2026 Ichiro Takeuchi: Materials Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Materials Science	78	2949	2849	831	781	436	23728

Overview

Ichiro Takeuchi is affiliated with the University of Maryland, College Park, in the United States. Their research primarily spans materials science and engineering, reflecting a strong interdisciplinary approach to studying complex material systems.

Their work explores several main fields and subfields of study, which include:

Materials Science
Engineering
Materials Chemistry
Electrical and Electronic Engineering
Artificial Intelligence
Electronic, Optical and Magnetic Materials
Condensed Matter Physics

Takeuchi has contributed extensively to topics related to materials properties and advanced computational techniques, notably:

Machine Learning in Materials Science
Electronic and Structural Properties of Oxides
Ferroelectric and Piezoelectric Materials
Multiferroics and related materials
Phase-change materials and chalcogenides
Magnetic and transport properties of perovskites and related materials
Advanced Memory and Neural Computing

Frequent venues where Takeuchi has published their research include:

arXiv (Cornell University)
Microscopy and Microanalysis
Applied Physics Letters
Physical Review Materials
Nature Communications

Notable recent papers authored by Takeuchi and collaborators are:

Materials, physics and systems for multicaloric cooling (2022) published in Nature Reviews Materials
High-throughput, combinatorial synthesis of multimetallic nanoclusters (2020) published in Proceedings of the National Academy of Sciences
High-performance multimode elastocaloric cooling system (2023) published in Science
Scaling of the strange-metal scattering in unconventional superconductors (2022) published in Nature
Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries (2022) published in Advanced Materials

Takeuchi has collaborated frequently with several researchers, including:

Xiaohang Zhang
Sergei V. Kalinin
Heshan Yu
Maxim Ziatdinov
A. Gilad Kusne

Best Publications

Exceptional power density and stability at intermediate temperatures in protonic ceramic fuel cells

Sihyuk Choi;Chris J. Kucharczyk;Chris J. Kucharczyk;Yangang Liang;Xiaohang Zhang

894
Citations
Combinatorial search of thermoelastic shape-memory alloys with extremely small hysteresis width

Jun Cui;Jun Cui;Yong S. Chu;Olugbenga O. Famodu;Yasubumi Furuya

787
Citations
Machine learning modeling of superconducting critical temperature

Valentin Stanev;Corey Oses;A. Gilad Kusne;Efrain Rodriguez

687
Citations
Programmable phase-change metasurfaces on waveguides for multimode photonic convolutional neural network.

Changming Wu;Heshan Yu;Seokhyeong Lee;Ruoming Peng

619
Citations
Combinatorial solid-state chemistry of inorganic materials

Hideomi Koinuma;Ichiro Takeuchi

543
Citations
Demonstration of high efficiency elastocaloric cooling with large ΔT using NiTi wires

Jun Cui;Yiming Wu;Jan Muehlbauer;Yunho Hwang

533
Citations
Combinatorial and High-Throughput Screening of Materials Libraries: Review of State of the Art

Radislav Potyrailo;Krishna Rajan;Klaus Stoewe;Ichiro Takeuchi

528
Citations
Universal Behavior and Electric-Field-Induced Structural Transition in Rare-Earth-Substituted BiFeO3

Daisuke Kan;Lucia Pálová;Varatharajan Anbusathaiah;Ching Jung Cheng

464
Citations
Doping BiFeO3: approaches and enhanced functionality.

Chan-Ho Yang;Daisuke Kan;Ichiro Takeuchi;Valanoor Nagarajan

432
Citations
Identification of a Blue Photoluminescent Composite Material from a Combinatorial Library

Jingsong Wang;Young Yoo;Chen Gao;Ichiro Takeuchi

427
Citations
Identification of Quaternary Shape Memory Alloys with Near‐Zero Thermal Hysteresis and Unprecedented Functional Stability

Robert Zarnetta;Ryota Takahashi;Ryota Takahashi;Marcus L. Young;Alan Savan

416
Citations
Fatigue-resistant high-performance elastocaloric materials made by additive manufacturing

Huilong Hou;Emrah Simsek;Tao Ma;Nathan S. Johnson

398
Citations
Combinatorial discovery of a lead-free morphotropic phase boundary in a thin-film piezoelectric perovskite

S. Fujino;M. Murakami;A. Varatharajan;S.-H. Lim

348
Citations
The 2019 materials by design roadmap

Kirstin Alberi;Marco Buongiorno Nardelli;Andriy Zakutayev;Lubos Mitas

344
Citations
Compositionally-tuned epitaxial cubic MgxZn1−xO on Si(100) for deep ultraviolet photodetectors

W. Yang;S. S. Hullavarad;B. Nagaraj;I. Takeuchi

343
Citations
A review of elastocaloric cooling: materials, cycles and system integrations.

Suxin Qian;Suxin Qian;Yunlong Geng;Yi Wang;Jiazhen Ling

343
Citations
On-the-fly Closed-loop Autonomous Materials Discovery via Bayesian Active Learning

A. Gilad Kusne;Heshan Yu;Changming Wu;Huairuo Zhang

329
Citations
Identification of novel compositions of ferromagnetic shape-memory alloys using composition spreads

Ichiro Takeuchi;O. Famodu;John C. Read;M. A. Aronova

319
Citations
On-the-fly machine-learning for high-throughput experiments: search for rare-earth-free permanent magnets

Aaron Gilad Kusne;Aaron Gilad Kusne;Tieren Gao;Apurva Mehta;Liqin Ke

309
Citations
Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies

M. L. Green;C. L. Choi;J. R. Hattrick-Simpers;A. M. Joshi

309
Citations
Combinatorial discovery of a lead-free morphotropic phase boundary in a thin-film piezoelectric perovskite

S. Fujino;M. Murakami;V. Anbusathaiah;S.-H. Lim

291
Citations
Monolithic multichannel ultraviolet detector arrays and continuous phase evolution in MgxZn1−xO composition spreads

I. Takeuchi;W. Yang;K.-S. Chang;M. A. Aronova

290
Citations
On-the-fly closed-loop materials discovery via Bayesian active learning.

A. Gilad Kusne;A. Gilad Kusne;Heshan Yu;Changming Wu;Huairuo Zhang

287
Citations