Digital transformation in materials science: A paradigm change in material's development

J Kimmig, S Zechel, US Schubert - Advanced Materials, 2021 - Wiley Online Library
The ongoing digitalization is rapidly changing and will further revolutionize all parts of life.
This statement is currently omnipresent in the media as well as in the scientific community; …

From materials discovery to system optimization by integrating combinatorial electrochemistry and data science

HS Stein, A Sanin, F Rahmanian, B Zhang… - Current Opinion in …, 2022 - Elsevier
Insight generation from electrochemical experiments augmented by data science requires
broad, systematic, and well-defined parameter variations which build upon automation, data …

Accelerating materials research with a comprehensive data management tool: a case study on an electrochemical laboratory

NC Röttcher, GD Akkoc, S Finger, B Fritsch… - Journal of Materials …, 2024 - pubs.rsc.org
The pressing need for improved energy materials calls for an acceleration of research to
expedite their commercial application for the energy transition. To explore the vast amount of …

High‐throughput and combinatorial approaches for the development of multifunctional polymers

S Baudis, M Behl - Macromolecular Rapid Communications, 2022 - Wiley Online Library
High‐throughput (HT) development of new multifunctional polymers is accomplished by the
combination of different HT tools established in polymer sciences in the last decade …

Accelerating the adoption of research data management strategies

J Medina, AW Ziaullah, H Park, IE Castelli, A Shaon… - Matter, 2022 - cell.com
The need for good research data management (RDM) practices is becoming more
recognized as a critical part of research. This may be attributed to the 5V challenge in big …

Research data infrastructure for high-throughput experimental materials science

KR Talley, R White, N Wunder, M Eash, M Schwarting… - Patterns, 2021 - cell.com
Summary The High-Throughput Experimental Materials Database (HTEM-DB, htem. nrel.
gov) is a repository of inorganic thin-film materials data collected during combinatorial …

[HTML][HTML] Experimental data management platform for data-driven investigation of combinatorial alloy thin films

J Song, H Jo, T Kim, D Lee - APL Materials, 2023 - pubs.aip.org
Experimental materials data are heterogeneous and include a variety of metadata for
processing and characterization conditions, making the implementation of data-driven …

High-Throughput Characterization of (FexCo1–x)3O4 Thin-Film Composition Spreads

TH Piotrowiak, X Wang, L Banko, S Kumari… - ACS combinatorial …, 2020 - ACS Publications
Thin-film continuous composition spreads of Fe–Co–O were fabricated by reactive
cosputtering from elemental Fe and Co targets in reactive Ar/O2 atmosphere using …

Computationally accelerated experimental materials characterization--drawing inspiration from high-throughput simulation workflows

M Stricker, L Banko, N Sarazin, N Siemer… - arXiv preprint arXiv …, 2022 - arxiv.org
Computational materials science is increasingly benefitting from data management,
automation, and algorithm-based decision-making in controlling simulations. Experimental …

MatInf--an Extensible Open-Source Solution for Research Digitalisation in Materials Science

V Dudarev, L Banko, A Ludwig - arXiv preprint arXiv:2404.13722, 2024 - arxiv.org
Information technology and data science development stimulate transformation in many
fields of scientific knowledge. In recent years, a large number of specialized systems for …