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Cho S, Gaponenko I, Cordero-Edwards K, Barceló-Mercader J, Arias I, Kim D, Lichtensteiger C, Yeom J, Musy L, Kim H, Han SM, Catalan G, Paruch P, Hong S. Switchable tribology of ferroelectrics. Nat Commun 2024; 15:387. [PMID: 38195614 PMCID: PMC10776724 DOI: 10.1038/s41467-023-44346-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 12/09/2023] [Indexed: 01/11/2024] Open
Abstract
Switchable tribological properties of ferroelectrics offer an alternative route to visualize and control ferroelectric domains. Here, we observe the switchable friction and wear behavior of ferroelectrics using a nanoscale scanning probe-down domains have lower friction coefficients and show slower wear rates than up domains and can be used as smart masks. This asymmetry is enabled by flexoelectrically coupled polarization in the up and down domains under a sufficiently high contact force. Moreover, we determine that this polarization-sensitive tribological asymmetry is widely applicable across various ferroelectrics with different chemical compositions and crystalline symmetry. Finally, using this switchable tribology and multi-pass patterning with a domain-based dynamic smart mask, we demonstrate three-dimensional nanostructuring exploiting the asymmetric wear rates of up and down domains, which can, furthermore, be scaled up to technologically relevant (mm-cm) size. These findings demonstrate that ferroelectrics are electrically tunable tribological materials at the nanoscale for versatile applications.
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Affiliation(s)
- Seongwoo Cho
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
- Department of Quantum Matter Physics, University of Geneva, 1211, Geneva, Switzerland.
| | - Iaroslav Gaponenko
- Department of Quantum Matter Physics, University of Geneva, 1211, Geneva, Switzerland
- G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia, 30332, United States of America
| | | | - Jordi Barceló-Mercader
- LaCàN - Mathematical and Computational Modeling, Polytechnic University of Catalonia, Barcelona, 08034, Spain
| | - Irene Arias
- LaCàN - Mathematical and Computational Modeling, Polytechnic University of Catalonia, Barcelona, 08034, Spain
- International Centre for Numerical Methods in Engineering (CIMNE), Barcelona, 08034, Spain
| | - Daeho Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Céline Lichtensteiger
- Department of Quantum Matter Physics, University of Geneva, 1211, Geneva, Switzerland
| | - Jiwon Yeom
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Loïc Musy
- Department of Quantum Matter Physics, University of Geneva, 1211, Geneva, Switzerland
| | - Hyunji Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Seung Min Han
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea
| | - Gustau Catalan
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), Campus Autonomous University of Barcelona, Bellaterra, 08193, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, 08010, Catalonia
| | - Patrycja Paruch
- Department of Quantum Matter Physics, University of Geneva, 1211, Geneva, Switzerland.
| | - Seungbum Hong
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
- KAIST Institute for NanoCentury (KINC), Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
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Hong S, Liow CH, Yuk JM, Byon HR, Yang Y, Cho E, Yeom J, Park G, Kang H, Kim S, Shim Y, Na M, Jeong C, Hwang G, Kim H, Kim H, Eom S, Cho S, Jun H, Lee Y, Baucour A, Bang K, Kim M, Yun S, Ryu J, Han Y, Jetybayeva A, Choi PP, Agar JC, Kalinin SV, Voorhees PW, Littlewood P, Lee HM. Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration. ACS Nano 2021; 15:3971-3995. [PMID: 33577296 DOI: 10.1021/acsnano.1c00211] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
Multiscale and multimodal imaging of material structures and properties provides solid ground on which materials theory and design can flourish. Recently, KAIST announced 10 flagship research fields, which include KAIST Materials Revolution: Materials and Molecular Modeling, Imaging, Informatics and Integration (M3I3). The M3I3 initiative aims to reduce the time for the discovery, design and development of materials based on elucidating multiscale processing-structure-property relationship and materials hierarchy, which are to be quantified and understood through a combination of machine learning and scientific insights. In this review, we begin by introducing recent progress on related initiatives around the globe, such as the Materials Genome Initiative (U.S.), Materials Informatics (U.S.), the Materials Project (U.S.), the Open Quantum Materials Database (U.S.), Materials Research by Information Integration Initiative (Japan), Novel Materials Discovery (E.U.), the NOMAD repository (E.U.), Materials Scientific Data Sharing Network (China), Vom Materials Zur Innovation (Germany), and Creative Materials Discovery (Korea), and discuss the role of multiscale materials and molecular imaging combined with machine learning in realizing the vision of M3I3. Specifically, microscopies using photons, electrons, and physical probes will be revisited with a focus on the multiscale structural hierarchy, as well as structure-property relationships. Additionally, data mining from the literature combined with machine learning will be shown to be more efficient in finding the future direction of materials structures with improved properties than the classical approach. Examples of materials for applications in energy and information will be reviewed and discussed. A case study on the development of a Ni-Co-Mn cathode materials illustrates M3I3's approach to creating libraries of multiscale structure-property-processing relationships. We end with a future outlook toward recent developments in the field of M3I3.
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Affiliation(s)
- Seungbum Hong
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
- KAIST Institute for NanoCentury (KINC), Korea Advanced Institute of Science and Engineering (KAIST), Daejeon, 34141, Republic of Korea
| | - Chi Hao Liow
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Jong Min Yuk
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Hye Ryung Byon
- Department of Chemistry, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Yongsoo Yang
- Department of Physics, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - EunAe Cho
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Jiwon Yeom
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Gun Park
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Hyeonmuk Kang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Seunggu Kim
- Department of Chemistry, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Yoonsu Shim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Moony Na
- Department of Chemistry, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Chaehwa Jeong
- Department of Physics, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Gyuseong Hwang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Hongjun Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Hoon Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Seongmun Eom
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Seongwoo Cho
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Hosun Jun
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Yongju Lee
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Arthur Baucour
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Kihoon Bang
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Myungjoon Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Seokjung Yun
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Jeongjae Ryu
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Youngjoon Han
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Albina Jetybayeva
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Pyuck-Pa Choi
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
| | - Joshua C Agar
- Department of Materials Science and Engineering, Lehigh University, Bethlehem, Pennsylvania 18015, United States
| | - Sergei V Kalinin
- Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, United States
| | - Peter W Voorhees
- Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Peter Littlewood
- James Franck Institute, University of Chicago, Chicago, Illinois 60637, United States
| | - Hyuck Mo Lee
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Engineering (KAIST), Daejeon 34141, Republic of Korea
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Li P, Oh C, Kim H, Chen-Glasser M, Park G, Jetybayeva A, Yeom J, Kim H, Ryu J, Hong S. Nanoscale effects of beverages on enamel surface of human teeth: An atomic force microscopy study. J Mech Behav Biomed Mater 2020; 110:103930. [PMID: 32957225 DOI: 10.1016/j.jmbbm.2020.103930] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 05/17/2020] [Accepted: 06/10/2020] [Indexed: 11/17/2022]
Abstract
Dental erosion has become a prevalence disease and attracted increasing attention worldwide. In this research, we quantitatively evaluate the mechanical and morphological changes in the very early stages of softening and weakening of human enamel surfaces induced by soft drinks using atomic force microscopy (AFM). With an increase of the immersion time in soft drinks, we found a significant increase of surface roughness (Rq) of the enamel surface. The prismatic structure of enamel was clearly observed after a 1-h immersion in Coca-Cola®, which shows its strong erosion effect. According to the elastic modulus mapping images obtained by AFM, a considerable decrease of elastic modulus (E) of enamel surface has been found as the enamel surface structures are etched away by soft drinks. A high surface roughness of enamel will result in a high chance of cavities due to easier bacterial adhesion on rougher surface, while a drastic deterioration of the mechanical properties of the enamel will weaken its protection property. Our findings show the serious influence of acidic drinks on enamel surface at the very beginning stage of etching process, which is quite meaningful for people to prevent dental erosion and keep dental health.
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Affiliation(s)
- Panpan Li
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Chungik Oh
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Hongjun Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Melodie Chen-Glasser
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Gun Park
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Albina Jetybayeva
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Jiwon Yeom
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Hoon Kim
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Jeongjae Ryu
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea
| | - Seungbum Hong
- Department of Materials Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea; KAIST Institute for NanoCentury (KINC), Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Daejeon, 34141, Republic of Korea.
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Kim KE, Yeom J. Proximal arm weakness is the most common presentation in young Korean soldiers diagnosed as having hereditary neuropathy with liability to pressure palsy (HNPP). J ROY ARMY MED CORPS 2015; 162:352-354. [PMID: 26462743 DOI: 10.1136/jramc-2015-000520] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2015] [Accepted: 09/06/2015] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Because patients with hereditary neuropathy with liability to pressure palsy (HNPP) are diagnosed mostly in their 20s, they are likely to experience their first major neurological symptoms during military training. We aimed to analyse the clinical characteristics and electrodiagnostic study findings of patients diagnosed with HNPP during their military service. METHODS We identified patients diagnosed as having HNPP in 2011-2014 and investigated their initial symptom presentation, the location and severity of their weakness, the causative event, the results of electrodiagnostic studies and the results of the genetic analysis of the PMP-22 gene. RESULTS Among the 36 patients included in the study, 19 (52.8%) patients had upper extremity paraesthesia with proximal arm weakness caused by brachial plexus lesion. Distal upper extremity symptoms were found in 12 (33.3%) patients, and leg paraesthesia was present only in five (13.9%) patients. Among the 19 patients who had proximal arm weakness, the most common cause of weakness was the performance of push-ups as a punishment (36.8%), and strenuous push-up exercise was the second cause of this symptom (21.1%). CONCLUSIONS Brachial plexus lesion leading to proximal arm weakness and paraesthesia was the most common presentation in soldiers with HNPP, and strenuous push-up activity was the major leading causative event in this condition.
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Affiliation(s)
- Kyoung-Eun Kim
- Department of Rehabilitation Medicine, Armed Forces Capital Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
| | - J Yeom
- Department of Rehabilitation Medicine, Armed Forces Capital Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea
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