Detalhe da pesquisa
1.
High-Throughput Electrochemistry to Study Materials Degradation in Extreme Environments.
Anal Chem
; 94(48): 16528-16537, 2022 12 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36419231
2.
Aggressively optimizing validation statistics can degrade interpretability of data-driven materials models.
J Chem Phys
; 155(5): 054105, 2021 Aug 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34364331
3.
A high-throughput investigation of Fe-Cr-Al as a novel high-temperature coating for nuclear cladding materials.
Nanotechnology
; 26(27): 274003, 2015 Jul 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-26086841
4.
One-step production of long-chain hydrocarbons from waste-biomass-derived chemicals using bi-functional heterogeneous catalysts.
Phys Chem Chem Phys
; 16(7): 3047-54, 2014 Feb 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-24394495
5.
Exploiting redundancy in large materials datasets for efficient machine learning with less data.
Nat Commun
; 14(1): 7283, 2023 Nov 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37949845
6.
Integrated High-Throughput and Machine Learning Methods to Accelerate Discovery of Molten Salt Corrosion-Resistant Alloys.
Adv Sci (Weinh)
; 9(20): e2200370, 2022 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-35524640
7.
A combinatorial characterization scheme for high-throughput investigations of hydrogen storage materials.
Sci Technol Adv Mater
; 12(5): 054207, 2011 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-27877434
8.
Characterization data of an (AlFeNiTiVZr)1-xCrx multi-principal element alloy continuous composition spread library.
Data Brief
; 34: 106758, 2021 Feb.
Artigo
em Inglês
| MEDLINE | ID: mdl-33537375
9.
Exploring the First High-Entropy Thin Film Libraries: Composition Spread-Controlled Crystalline Structure.
ACS Comb Sci
; 22(12): 858-866, 2020 12 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-33146510
10.
A High-Throughput Structural and Electrochemical Study of Metallic Glass Formation in Ni-Ti-Al.
ACS Comb Sci
; 22(7): 330-338, 2020 07 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-32496755
11.
On-the-fly closed-loop materials discovery via Bayesian active learning.
Nat Commun
; 11(1): 5966, 2020 Nov 24.
Artigo
em Inglês
| MEDLINE | ID: mdl-33235197
12.
Publisher Correction: Exploiting redundancy in large materials datasets for efficient machine learning with less data.
Nat Commun
; 15(1): 284, 2024 Jan 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-38177139
13.
Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics.
MRS Commun
; 9(3)2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-32166045
14.
An Inter-Laboratory Study of Zn-Sn-Ti-O Thin Films using High-Throughput Experimental Methods.
ACS Comb Sci
; 21(5): 350-361, 2019 05 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-30888788
15.
Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments.
Sci Adv
; 4(4): eaaq1566, 2018 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-29662953
16.
Demonstration of magnetoelectric scanning probe microscopy.
Rev Sci Instrum
; 78(10): 106103, 2007 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-17979459
17.
Automated Phase Segmentation for Large-Scale X-ray Diffraction Data Using a Graph-Based Phase Segmentation (GPhase) Algorithm.
ACS Comb Sci
; 19(3): 137-144, 2017 03 13.
Artigo
em Inglês
| MEDLINE | ID: mdl-28125201
18.
The Different Roles of Entropy and Solubility in High Entropy Alloy Stability.
ACS Comb Sci
; 18(9): 596-603, 2016 09 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-27494349
19.
Self-healing catalysts: Co(3)O(4) nanorods for Fischer-Tropsch synthesis.
Chem Commun (Camb)
; 50(35): 4575-8, 2014 May 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-24668124
20.
Combinatorial approach to turbine bond coat discovery.
ACS Comb Sci
; 15(8): 419-24, 2013 Aug 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-23697965