.13285-13285, Article 13285

2015

Volltextzugriff (PDF)

Phase classification of multi-principal element alloys via interpretable machine learning

npj computational materials, 2022-02, Vol.8 (1), p.1-12, Article 25

2022

Volltextzugriff (PDF)

Identifying the 'inorganic gene' for high-temperature piezoelectric perovskites through statistical learning

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2011-08, Vol.467 (2132), p.2271-2290

2011

Volltextzugriff (PDF)

Polarization screening-induced magnetic phase gradients at complex oxide interfaces

Nature communications, 2015-04, Vol.6 (1), p.6735-6735, Article 6735

2015

Volltextzugriff (PDF)

Machine learning guided design of functional materials with targeted properties

Computational materials science, 2019-06, Vol.164, p.82-90

Balachandran, Prasanna V.

2019

Volltextzugriff (PDF)

Adaptive machine learning for efficient materials design

MRS bulletin, 2020-07, Vol.45 (7), p.579-586

Balachandran, Prasanna V.

2020

Volltextzugriff (PDF)

Density functional theory study of energetics, local chemical environment and magnetic properties in a high-entropic MnNiSi0.2Ge0.2Sn0.2Al0.2Ga0.2 intermetallic magnet

JPhys Energy, 2023-04, Vol.5 (2), p.024019

2023

Volltextzugriff (PDF)

Data-driven design of B20 alloys with targeted magnetic properties guided by machine learning and density functional theory

Journal of materials research, 2020-04, Vol.35 (8), p.890-897

Balachandran, Prasanna V.

2020

Volltextzugriff (PDF)

Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

npj computational materials, 2019-12, Vol.5 (1), Article 21

2019

Volltextzugriff (PDF)

Machine learning for materials design and discovery

Journal of applied physics, 2021-02, Vol.129 (7)

2021

Volltextzugriff (PDF)

An informatics approach to transformation temperatures of NiTi-based shape memory alloys

Acta materialia, 2017-02, Vol.125 (C), p.532-541

2017

Volltextzugriff (PDF)

Accelerated search for BaTiO₃-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

Proceedings of the National Academy of Sciences - PNAS, 2016-11, Vol.113 (47), p.13301-13306

2016

Volltextzugriff (PDF)

Machine-Learning-Enabled Prediction of Adiabatic Temperature Change in Lead-Free BaTiO3‑Based Electrocaloric Ceramics

ACS applied materials & interfaces, 2021-11, Vol.13 (45), p.53475-53484

2021

Volltextzugriff (PDF)

Chemical gradients in human enamel crystallites

Nature (London), 2020-07, Vol.583 (7814), p.66-71

2020

Volltextzugriff (PDF)

Interplay of octahedral rotations and breathing distortions in charge-ordering perovskite oxides

Physical review. B, Condensed matter and materials physics, 2013-08, Vol.88 (5), Article 054101

2013

Volltextzugriff (PDF)

An atomically tailored chiral magnet with small skyrmions at room temperature

Communications physics, 2023-12, Vol.6 (1), p.327-7, Article 327

2023

Volltextzugriff (PDF)

Tunable magnetic skyrmions in ferrimagnetic Mn4N

Applied physics letters, 2021-11, Vol.119 (19)

2021

Volltextzugriff (PDF)

1 – 25 von 95

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(87)
Mit Volltextzugriff
(84)

Publikationsform

Sprache

Englisch
(95)

Erscheinungsjahr

n.n

Thema

Science & Technology
(59)
Materials Science
(39)
Technology
(30)
Materials Science, Multidisciplinary
(27)
Physical Sciences
(24)
Machine Learning
(23)
Science & Technology - Other Topics
(20)
Physics
(19)
Physics, Applied
(17)
Crystal Structure
(13)
Multidisciplinary Sciences
(13)
Density Functional Theory
(11)
Chemistry
(8)
Thin Films
(8)
Applied Physics
(7)
Datasets
(7)
Informatics
(7)
Nanoscience & Nanotechnology
(7)
Artificial Intelligence
(6)
Chemistry, Physical
(6)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

Experimental search for high-temperature ferroelectric perovskites guided by two-step machine learning

Accelerated search for materials with targeted properties by adaptive design

Accelerated Discovery of Large Electrostrains in BaTiO3‐Based Piezoelectrics Using Active Learning

Adaptive Strategies for Materials Design using Uncertainties

Multi-objective Optimization for Materials Discovery via Adaptive Design

Learning from data to design functional materials without inversion symmetry

Skyrmionics—Computing and memory technologies based on topological excitations in magnets

A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys

Materials Prediction via Classification Learning

Phase classification of multi-principal element alloys via interpretable machine learning

Identifying the 'inorganic gene' for high-temperature piezoelectric perovskites through statistical learning

Polarization screening-induced magnetic phase gradients at complex oxide interfaces

Machine learning guided design of functional materials with targeted properties

Adaptive machine learning for efficient materials design

Density functional theory study of energetics, local chemical environment and magnetic properties in a high-entropic MnNiSi0.2Ge0.2Sn0.2Al0.2Ga0.2 intermetallic magnet

Data-driven design of B20 alloys with targeted magnetic properties guided by machine learning and density functional theory

Active learning in materials science with emphasis on adaptive sampling using uncertainties for targeted design

Machine learning for materials design and discovery

An informatics approach to transformation temperatures of NiTi-based shape memory alloys

Accelerated search for BaTiO₃-based piezoelectrics with vertical morphotropic phase boundary using Bayesian learning

Machine-Learning-Enabled Prediction of Adiabatic Temperature Change in Lead-Free BaTiO3‑Based Electrocaloric Ceramics

Chemical gradients in human enamel crystallites

Interplay of octahedral rotations and breathing distortions in charge-ordering perovskite oxides

An atomically tailored chiral magnet with small skyrmions at room temperature

Tunable magnetic skyrmions in ferrimagnetic Mn4N

Suchergebnisse filtern