Article
Chemistry, Physical
Anindityo Nugra Arifiadi, Kwang-Tak Kim, Inna Yusnila Khairani, Chang Bae Park, Kee Hoon Kim, Sang-Koog Kim
Summary: CoFe2O4-BiFeO3 (CFO-BFO) nanocomposites were synthesized using a combination hydrothermal/citric acid sol-gel method, resulting in high-purity crystalline nanocomposites. The sintered sample with a 2:2 ratio exhibited high magnetization value, indicating dipolar interaction between CFO and BFO. The results suggest a reliable magnetic-field control of electric polarization in these multiferroic CFO-BFO nanocomposites.
JOURNAL OF ALLOYS AND COMPOUNDS
(2021)
Article
Physics, Condensed Matter
Shashi Priya Balmuchu, Pamu Dobbidi
Summary: In this study, La-doped bismuth ferrite (BLFO) compositions were synthesized and their structural, electrical, magnetic, ferroelectric, and optical properties were investigated. It was found that La doping led to a reduced grain size, improved dielectric properties, enhanced magnetization and coercive field, higher polarization value, and increased bandgap with doping.
PHYSICA B-CONDENSED MATTER
(2022)
Article
Chemistry, Physical
Zengpeng Li, Jianfeng Dai, Danqiang Huang, XinChao Wen
Summary: BiFeO3-(Co/Ni)Fe2O4 (BFO-(C/N)FO) multiferroic nanofibers were synthesized using a self-assembly coaxial electrospinning technique. The structure, properties, and effects of structural distortion and crystal phase on the ferroelectric and ferromagnetic behaviors were studied. The results indicate the significance of coupling of structural distortion and crystal phase in altering the properties of the nanofibers.
JOURNAL OF ALLOYS AND COMPOUNDS
(2022)
Article
Physics, Applied
Lulu Wang, Jiameng Sun, Yinxing Zhang, Jiangzhen Niu, Zhen Zhao, Zhenqiang Guo, Zixuan Zhang, Yiduo Shao, Shiqing Sun, Xiaotong Jia, Xu Han, Xiaobing Yan
Summary: This study presents the fabrication of Li0.09Bi0.91FeO3 as the functional layer for a ferroelectric memristor device, enabling information processing and programmable characteristics.
APPLIED PHYSICS LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Fernando Pedro-Garia, F. Sanchez-De Jesus, A. M. Bolarin-Miro, C. A. Cortes-Escobedo, O. Rosales-Gonzalez, A. Barba-Pingarron
Summary: This study presents a broadband dielectric investigation of the capacitive and resistive properties of ferroelectric BiFeO3 obtained by high-energy ball milling assisted, and its physical relationship to ionized vacancies and dielectric relaxations controlled by frequency and temperature conditions.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Sonia Rani, Ompal Singh, Shalu Kaushik, Pooja Sharma, Ashish Agarwal, Sujata Sanghi
Summary: The effect of Dy3+ ion substitution on the structural, dielectric, and magnetic behavior of BiFeO3 ceramics prepared via the solid-state route has been investigated. The substitution of Dy3+ ion with Bi3+ results in a phase transformation and a reduction in crystallite size. High-temperature transient interaction between oxygen vacancies and Fe3+/Fe2+ ions was observed. The addition of Dy improves the magnetic and dielectric properties, making BiFeO3 a suitable choice for data storage media.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Md Abu Mosa, M. K. Das, F. Alam, M. N. Khan, S. C. Mazumdar
Summary: The role of co-doping with Ba and Sm in BiFeO3 has been studied, and it is found that co-doped samples have improved dielectric and electric polarization properties. Sm doping notably increases the real part of initial permeability and relative quality factor, as well as the coercivity of Bi0.85Ba0.15FeO3 ceramics. This study is of great importance for the fabrication of magnetoelectric devices.
JOURNAL OF MATERIALS SCIENCE-MATERIALS IN ELECTRONICS
(2022)
Article
Physics, Multidisciplinary
P. Hemme, J-c. Philippe, A. Medeiros, A. Alekhin, S. Houver, Y. Gallais, A. Sacuto, A. Forget, D. Colson, S. Mantri, B. Xu, L. Bellaiche, M. Cazayous
Summary: This study investigates the effect of strain on the ferroelectricity and dynamic magnetic response of BiFeO3. The results show that the ferroelectric soft mode is significantly enhanced under tensile strain, and low energy magnon modes are suppressed, indicating a transition from cycloidal to homogeneous magnetic state. Effective Hamiltonian calculations reveal the competition between the ferroelectric and antiferrodistortive modes in the tensile regime.
PHYSICAL REVIEW LETTERS
(2023)
Article
Chemistry, Analytical
Pengcheng Zhang, Tingting Zhan, Sha Xue, Hui Yang
Summary: This study presents a microlens-assisted imaging approach to efficiently record and image the scattering light of plasmonic nanoparticles. By enhancing the scattering intensity, high temporal resolution imaging of gold nanoparticles is achieved, offering wide applications in various fast interaction processes.
Article
Physics, Applied
Zhangyang Zhou, Zhipeng Gao, Zhengwei Xiong, Gaomin Liu, Ting Zheng, Yuanjie Shi, Mingzhu Xiao, Jiagang Wu, Leiming Fang, Tiexing Han, Hao Liang, Hongliang He
Summary: This study reports the electrical response of 0.9BiFeO(3)-0.1BaTiO(3) (BFO-BT) ferroelectric ceramics under shock-wave compression and achieves a record-high power density. The mechanism of shock-induced depolarization and the excellent performance of BFO-BT ceramics are analyzed through in situ high-pressure neutron diffraction.
APPLIED PHYSICS LETTERS
(2022)
Article
Materials Science, Ceramics
Ram Prakash Singh, Sujoy Saha
Summary: In this study, different additives were added to Dy-modified BiFeO3-PbTiO3 ceramics system, and it was found that all additives promoted the precipitation of the ferrimagnetic dysprosium iron garnet phase, while additives containing potassium suppressed grain size. The best combination of ferroelectric and ferromagnetic behavior was found in a mixture of additives.
CERAMICS INTERNATIONAL
(2021)
Article
Materials Science, Ceramics
J. X. Hu, Aditya Jain, S. S. Jiang, F. G. Chen, Y. G. Wang
Summary: Lead-free multiferroic ceramics BPFM-BT were successfully fabricated with enhanced ferroelectric and piezoelectric properties, narrow bandgap, and improved photostriction performance by introducing Pr into the Bi3+ site. Optimizing the thickness of the sample improved the photo-induced strain and light response speed, while an external magnetic field reduced the photostrictive performance. These ceramics show great potential in the multifunctionality application of wireless photosensitive sensors.
CERAMICS INTERNATIONAL
(2022)
Article
Chemistry, Physical
Yue Lin, Dianlong Zhao, Zifan Yu, Jia Wang, Min Cao, Dawei Jiang, Xin Zhang, Yingying Song, Hao Liu, Chunxiao Gao, Yonghao Han
Summary: By studying the carrier transport properties of BiFeO3 ceramics under high pressure, it was found that pressure-induced structural changes lead to a transition from pure electronic to mixed ionic-electronic conduction. This work provides critical insights into the relationship between structure and conduction.
JOURNAL OF PHYSICAL CHEMISTRY C
(2022)
Article
Materials Science, Multidisciplinary
Juan Liu, Zilong Yu, Xiangtai Guo, Liangliang Liu, Lilin Xiang, Yu Sun, Tulai Sun, Ailin Xia
Summary: The 0-3 type BFO-BTO/BaM multiferroic composites were successfully prepared, exhibiting improved ferroelectric and magnetic properties. The increase of BaM content led to a larger leakage current and a lower breakdown electric field, but also resulted in enhanced ferroelectric and magnetic properties.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2023)
Article
Chemistry, Multidisciplinary
Hamed Sharifi Dehsari, Morteza Hassanpour Amiri, Kamal Asadi
Summary: Experimental realization of thin films with significant room-temperature magnetoelectric coupling coefficient α(ME) without an external DC magnetic field has been challenging. Here, large α(ME) of 750 +/- 30 mV Oe(-1) cm(-1) is achieved in multiferroic polymer nanocomposites (MPCs) thin films. The MPCs consist of PMMA-grafted cobalt-ferrite nanoparticles uniformly dispersed in piezoelectric polymer P(VDF-TrFE). Nanoparticle agglomeration is reduced by surface functionalization with PMMA, enabling the uniform dispersion of nanoparticles in submicrometer thin films. This research can promote the development of flexible and printable multiferroic electronic devices for sensing and memory applications.
Article
Materials Science, Multidisciplinary
Haboussi Mohamed, Vijay Gunasekaran, Jeyaraj Pitchaimani, Vasudevan Rajamohan, Gourav Kotriwar, Ganapathi Manickam
Summary: In this study, the effect of curvilinear fiber reinforcement on damping of composite plates is comprehensively investigated using a higher-order shear flexible model. The proposed model is validated and the results show that the damping performance of the curvilinear fibers plate is better than the conventional composite laminate. The study also reveals that the damping increases with the skew angle of the plate. Overall, this research demonstrates the suitability of variable stiffness composite structures for safe design under dynamic/impact loading conditions.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2023)
Article
Chemistry, Multidisciplinary
Yulian Yao, Aaron Naden, Mengkun Tian, Sergey Lisenkov, Zachary Beller, Amit Kumar, Josh Kacher, Inna Ponomareva, Nazanin Bassiri-Gharb
Summary: Antiferroelectric materials, such as PbZrO3, offer exceptional energy storage capacity and other outstanding properties. However, challenges in processing phase pure PbZrO3 have hindered the study of the undoped composition and understanding of its phase transitions. By leveraging PbZrO3 thin films, a room-temperature ferrielectric phase with high dielectric tunability and ultrahigh strains has been observed, calling for a re-evaluation of the fundamental science of antiferroelectricity in this archetypal material.
ADVANCED MATERIALS
(2023)
Article
Chemistry, Physical
Yongtao Liu, Jonghee Yang, Rama K. Vasudevan, Kyle P. Kelley, Maxim Ziatdinov, Sergei Kalinin, Mahshid Ahmadi
Summary: We demonstrate an active machine learning framework for driving an automated scanning probe microscope (SPM) to discover the microstructures responsible for specific aspects of transport behavior in metal halide perovskites (MHPs). This approach allows the microscope to discover the microstructural elements that maximize the onset of conduction, hysteresis, or any other characteristic derived from a set of current-voltage spectra. It provides new opportunities for exploring the origins of materials functionality in complex materials by SPM and can be integrated with other characterization techniques.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2023)
Article
Management
Matt Baucum, Anahita Khojandi, Rama Vasudevan, Ritesh Ramdhani
Summary: We develop a data-driven reinforcement learning framework to optimize Parkinson's disease medication regimens through wearable sensors. The results show that the reinforcement learning-prescribed medication regimens outperform physicians' regimens, and the wearable-based reinforcement learning models can offer novel clinical insights and medication strategies.
MANAGEMENT SCIENCE
(2023)
Article
Nanoscience & Nanotechnology
M. Checa, K. P. Kelley, R. Vasudevan, L. Collins, S. Jesse
Summary: Real-time tracking of dynamic nanoscale processes, such as phase transitions, is challenging and labor-intensive. In this work, we demonstrate automated tracking of a specific region of interest during a fast ferroelectric-to-paraelectric phase transition using piezoresponse force microscopy. Our approach combines fast scanning, compressed sensing image reconstruction, and real-time offset correction to enable in situ characterization of the region of interest during external stimulation.
Article
Multidisciplinary Sciences
Eleonora Cali, Melonie P. Thomas, Rama Vasudevan, Ji Wu, Oriol Gavalda-Diaz, Katharina Marquardt, Eduardo Saiz, Dragos Neagu, Raymond R. Unocic, Stephen C. Parker, Beth S. Guiton, David J. Payne
Summary: In exsolution, nanoparticles emerge from oxide hosts through redox driving forces, leading to transformative advances in stability, activity, and efficiency. The mechanism of exsolved nanoparticle nucleation and perovskite structural evolution has remained unclear, but this study sheds light on the process by using in situ high-resolution electron microscopy, computational simulations, and machine learning analytics. The results reveal the involvement of atom clustering, surface defects, and host lattice restructuring in nucleation and growth of nanoparticles, providing insights for the development of exsolvable materials.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Physical
Panithan Sriboriboon, Huimin Qiao, Owoong Kwon, Rama K. Vasudevan, Stephen Jesse, Yunseok Kim
Summary: In this study, a deep neural network (DNN) hybrid with deep denoising autoencoder (DDA) and principal component analysis (PCA) was developed to enhance the sensitivity of resonance-enhanced piezoresponse force microscopy (PFM) for measuring the weak piezoresponse in ultra-thin ferroelectric films. The hybrid approach achieved a sensitivity down to 0.3 pm and could potentially be applied to other microscopic techniques.
NPJ COMPUTATIONAL MATERIALS
(2023)
Article
Chemistry, Physical
Yongtao Liu, Rama K. K. Vasudevan, Kyle P. Kelley, Hiroshi Funakubo, Maxim Ziatdinov, Sergei V. V. Kalinin
Summary: We developed automated experiment workflows for identifying the best predictive channel in spectroscopic measurements. The approach combines ensembled deep kernel learning for probabilistic predictions and reinforcement learning for channel selection. The implementation in multimodal imaging of piezoresponse force microscopy (PFM) showed that the amplitude is the best predictive channel for polarization-voltage and frequency-voltage hysteresis loop areas. This workflow and code can be applied to other multimodal imaging and local characterization methods.
NPJ COMPUTATIONAL MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Bobby G. Sumpter, Kunlun Hong, Rama K. Vasudevan, Ilia Ivanov, Rigoberto Advincula
Summary: With new instrumentation design, robotics, and in-operando hyphenated analytical tool automation, the intelligent discovery of synthesis pathways is becoming feasible, potentially bridging the gap for the scale-up of new materials.
Article
Computer Science, Artificial Intelligence
Sergei Kalinin, Rama Vasudevan, Yongtao Liu, Ayana Ghosh, Kevin Roccapriore, Maxim Ziatdinov
Summary: Microscopy provides an ideal experimental environment for the development and deployment of active Bayesian and reinforcement learning methods. By utilizing domain-specific deployable algorithms and static datasets, machine learning methods can be applied to microscopy and chemical imaging, accelerating real-world ML applications and scientific progress.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Arpan Biswas, Rama Vasudevan, Maxim Ziatdinov, Sergei Kalinin
Summary: Unsupervised and semi-supervised ML methods like VAE are widely used in physics, chemistry, and materials sciences for disentangling representations and finding latent manifolds in complex experimental data. This study explores a latent Bayesian optimization approach for hyperparameter trajectory optimization in unsupervised and semi-supervised ML, demonstrated by joint-VAE with rotational invariances. The method is applied to finding joint discrete and continuous rotationally invariant representations in the MNIST database and a plasmonic nanoparticles material system.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
S. V. Venkatakrishnan, Chris M. Fancher, Maxim Ziatdinov, Rama Vasudevan, Kyle Saleeby, James Haley, Dunji Yu, Ke An, Alex Plotkowski
Summary: Neutron diffraction is a useful technique for mapping residual strains in dense metal objects. In this paper, the authors propose an object adaptive sampling strategy to measure the significant points first and predict the next most informative positions to measure. They demonstrate the real-time measure-infer-predict workflow on additively manufactured steel parts, leading to faster strain mapping with useful real-time feedback.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Rama Krishnan Vasudevan, Sai Mani Valleti, Maxim Ziatdinov, Gerd Duscher, Suhas Somnath
Summary: Major advancements in various fields have relied on microscopy techniques, but there are still significant challenges in processing and analyzing the acquired datasets. The pycroscopy ecosystem introduces a common data model and leverages Python-based packages to accelerate analysis and visualization, enabling the creation of reproducible workflows for microscopy data.
ADVANCED THEORY AND SIMULATIONS
(2023)
Article
Multidisciplinary Sciences
Marti Checa, Addis S. Fuhr, Changhyo Sun, Rama Vasudevan, Maxim Ziatdinov, Ilia Ivanov, Seok Joon Yun, Kai Xiao, Alp Sehirlioglu, Yunseok Kim, Pankaj Sharma, Kyle P. Kelley, Neus Domingo, Stephen Jesse, Liam Collins
Summary: Unraveling local dynamic charge processes is essential for progress in various fields. Researchers have developed high-speed sparse scanning Kelvin probe force microscopy, enabling sub-second imaging of nanoscale charge dynamics and enhancing understanding of material heterogeneities.
NATURE COMMUNICATIONS
(2023)
Article
Chemistry, Multidisciplinary
Jesi R. Maguire, Conor J. Mccluskey, Kristina M. Holsgrove, Ahmet Suna, Amit Kumar, Raymond G. P. Mcquaid, J. Marty Gregg
Summary: We have used high-voltage Kelvin probe force microscopy to map the electrical potential distribution along curved current-carrying conducting domain walls in ferroelectric lithium niobate thin films. We found that the potential profiles and electric fields can be explained by variations in wall resistivity alone, without invoking additional physical phenomena. This is important for domain-wall nanoelectronics.
