Takeuchi, Ichiro
Fellow, APS
Fellow, Japan Society of Applied Physics
Maryland Energy Innovation Institute
EDUCATION
Ph.D., University of Maryland, College Park, 1996
B.S., Caltech, 1987
HONORS AND AWARDS
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NIST Distinguished Associate Accolade, Materials Measurement Laboratory (2021)
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Elected International Fellow, Japan Society of Applied Physics (2020)
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Distinguished Scholar - Teacher, University of Maryland (2018)
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Senior Faculty Research Achievement Award, School of Engineering, University of Maryland (2018)
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Elected APS Fellow (2011)
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Invention of the Year Award, Physical Sciences Category, University of Maryland (2011)
- Visiting Associate Professor, Institute for Solid State Physics, University of Tokyo, Kashiwa, Japan (4/2007—8/2007)
- Fellow by Special Appointment, Japan Science and Technology Agency (2007)
- Visiting Associate Professor, Applied Ceramics Laboratory, Tokyo Institute of Technology, Yokohama, Japan (6/2004—3/2005)
- NSF CAREER Award (2001)
- Office of Naval Research, Young Investigator Program Award (2000)
- Oak Ridge Associated Universities Ralph E. Powe Junior Faculty Enhancement Award (2000)
- General Research Board Semester Research Award, University of Maryland (2000)
- Associated Western Universities Postdoctoral Research Fellowship (1996-1999)
- National Center for Electron Microscopy Visiting Scientist Fellowship, Lawrence Berkeley National Laboratory (1999)
PROFESSIONAL MEMBERSHIPS
- American Physical Society
- Materials Research Society
- TMS
Applications of combinatorial synthesis and characterization methodology to electronic, magnetic and smart materials; fabrication and characterization of novel multilayer thin-film devices; machine learning for materials science, caloric cooling materials and devices
Combinatorial Investigation of Functional Materials
We have developed a comprehensive methodology for rapid mapping of previously unexplored compositional landscape in search of novel multifunctional materials. A variety of thin film deposition tools are implemented for synthesis of combinatorial thin film libraries and composition spreads of various designs. A suite of rapid characterization tools are utilized for quantitative mapping of relevant physical properties across combinatorial libraries. These include microwave microscopes, a scanning magneto-optical Kerr measurement setup and scanning x-ray diffractometers. Current topics of interest include magnetistrictive materials, multiferroic materials, and shape memory alloys. Our recent emphasis has also been on development of informatics techniques to effectively handle, visualize, and analyze the large amount of data which are generated from the combinatorial experiments. We have a network of international collaborators with whom a number of combinatorial experiments are carried out at any given time.
Learn more about combinatorial materials science
- See also:
Novel Multilayer Thin Film Devices
Previously I had worked on fabrication and characterization of superconducting thin film devices for over 10 years. My interest in novel functional devices now spans a range of other materials including magnetic materials and various smart materials. Our current projects include various multilayer multiferroic devices.
Scanning Probe Microscopy
Many of the rapid characterization tools used for screening combinatorial libraries are scanning probe microscopes. For instance, we work extensively with scanning SQUID microscopes (in collaboration with Neocera, Inc.) and scanning microwave microscopes. We have recently demonstrated high sensitivity scanning magnetic probe microscopy using a magnetoelectric device. Our current project includes development of novel microwave microscopy combined with atomic resolution STM for performing spin resonance measurements.
Current and Recent Group Members Include:
- A. Gilad Kusne (NIST)
- Valentin Stanev
- Xiaohang Zhang
- Tieren Gao
- Heshan Yu
- Rohit Pant
Graduate Students
- Jihun Park
- Haotong Liang
- Felix Adams
- Chih-Yu Lee
- Ricmond Wang
- Boyang Liu
- Thomas Wong
- Logan Saar
- Dylan Kirsch
- Samuel Freed
- Sabrina Curtis
- Justin Pearson
Undergraduate Students
ENMA 460/PHYS 431 Introduction to Solid State Physics
ENMA 437/637 Machine Learning for Materials Science
ENMA 481 Electronic and Optical Materials
ENMA 465 Microprocessing
Publications list
For a closer look at our research, take a look at the video links below:
- Made of Star Stuff - PhD Student Justin Pearson, advised by Prof Takeuchi, discusses his thin film research.
- Robot (Materials) Science: Can Watson Beat Edison?
- Combinatorial Time Lapse
- Dwight Quench: We have developed a technique where an entire thin film on a wafer can be quenched from a high temperature. In the movie, a thin-film composition spread wafer mounted inside a narrow high-vacuum chamber pumped by a cryopump is annealed in a furnace at 800 C. For quenching the wafer, it is “quickly” pulled out of the furnace, and the chamber is dunked in an ice bucket. This results in formation of quenched thin film phases as reported in Ref. 102, Applied Surface Science 254, 725 (2007) and Ref. 147, Nature Communications 2, 518.
- FeCoNi XRD contourslices-2: Visualization of X-ray diffraction patterns from the entire Fe-Co-Ni composition spread. The big triangular shaped blob corresponds to the main fcc peak showing significant shift as a function of composition. The thin oval blob near the Fe end is the bcc main peak. Shown on the cover of Ref. 95.
- IchiroCombi with Targets: Combinatorial pulsed laser deposition of epitaxial oxide thin films. The movie shows the synthesis process of an epitaxial composition spread onto a heated substrate. Two targets (with end compositions) are used to deposit alternating ultrathin gradient thickness wedges using a synchronized moving shutter gliding over the substrate. The thickness of the wedge is designed to be less than a unitcell. The deposition of hundreds of wedges results in mixing of the end compositions at the unitcell level during the deposition at an elevated temperature. The composition continuously varies on the substrate from one end composition to the other. Each composition spread sample is roughly 7-10 mm long. This technique is used for continuous substitution experiments. See for instance, Ref. 71,72, 85, 100.
- XRDSuite: demo of early combinatorial X-ray diffraction data visualization and analysis tool. One can see a large number of diffraction patterns in a number of different ways.
- NiMnAl – Sepctrum Scroller: Another demo movie of XRDSuite.
- NiMnAl – Peak Plotter (Full Spectrum with Mag): Comparison of diffraction patterns of Ni-Mn-Al composition spread and magnetism. With one look, one can see which diffraction peaks (and phases) are responsible for the composition regions with strong remnant magnetization (measured by scanning SQUID).
- Demo of CombiView: software to carry out rapid visualization and cluster analysis of a large number of diffraction patterns taken from combinatorial libraries.
Eminent Scholar in Metallurgy To Join Clark School as Distinguished Chair
The new faculty member will join Materials Science and Engineering in 2025.Maryland Engineering and Partners Win $26M to Develop Better HVACR Systems and Fight Climate Change
Clark School faculty and partners join prestigious U.S. National Science Foundation Engineering Research Center.Maryland Public Television Highlights UMD Research on Groundbreaking Cooling Technology
Researchers are developing an innovative, climate-friendly solutionElastocalorics named 1 of 10 emerging technologies addressing global challenges
The World Economic Forum lists most impactful technologiesIchiro Takeuchi Elected Fellow of the Materials Research Society
The professor becomes the second in the department to earn this lifetime distinction.LEGOLAS participates at U.S. Senate Robotics Showcase on Capitol Hill
UMD engineers demonstrate their autonomous robot science kitCould Eco-Friendly Elastocaloric Cooling Be the Future of Air-Conditioning Technology?
CEEE publishes paper about “cool” technologyReflecting on 20 Years of Excellence and Innovation
Materials Science and Engineering celebrated its anniversary on November 7, 2023.Elastocaloric Cooling System Developed by Clark School Faculty Featured in Science
Greener Approach to Refrigeration DevelopedCrank Up the AC, Not Global Warming
Maryland engineers advance heating and cooling technology to push for a greener futureTen Maryland MSE Faculty Members Ranked in Top 2% of World Scientists
Elsevier releases updated science-wide databaseUMD and NIST develop LEGO-based robots for teaching artificial intelligence
LEGOLAS kit offers autonomous experimentation and learningMaterials, physics, and systems for multicaloric cooling
UMD’s Ichiro Takeuchi published in Nature Reviews Materials10 Maryland MSE Faculty Members Ranked in Top 2% of World Scientists
Report prepared by Stanford University experts.ARL to Fund $30M in Equipment Innovations for Service Members
UMD announces with the U.S. Army Research Lab agreements in additive manufacturing and battery research.Ichiro Takeuchi Named Fellow of the Japan Society of Applied Physics
The JSAP Fellow International Award recognizes significant contributions of scientists who reside outside of Japan.MSE Ph.D. Candidate Receives NSF Graduate Research Fellowship
Dylan Kirsch, on track to complete his Ph.D. in 2022, is focused on high-performing thermoelectrics.UMD receives two new DOE Building Technologies awards
Takeuchi and Aute to lead projectsMSE Ranked #23 by U.S. News and World Report
UMD’s Materials Science and Engineering Department hits #23 in U.S. graduate school rankings – its highest ranking yet.Additive Manufacturing and Ni-Ti Metal Bolster Cooling Technology
UMD’s Ichiro Takeuchi and team published in Science.The Future of Cool: Additive Manufacturing and Ni-Ti Metal Bolster Cooling Technology
UMD’s Ichiro Takeuchi and team published in Science.UMD Hosts 4th Annual Machine Learning Bootcamp and Workshop
Hosted by the Clark School in the Kim Engineering Building August 5 - 9, 2019.Perfect Quantum Portal Emerges at Exotic Interface
A junction between an ordinary metal and a special kind of superconductor has provided a robust platform to observe Klein tunneling.Algorithms and Autonomous Discovery
Professor Ichiro Takeuchi uses machine learning to help develop new magnetic materials.UMD Research Team Develops Compact Solid State Cooling Technology
Device will have broad application, from cooling laptops to treating epilepsy.New Fuel Cell has Exceptional Power Density and Stability
Discovery presents a significant step toward lower fuel cell costs and more sustainable energy.Catalini and Leininger win 2017 GDF-Suez Chuck Edwards Memorial Fellowships
Fellowships of $25,000 each help fund the students’ research.UMD has Largest University Showing at 2016 ARPA-E Summit
UMD researchers showcase transformative energy research at ARPA-E Energy Innovation SummitUMERC Researchers Came Out in Force at the ARPA-E Summit
UMERC Faculty promoted their transformative energy research last week at the ARPA-E Energy Innovation SummitDOE Report Considers Potential of Thermoelastic Cooling
Technology developed in the Clark School could power more efficient air conditioning.Save the Date: NanoDay, June 11 -- Poster Session, Plenaries, EM Workshops and More
Registration and poster abstract submission will open soonNanoCenter Members Present Papers at Upcoming APS Meeting in Baltimore
Largest physics meeting hosts more than twenty NanoCenter presentationsUniversity of Maryland Wins ARPA-E Grant for Groundbreaking Energy Research
Professor Takeuchi and Wuttig received a $500,000 grant from DOE.Takeuchi, Multi-University Group Lead Materials Research
Departments of Defense, Energy fund $15M "combi" studies on superconductors, magnets.- Japan Society of Applied Physics, 2020
- APS, 2011