Article
Multidisciplinary Sciences
Louis Ponet, S. Artyukhin, Th. Kain, J. Wettstein, Anna Pimenov, A. Shuvaev, X. Wang, S. -w. Cheong, Maxim Mostovoy, Andrei Pimenov
Summary: This study demonstrates a method to reverse the electric polarization of multiferroic materials by applying and removing a magnetic field, which requires two cycles to bring the system back to its original configuration. During this process, the system visits four states with different magnetic configurations, with half of the spins undergoing unidirectional full-circle rotation in increments of about 90 degrees. Therefore, this material exhibits a peculiar magnetoelectric switching behavior that converts the variations of the magnetic field into circular spin motion.
Review
Chemistry, Physical
Jiawei Wang, Aitian Chen, Peisen Li, Sen Zhang
Summary: Electric-field control of magnetism is crucial for the next generation of data storage technology. Researchers have explored the electric-field control of magnetism via strain coupling, especially in heterostructures like CoFeB/PMN-PT. Recent experiments in magnetic tunnel junctions/FE architecture show promising results in nonvolatile and reversible electric-field control of tunneling magnetoresistance, indicating great potential for future data storage technology.
Article
Engineering, Civil
Zhong-kai Feng, Tao Luo, Wen-jing Niu, Tao Yang, Wen-chuan Wang
Summary: This paper proposes a LSTM-based approximate dynamic programming (ADP) method to optimize the operation of complex hydropower reservoirs. The ADP method reduces redundant computations and improves execution efficiency by treating LSTM as the response surface model. Simulation results show that ADP effectively reduces execution time while maintaining solution quality in different scenarios.
JOURNAL OF HYDROLOGY
(2023)
Article
Engineering, Electrical & Electronic
Yanming Liu, Zhoujie Pan, He Tian
Summary: This paper proposes an in-memory computing method based on GCBRAM, which reduces the sensitivity of compensation resistor selection by using a flexible modulation dimension. A reconfigurable logic circuit based on GCBRAM has been developed, and a full adder based on GCBRAM circuit with minimized compensation resistors has been demonstrated. This work represents a new form of in-memory logic with lower hardware costs, facilitating the development of in-memory computing.
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2023)
Article
Nanoscience & Nanotechnology
Taro Sasaki, Keiji Ueno, Takashi Taniguchi, Kenji Watanabe, Tomonori Nishimura, Kosuke Nagashio
Summary: Recently, a study on a two-dimensional heterostructured nonvolatile memory (NVM) device with ultrafast operation has attracted attention. The study compares different device structures and reveals that hole injection at the metal/MoS2 interface is the limiting factor in NVM devices with an access region. By removing the access region, MoS2 NVM devices with a direct tunneling path are fabricated and achieve a 50 ns program/erase operation. Additionally, the study examines the dielectric breakdown strength of h-BN and finds that its high breakdown strength can be the physical origin of the ultrafast operation.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Multidisciplinary Sciences
Bartosz Pruchnik, Karolina Orlowska, Bartosz Swiadkowski, Ewelina Gacka, Andrzej Sierakowski, Pawel Janus, Teodor Gotszalk
Summary: We present a method for quantitatively determining the photon force (PF) generated by radiation pressure of reflected photons. Our experimental setup integrates innovative MEMS optimized for detecting photon force (pfMEMS). An active microcantilever was used as the force detector and the measurement was conducted in a closed-loop setup with electromagnetic force compensation. In our experiments, we measured PF interactions up to 67.5 pN with a resolution of 30 fN in static measurement.
SCIENTIFIC REPORTS
(2023)
Article
Physics, Applied
Jinzhe Wu, Jialin Shi, Zhaoxi Li, Peng Yu, Huiyao Shi, Tie Yang, Yang Yang, Chunlong Fei, Lianqing Liu
Summary: Ultrahigh frequency ultrasound (>60 MHz) is an important mechanism for non-contact manipulation. The acoustic field traps microparticles mainly via the gradient force of acoustic radiation force (ARF) on the transverse plane. However, the direct implementation of ARF is restricted to a specific frequency and magnitude range, and lacks a comprehensive control method. We propose a variable frequency pulse width modulation-based control method for ARF, achieving precise control with a wide magnitude range and frequency range, which expands the application of ultrahigh frequency ultrasound in noncontact manipulation.
APPLIED PHYSICS LETTERS
(2023)
Review
Engineering, Multidisciplinary
Yun Zheng, Yilin Chen, Bifen Gao, Bizhou Lin, Xinchen Wang
Summary: Black phosphorus (BP) has been widely used in semiconductor photocatalysis due to its high hole mobility and adjustable bandgap. Constructing heterostructured photocatalysts based on BP has become a research hotspot in recent years, leading to improved photoexcited charge-separation efficiency.
Article
Chemistry, Physical
Chong Yin, Mingyuan Ge, Youngmin Chung, Jianming Bai, Wah-Keat Lee, Kim Kisslinger, Steven N. Ehrlich, Xianghui Xiao, Bao Qiu, Stephen E. Trask, Alison R. Dunlop, Andrew N. Jansen, Zhaoping Liu, Youngho Shin, Feng Wang
Summary: A rational control of local stoichiometry in high-nickel heterostructured cathodes, alternative to the traditional design, enables high thermal and cycling stabilities when operating at high voltages. The study unveils the heterostructure of secondary particles, featuring a high-nickel core covered by a stable thin nickel-gradient layer. This work emphasizes the intricate interplay between local stoichiometry and redox reactions in stabilizing high-nickel cathodes for high-voltage operation while ensuring safety.
Article
Automation & Control Systems
Yupeng Li, Weihua Cao, R. Bhushan Gopaluni, Wenkai Hu, Chao Gan, Min Wu
Summary: This study proposes a process monitoring method for geological drilling processes based on operation mode recognition and dynamic feature extraction. It achieves reliable monitoring for the entire drilling cycle, including transient and steady-state processes, by developing different monitoring procedures for various operation modes based on dynamic changes in drilling signals.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Marine
Chuan Wang, Yuzhong Liu, Xiaolong Lian, Jianjun Luo, Chunping Liang, Haifeng Ma
Summary: This study proposes a method based on dynamic Bayesian network (DBN) to analyze the dynamic risk in the plugging and abandonment (P&A) operation. The method includes GO models for each phase of the operation, fault tree (FT) models for mission execution systems, and a DBN model based on GO and FT models. A complete risk assessment model is established, and human factors are quantified using a standardized analysis method. The developed DBN is verified using a method based on three axioms. The proposed method can effectively assess the dynamic risk in the P&A operation process.
Article
Physics, Applied
John Nance, Kawsher A. Roxy, Sanjukta Bhanja, Greg P. Carman
Summary: This study investigates a multiferroic antiferromagnet as a high-speed artificial synapse in artificial intelligence applications using a finite-element model coupling micromagnetics and dynamic strain. It successfully programs two intermediate states using strain pulses and finds the minimum programming time to be around 0.3 ns.
JOURNAL OF APPLIED PHYSICS
(2022)
Article
Energy & Fuels
Yanfeng Liu, Yaxing Wang, Xi Luo
Summary: The study focuses on the development of dynamic operation strategies for a distributed solar energy system in remote Northwest China to optimize its design and operation. The dynamic operation strategies show potential in reducing operating costs and battery capacity optimization in grid-connected scenarios. In off-grid scenarios, the dynamic operation strategy outperforms fixed parameter strategies in terms of reducing abandoned photovoltaic power.
Article
Energy & Fuels
Sheng Ya-nan, Li Weiting, Lan Kai, Jiang Jinbao, Kong Hua
Summary: This paper focuses on improving the accuracy of formation pressure prediction in deep well drilling by utilizing MWD and other technologies. It studies risk identification and assessment methods for engineering risks during drilling, and explores uncertain parameters in existing wellbore structure design to minimize design risks.
JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY
(2021)
Article
Green & Sustainable Science & Technology
Jie Yan, Akejiang Nuertayi, Yamin Yan, Shan Liu, Yongqian Liu
Summary: This paper proposes a hybrid physical and data-driven model for simulating the dynamic operating characteristics of wind turbines. By building a dynamic characteristics database and using sequence learning and LSTM network, the time sequence dynamic characteristics of wind turbine operating conditions and parameters under various wind conditions are accurately excavated and learned. Through numerical example analysis, the method improves the simulation accuracy and calculation efficiency of wind turbine output power and load dynamic characteristics.
Article
Physics, Applied
E. A. Patterson, M. Staruch, B. R. Matis, S. Young, S. E. Lofland, L. Antonelli, F. Blackmon, D. Damjanovic, M. G. Cain, P. B. J. Thompson, C. A. Lucas, P. Finkel
APPLIED PHYSICS LETTERS
(2020)
Article
Physics, Applied
Margo Staruch, Bernard R. Matis, Jeffrey W. Baldwin, Steven P. Bennett, Olaf van 't Erve, Sam Lofland, Konrad Bussmann, Peter Finkel
APPLIED PHYSICS LETTERS
(2020)
Article
Nanoscience & Nanotechnology
H. Bakkali, E. Blanco, M. Dominguez, M. B. de la Mora, C. Sanchez-Ake, M. Villagran-Muniz, D. S. Schmool, B. Berini, S. E. Lofland
Article
Physics, Multidisciplinary
H. Bakkali, E. Blanco, S. E. Lofland, M. Dominguez
NEW JOURNAL OF PHYSICS
(2020)
Article
Chemistry, Multidisciplinary
Peter Finkel, Markys G. Cain, Thomas Mion, Margo Staruch, Jakub Kolacz, Sukriti Mantri, Chad Newkirk, Kyril Kavetsky, John Thornton, Junhai Xia, Marc Currie, Thomas Hase, Alex Moser, Paul Thompson, Christopher A. Lucas, Andy Fitch, Julie M. Cairney, Scott D. Moss, Alan Gareth Alexander Nisbet, John E. Daniels, Samuel E. Lofland
Summary: In this study, the switching of ferroelectric domains in domain-engineered crystals was controlled by electrical field and mechanical stress, resulting in the transformation from an opaque polydomain structure to a transparent monodomain state. This manipulation achieved both a large piezoelectric effect and high optical transmissivity.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Multidisciplinary
Y. Xue, K. Jackson, N. Page, X. Mou, S. Lofland, X. Hu
Summary: This study demonstrates that the physical properties of nanofibers combining flexible silk fibroin protein and biocompatible barium hexaferrite nanoparticles can be tuned through mixing ratios and water annealing. The mechanical properties of electrospun composites can be significantly improved by annealing while maintaining the magnetic properties. Application of an external magnetic field during in vitro experiments can significantly enhance cell growth.
MATERIALS TODAY CHEMISTRY
(2021)
Article
Materials Science, Multidisciplinary
X. H. Zhang, T. R. Gao, L. Fang, S. Fackler, J. A. Borchers, B. J. Kirby, B. B. Maranville, S. E. Lofland, A. T. N'Diaye, E. Arenholz, A. Ullah, J. Cui, R. Skomski, I Takeuchi
Summary: The exchange coupling between a hard magnetic layer MnBi and a soft magnetic layer Co-Fe has been found to significantly improve the maximum energy product. In this study, the spin structure of exchange-coupled MnBi:Co-Fe bilayers was experimentally investigated and a new type of curled magnetic structure similar to a spin bobber was discovered, which is worth further investigation.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2022)
Article
Chemistry, Inorganic & Nuclear
Antara Sarkar, Anirban Das, Soumen Ash, Kandalam V. Ramanujachary, Samuel E. Lofland, Nibedita Das, Kaustava Bhattacharyya, Ashok Kumar Ganguli
Summary: We synthesized Sr2YbRu1-x Ta x O6 and studied its structural, magnetic, and photoelectrocatalytic properties. The substitution of Ta for Ru affected the magnetic properties, band gap, and valence band energy level. The series showed antiferromagnetic interaction and the Weiss temperature decreased with the increase of Ta concentration. The band gap increased linearly with the increase of Ta concentration, and the energy level of the valence band decreased. The series also exhibited good photoelectrocatalytic activity for the oxygen evolution reaction.
INORGANIC CHEMISTRY
(2023)
Article
Physics, Applied
Robert V. Chimenti, James T. Carriere, Danielle M. D'Ascoli, Jamison D. Engelhardt, Alyssa M. Sepcic, Kayla A. Bensley, Alexandra M. Lehman-Chong, Joseph F. Stanzione III, Samuel E. Lofland
Summary: Glass transition temperature is a crucial characteristic for describing the behavior of polymeric materials. The conformational entropy increase during glass transition affects the phonon density of states. Low-frequency Raman features, including the Boson peak and van Hove peak, and quasi-elastic Rayleigh scattering, contribute to the broad disorder band below 100 cm (-1) in amorphous materials. The temperature dependence of the ratio of integrated intensity near the Boson peak to that of the van Hove peak shows a kink at the glass transition temperature, indicating a change in the phonon density of states.
APPLIED PHYSICS LETTERS
(2023)
Article
Physics, Applied
Thomas Mion, Benjamin M. Lefler, Margo Staruch, Steven Bennett, Norman Gottron, Samuel E. Lofland, Konrad Bussmann, Nicholas Gangemi, Jeffrey Baldwin, Peter Finkel
Summary: The angular dependence of the magnetic field response of fully suspended resonant microelectromechanical double-clamped magnetoelectric beams was investigated as the basis for a vector magnetometer. The magnetoelectric heterostructure, consisting of strain-coupled magnetostrictive iron cobalt (FeCo) and piezoelectric aluminum nitride layers, demonstrated a high magnetic field sensitivity and transfer function. The anisotropic behavior of the fundamental frequency shift to an external magnetic field was observed, making this design suitable for an on-chip high sensitivity vector magnetometer when multiplexed with multiple resonators.
APPLIED PHYSICS LETTERS
(2023)
Article
Chemistry, Physical
Huma Khan, Samuel E. Lofland, Kandalam V. Ramanujachary, Norah Alhokbany, Tokeer Ahmad
Summary: In this study, multiferroic GdCrO3 nanoassemblies were synthesized using a solvothermal method for efficient and long-lasting oxide catalysts in energy storage and conversion. XRD and XPS studies confirmed the orthorhombic structure formation of GdCrO3. Scanning and high-resolution transmission electron microscopy showed the formation of nanoassemblies. Ferroelectric study revealed the remnant polarization of 2.36 mu C cm(-2). In alkaline media, GdCrO3 nanoassemblies acted as an efficacious and resilient oxygen evolution reaction electrocatalyst by showing superior specific activity. Photocatalytic H2 evolution studies demonstrated a high H-2 evolution rate of 2 mmol h(-1) gcat(-1) and an apparent quantum yield of 23.2%. XPS measurements confirmed the mechanism of significant H2 generation through internal electric field-associated charge transfer.
ACS APPLIED ENERGY MATERIALS
(2023)
Article
Automation & Control Systems
Naohiro Fujinuma, Samuel E. E. Lofland
Summary: Machine learning can be used to accelerate materials research, but data scarcity and model uncertainty often hinder its deployment in experimental research. This study demonstrates the effectiveness of a human-in-the-loop procedure to tailor machine learning for multicriteria optimization in the development of a nafion-based membrane electrode assembly for electrochemical CO2 reduction reaction. By analyzing nonlinear correlations, relevant features are identified for energy efficiency and partial current density for CO2RR. The selected model, based on careful inspection and analysis, shows the highest accuracy and can locate the Pareto front with a single round of experiments, highlighting the importance of appropriate model selection in accelerating the research cycle.
ADVANCED INTELLIGENT SYSTEMS
(2023)
Article
Chemistry, Analytical
Robert V. Chimenti, Alexandra M. Lehman-Chong, Alyssa M. Sepcic, Jamison D. Engelhardt, James T. Carriere, Kayla A. Bensley, Adam Markashevsky, Jianwei Tu, Joseph F. Stanzione III, Samuel E. Lofland
Summary: Characterizing the extent of cure kinetics in polymers is crucial for understanding their structure-property-processing relationships. This study demonstrates a novel and non-destructive method of measuring polymerization kinetics using low-frequency Raman spectroscopy. By analyzing the disorder band and its shoulder in the spectrum, both structural and chemical conversion kinetics can be obtained. The results show a relationship between the chemical and structural kinetics, which may be related to the material's softness.
Review
Chemistry, Inorganic & Nuclear
Naohiro Fujinuma, Samuel E. Lofland
Summary: The effects of climate change and finite fossil fuel supply have led to the research on the electrocatalytic reduction of CO2. The demand for multi-carbon feedstock offers financial incentives, accelerating the search for solutions to the climate problem, but the technology is still in the process of being commercialised, with the use of ambient CO2 as a prerequisite.
INORGANIC CHEMISTRY FRONTIERS
(2023)
Article
Materials Science, Multidisciplinary
Naohiro Fujinuma, Brian DeCost, Jason Hattrick-Simpers, Samuel E. Lofland
Summary: Machine learning is an essential tool in materials science, and the authors emphasize the need for contextual use, careful model selection, and understanding limitations. They advocate a shift from big data thinking to a model-oriented approach that supports computational models and experimental measurements. They also recommend an open conversation about dataset bias and the development of machine learning methods that connect experiments with theoretical models for increased scientific understanding and radical materials innovations.
COMMUNICATIONS MATERIALS
(2022)
