A5049206710- Perovskite Materials and Applications
- Machine Learning in Materials Science
- Force Microscopy Techniques and Applications
- Ferroelectric and Piezoelectric Materials
- Conducting polymers and applications
- Acoustic Wave Resonator Technologies
- Solid-state spectroscopy and crystallography
- Quantum Dots Synthesis And Properties
- Advanced Electron Microscopy Techniques and Applications
- Ferroelectric and Negative Capacitance Devices
- Electronic and Structural Properties of Oxides
- Cell Image Analysis Techniques
- Scientific Computing and Data Management
- Integrated Circuits and Semiconductor Failure Analysis
- Organic Electronics and Photovoltaics
- Advanced Sensor and Energy Harvesting Materials
- Electron and X-Ray Spectroscopy Techniques
- Aquaculture Nutrition and Growth
- Ultrasonics and Acoustic Wave Propagation
- Multiferroics and related materials
- Chalcogenide Semiconductor Thin Films
- Mechanical and Optical Resonators
- Advanced Memory and Neural Computing
- Aquaculture disease management and microbiota
- Engineering Education and Technology
Oak Ridge National Laboratory
2018-2025
Jinan University
2024-2025
Binzhou University
2024-2025
Binzhou Medical University
2021-2025
Future Earth
2024
Center for Nanophase Materials Sciences
2022-2024
Jiangsu Food and Pharmaceutical Science College
2024
Capital University of Economics and Business
2024
Chang'an University
2023-2024
Xihua University
2024
Salient object detection in complex scenes and environments is a challenging research topic. Most works focus on RGB-based salient detection, which limits its performance of real-life applications when confronted with adverse conditions such as dark backgrounds. Taking advantage RGB thermal infrared(RGBT) images becomes new direction for detecting objects scenes, since the infrared spectrum provides complementary information has been used many computer vision tasks. However, current RGBT...
The ability to probe a material's electromechanical functionality on the nanoscale is critical applications from energy storage and computing biology medicine. Voltage-modulated atomic force microscopy (VM-AFM) has become mainstay characterization tool for investigating these materials due its locally electromechanically responsive with spatial resolution micrometers nanometers. However, wide popularity of VM-AFM techniques such as piezoresponse electrochemical strain there been rise in...
A small molecule named DICTF was synthesized and an organic solar cell based on PTB7-Th:DICTF exhibited a high PCE of 7.93%.
The disposal and accumulation of waste tire rubbers has a significant negative impact on the development circular economy sustainable environment. To reuse recycle ground rubber, we developed thermal-oxidative reclamation process using newly designed dynamic reactor. In absence any chemical agent, high scission efficiency was achieved at sol fraction 66.53 wt % 200 °C after 20 min from thermal oxidation GTR. physical structural evolutions GTR during thermo-oxidation were systemically...
Machine learning is rapidly becoming an integral part of experimental physical discovery via automated and high-throughput synthesis, active experiments in scattering electron/probe microscopy. This, turn, necessitates the development methods capable exploring relevant parameter spaces with smallest number steps. Here, approach based on conavigation hypothesis introduced. This realized by combining structured Gaussian processes containing probabilistic models possible system's behaviors...
Abstract Mixed cesium‐ and formamidinium‐based metal halide perovskites (MHPs) are emerging as ideal photovoltaic materials due to their promising performance improved stability. While theoretical predictions suggest that a larger composition ratio of Cs (≈30%) aids the formation pure photoactive α‐phase, high performances can only be realized in MHPs with moderate ratios. In fact, elemental mixing solution result chemical complexities non‐equilibrium phases, causing inhomogeneities...
State of health (SOH) estimation is important for a lithium-ion battery (LIB) state management system, and accurate SOH influenced by the degree degradation LIB. However, considering complex electrochemical reactions within Li electrons influence many external factors on internal reactions, it difficult to accurately estimate based surface characteristics (including current, voltage, temperature). Thus, in this study, knowledge graph method employed analyze keyword co-occurrences citations...
Abstract Optimization of experimental materials synthesis and characterization through active learning methods has been growing over the last decade, with examples ranging from measurements diffraction on combinatorial alloys at synchrotrons, to searches chemical space automated robots for perovskites. In virtually all cases, target property interest optimization is defined a priori ability shift trajectory based human-identified findings during experiment lacking. Thus, highlight best both...
Abstract Machine learning (ML) methods are progressively gaining acceptance in the electron microscopy community for de-noising, semantic segmentation, and dimensionality reduction of data post-acquisition. The introduction application programming interfaces (APIs) by major instrument manufacturers now allows deployment ML workflows microscopes, not only analytics but also real-time decision-making feedback microscope operation. However, number use cases remains remarkably small. Here, we...
Experimental science is enabled by the combination of synthesis, imaging, and functional characterization organized into evolving discovery loop. Synthesis new material typically followed a set steps aiming to provide feedback for optimization or discover fundamental mechanisms. However, sequence synthesis methods their interpretation, research workflow, has traditionally been driven human intuition highly domain specific. Here, we explore concepts scientific workflows that emerge at...
Wurtzite ferroelectrics are an emerging material class that expands the functionality and application space of wide bandgap semiconductors. Promising physical properties binary wurtzite semiconductors include a large, reorientable spontaneous polarization, direct band gaps span from infrared to ultraviolet, large thermal conductivities acoustic wave velocities, high mobility electron hole channels, low optical losses. The ability reverse polarization in ternary at room temperature enables...
Aqueous Zn-ion batteries (ZIBs) have experienced substantial advancements recently, while the aqueous electrolytes exhibit limited thermal adaptability. The low-cost Zn(BF4)2 salt possesses potential low-temperature application, brings unsatisfied stability of Zn anodes. To address this challenge, an ionic liquid based eutectic electrolyte (ILEE) utilizing presenting remarkable across a temperature range ≈-100-150 °C is developed, enabling ZIBs to operate in diverse conditions. inner Zn2+...
Abstract Unique optoelectronic, electronic, and sensing properties of hybrid organic–inorganic perovskites (HOIPs) are underpinned by the complex interactions between electronic ionic states. Here, photoinduced field ion migration in HOIPs is directly observed. Using newly developed local probe time‐resolved techniques, more significant CH 3 NH + than I − /Br unveiled. It found that light illumination only induces but not migration. By observing temporal changes bias‐induced device...
Electronic transport and hysteresis in metal halide perovskites (MHPs) are key to the applications photovoltaics, light emitting devices, chemical sensors. These phenomena strongly affected by materials microstructure including grain boundaries, ferroic domain walls, secondary phase inclusions. Here, we demonstrate an active machine learning framework for "driving" automated scanning probe microscope (SPM) discover microstructures responsible specific aspects of behavior MHPs. In our setup,...
Using hypothesis-learning-driven automated scanning probe microscopy (SPM), we explore the bias-induced transformations that underpin functionality of broad classes devices and materials from batteries memristors to ferroelectrics antiferroelectrics. Optimization design these require probing mechanisms on nanometer scale as a function range control parameters, leading experimentally intractable scenarios. Meanwhile, often behaviors are understood within potentially competing theoretical...
Abstract Microscopy has been pivotal in improving the understanding of structure‐function relationships at nanoscale and is by now ubiquitous most characterization labs. However, traditional microscopy operations are still limited largely a human‐centric click‐and‐go paradigm utilizing vendor‐provided software, which limits scope, utility, efficiency, effectiveness, times reproducibility experiments. Here, coupled software–hardware platform developed that consists software package termed...
Abstract Metal halide perovskite (MHP) solar cells have attracted much attention due to the rapidly growing power conversion efficiency that has reached 25.2% in a decade, comparable established commercial photovoltaic modules. Compositional engineering is one of most effective methods boost performance MHP cells. Further improving and stability necessitates good understanding chemical–efficiency correlation chemical evolution during degradation In this regard, time‐of‐flight secondary ion...
Abstract Metal halide perovskites (MHPs) as one of the most active materials gained tremendous attention in past decade because their outstanding performance optoelectronics. Owing to perovskite structure, ferroelectricity is anticipated this class materials. However, whether MHPs are ferroelectric or not remains elusive. Recently, discussion regarding ferroelasticity has been also raised. In addition, ionic motion and structural dynamics well known MHPs. The interplay these phenomena...