Tianyi Zhou, Ming Yang, Jingyao Wang, Xiang Chen, Qingyu Yan, Kenji Watanabe, Taniguchi Takashi, Xue Liu, Yuqing Huang, Weigao Xu, Xinran Wang, Li Gao, Zehua Hu
{"title":"Graphene/h-BN/ReS2 Heterostructure Operating in Fowler−Nordheim Tunneling Regime for Polarization-Sensitive Fast Photodetector","authors":"Tianyi Zhou, Ming Yang, Jingyao Wang, Xiang Chen, Qingyu Yan, Kenji Watanabe, Taniguchi Takashi, Xue Liu, Yuqing Huang, Weigao Xu, Xinran Wang, Li Gao, Zehua Hu","doi":"10.1002/aelm.202500001","DOIUrl":"https://doi.org/10.1002/aelm.202500001","url":null,"abstract":"On-chip polarization photodetectors are crucial for advancing optical communication, which is facing the challenges of limited polarization sensitivity and hard on-chip integration. 2D materials offer unique opportunities for creating high-performance polarization photodetectors thanks to their intrinsic anisotropy and extensive heterostructure design freedom. Herein, a graphene/h-BN/ReS<sub>2</sub> tunneling heterostructure is designed to realize a high-performance polarization photodetector in the Fowler−Nordheim tunneling (FNT) regime. Specifically, the photodetector achieves a high photocurrent signal-to-noise ratio of ≈10<sup>3</sup> by suppressing the tunneling dark current with the hBN tunneling layer. The h-BN also creates a strong electric field, which accelerates the photogenerated carriers and achieves a response time of ≈70 µs. Such a high signal-to-noise ratio and short response time are over two orders of magnitude stronger and shorter than those of field-effect transistor-type ReS<sub>2</sub> photodetectors. Moreover, in the FNT regime, the contribution of an anisotropic tunneling barrier and effective hole mass can effectively enhance the photocurrent dichroic ratio to exceed the intrinsic absorption dichroic ratio of 1.61, achieving the maximal value of 1.85. The enhancement mechanism is well understood by the consistent experimental and theoretical results. This study provides a viable approach to designing high-performance on-chip polarization photodetectors by utilizing the characteristics of the FNT regime.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"80 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144000660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tao Yue, Yuyin Zhang, Yuanjie Gan, Chengzhi Hu, Yue Wang
{"title":"A Simple Manufactured Hardness Sensor Based on Multi-Layer Liquid Metal Sensing for Surgical Robotics","authors":"Tao Yue, Yuyin Zhang, Yuanjie Gan, Chengzhi Hu, Yue Wang","doi":"10.1002/aelm.202400982","DOIUrl":"10.1002/aelm.202400982","url":null,"abstract":"<p>Tactile information, serving as the most intricate form of data humans gather from the external environment, has long been a significant area of focus for wearable flexible sensors. The advancement of wearable technology and robotics in healthcare has spurred research into integrating thin, compact flexible sensors into robotic systems for mimicking human tactile tissue manipulation during surgery and data collection. Here, a continuous injection method is used to fabricate a multi-layer liquid metal sensor. By laminating multiple PDMS microfluidic layers, the two parameters of pressure and deformation are simultaneously measured in a decoupled manner. The compact and thin design of the sensor facilitates its integration into fingers or robotic digits, enabling assistance by deforming upon contact with materials and identifying their hardness through applied pressure. Separate performance tests of the two sensors show that the strain and pressure functions are decoupled from each other, and their ratios can identify and classify the hardness of different contact materials (glass, PDMS, and silicone). The hardness sensor can assist robots in operating human tissues during medical surgeries. The demonstrated fabrication and integration approaches provide a path toward tactile sensor applications in medical treatment, rehabilitation, services, and other processes.</p>","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"11 10","pages":""},"PeriodicalIF":5.3,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aelm.202400982","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144000658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan
{"title":"Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods","authors":"Yuqing Sun, Xiaorui Chen, Jianzhi Gao, Wenliang Zhu, Minghu Pan","doi":"10.1002/aelm.202500210","DOIUrl":"https://doi.org/10.1002/aelm.202500210","url":null,"abstract":"Data quality, feature interpretability, and model generalization are critical and challenging for applying machine learning (ML) in the design of high-efficiency materials. In this work, an ML framework with integrating multi-step feature engineering is constructed for predicting the figure of merit (<i>ZT</i>) values of thermoelectric materials. By incorporating thermoelectric material data from the Starrydata2 database and implementing rigorous data cleaning, a high-quality <i>ZT</i> prediction dataset is established. An integrated strategy of feature extraction with combining Magpie and CBFV methods is utilized, followed by feature selection via Pearson correlation analysis and LassoCV cross-validation. Finally, the deep neural network model (Model-I) demonstrates excellent predictive performance (<i>R</i><sup>2</sup> = 0.95 on the training set and <i>R</i><sup>2</sup> = 0.90 on the test set), as well as identified successfully promising candidates such as CsCdBr<sub>3</sub> and TlBSe<sub>3</sub> in screening chalcogenide and halide perovskites. Combined with Density Functional Theory (DFT) calculation, the outstanding thermoelectric performance of CsCdBr<sub>3</sub> under p-type doping (<i>ZT</i><sub><i>max</i></sub> = 1.64) and the bipolar thermoelectric characteristics of TlBSe<sub>3</sub> (<i>ZT</i><sub><i>max</i></sub> = 1.04 for n-type and <i>ZT</i><sub><i>max</i></sub> = 0.99 for p-type) at 800K are successfully demonstrated, further confirming the reliability of our method. This study provides an applicative data-driven approach for functional material design, balancing predictive accuracy and physical interpretability.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"1 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144000659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Li Zhang, Zhaomeng Wang, Geng Wei, Puyue Xia, Sining Fan, Wenhao Zhang, Shaolong Tang
{"title":"Novel Porous Gold Microspheres Anisotropic Conductive Film (PGMS-ACF) with High Compression Ratio for Flip Chip Packaging","authors":"Li Zhang, Zhaomeng Wang, Geng Wei, Puyue Xia, Sining Fan, Wenhao Zhang, Shaolong Tang","doi":"10.1002/aelm.202500045","DOIUrl":"https://doi.org/10.1002/aelm.202500045","url":null,"abstract":"The preparation of conductive filler is a key technology in anisotropic conductive films preparation. In recent decades, research on the preparation of novel conductive particles has reached a bottleneck. Porous gold materials exhibit high compressibility, low density, and excellent conductivity. It is believed that using porous gold microspheres (PGMS) to supersede polymer composite conductive microspheres has the potential to prepare anisotropic conductive film (ACF) with better performance. However, preparing ultrafine (1–10 µm) PGMS remains challenging. Herein, the study presents a novel method for preparing PGMS with controllable particle size and high sphericity. Results show that porous gold microspheres ACF (PGMS-ACF), containing only 5 wt.% particles (size range 4.5–10.5 µm), achieves good conductivity when held at a pressure range of 0.05–0.6 MPa. Its compression ratio is between 33% and 71% at 0.3 MPa. The 4-point probe measurement shows a contact resistance as low as 10 mΩ in 2 mm<sup>2</sup>. Moreover, PGMS-ACF also exhibits a good linear relationship within 3.3 A. Compared to commercial polymer composite conductive microspheres ACF, PGMS-ACF offers a significant advantage in achieving a large compression ratio, which in turn leads to improved conductivity and reduces the need for precise sorting. The research provides a new approach for the preparation of novel ACF.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"1 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143933225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Febby Krisnadi, Tushar Sakorikar, Man Hou Vong, Michael D. Dickey
{"title":"Improved Direct Ink Writing of Liquid Metal Foams via Liquid Additives","authors":"Febby Krisnadi, Tushar Sakorikar, Man Hou Vong, Michael D. Dickey","doi":"10.1002/aelm.202500009","DOIUrl":"https://doi.org/10.1002/aelm.202500009","url":null,"abstract":"Ga-based liquid metals (LMs) are conductive liquids in room conditions, making them attractive for printing conductive patterns. Yet, LM extrudes as droplets because of its high effective interfacial tension and low viscosity. In contrast, liquid metal foams (LMFs) exhibit yield stress and shear-thinning behavior, which are necessary for extruding filaments for direct ink writing (DIW). LMFs are made by stirring LM in air, thereby entraining oxide-lined air capsules. Unlike LM mixtures containing metallic particles, LMFs do not embrittle from intermetallic phase formation. Here, DIW of LMF and the challenge of separation of dissimilar phases during extrusion are explored. Incorporating additives, glycerol and tannic acid (TA), into LMF improves the printability of the mixture. The new formulations, LMFG (LMF + glycerol) and LMFGT (LMF + TA-glycerol solution), extrude more uniformly and produce better print quality than LMF. Interestingly, the viscosity and flow stress of LMF is between that of LMFGT and LMFG. This highlights the limitation of relying on rheological properties alone to predict printability in the case of LMF-based mixtures. With LM as the continuous phase, these LMF-based inks exhibit high electrical conductivity. DIW of LMF-based inks can be done in room conditions without additional pre/ post-processing, among other advantages.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"8 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143933223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yuxin Liu, Lei Song, Xiaofei Zhang, Ang Bian, Chengxi Zhang, Jun Dai
{"title":"CH3O-PEABr Passivated Quasi-2D Perovskite BA2Cs4Pb5Br16 Thin Film for Green Light-Emitting Diodes","authors":"Yuxin Liu, Lei Song, Xiaofei Zhang, Ang Bian, Chengxi Zhang, Jun Dai","doi":"10.1002/aelm.202500071","DOIUrl":"https://doi.org/10.1002/aelm.202500071","url":null,"abstract":"In this paper, the quasi-2D green perovskite BA<sub>2</sub>Cs<sub>4</sub>Pb<sub>5</sub>Br<sub>16</sub> film passivated by the CH<sub>3</sub>O-PEABr is reported to realize nonradiative defect suppressing. The passivated BA<sub>2</sub>Cs<sub>4</sub>Pb<sub>5</sub>Br<sub>16</sub> film has a large exciton binding energy (74.9 meV), which is conducive to efficient radiation recombination. Time-resolved photoluminescence and ultrafast transient absorption spectroscopy show that the carrier lifetime is effectively prolonged after CH<sub>3</sub>O-PEABr passivation, indicating photoluminescence enhancement is attributed to the nonradiative defect suppressing. Finally, an electroluminescent green light-emitting diodes device is fabricated based on the CH<sub>3</sub>O-PEABr-passivated BA<sub>2</sub>Cs<sub>4</sub>Pb<sub>5</sub>Br<sub>16</sub> thin film, the maximum external quantum efficiency can be 19.47%. The results indicate that the CH<sub>3</sub>O-PEABr passivated BA<sub>2</sub>Cs<sub>4</sub>Pb<sub>5</sub>Br<sub>16</sub> thin film can be a promising material for the high-performance green light-emitting diodes.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"51 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143940344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bhartendu Papnai, Yen Nguyen, Poonam Subhash Borhade, Hsin-Yi Tiffany Chen, Ya-Ping Hsieh, Mario Hofmann
{"title":"Mitigating Defectiveness in 2D Materials Devices by a Visualization-Assisted Fabrication Process","authors":"Bhartendu Papnai, Yen Nguyen, Poonam Subhash Borhade, Hsin-Yi Tiffany Chen, Ya-Ping Hsieh, Mario Hofmann","doi":"10.1002/aelm.202400900","DOIUrl":"10.1002/aelm.202400900","url":null,"abstract":"<p>2D materials are considered promising alternatives for traditional semiconductors in future electronics, but despite significant research efforts, their defectiveness remains too high for modern device requirements. Here, a new strategy is devised to identify defects in 2D materials and selectively fabricate electronic devices in defect-free regions. This “visualize-then-fabricate” strategy is enabled by a specialized defect-identifying surface capable of revealing nanoscopic flaws in the MoS<sub>2</sub> lattice with superior resolution and throughput compared to conventional characterization methods. Leveraging this intermediate step, subsequent lithography can be conducted with precise control over the defectiveness within an electronic device, allowing for the study of the impact of line defects on carrier transport. Moreover, the approach extends the fabrication capabilities of 2D materials to complex 3D surfaces and fragile substrates, thus enhancing their potential for nonconventional and wearable electronics.</p>","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"11 11","pages":""},"PeriodicalIF":5.3,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aelm.202400900","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143920932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Md. Sherajul Islam, Sabyasachi Ganguli, J. Joshua Yang, Ajit K Roy
{"title":"Diffusion Characteristics of Ru and Oxygen Vacancies in Ta2O5 for Resistive Random Access Memory Devices: A Density Functional Theory Investigation","authors":"Md. Sherajul Islam, Sabyasachi Ganguli, J. Joshua Yang, Ajit K Roy","doi":"10.1002/aelm.202500128","DOIUrl":"https://doi.org/10.1002/aelm.202500128","url":null,"abstract":"The resistive switching behavior of memristors is primarily determined by the characteristics of their mobile species, with balancing retention and switching energy being a significant challenge. Ruthenium (Ru) has recently emerged as a potential mobile species, enabling low switching currents, rapid operation, and good retention, addressing critical issues in next-generation memory systems. However, understanding the atomistic details of Ru diffusion in oxides remains lacking but critical for interpreting its promising experimental device behavior. Here, we conduct a comprehensive atomistic analysis of Ru and oxygen vacancy (OV) diffusion in Ta<sub>2</sub>O<sub>5</sub>-based memristors utilizing density functional theory computations. Our findings reveal that Ru-doping at interstitial sites demonstrates a noticeably lower diffusion barrier than OVs, signifying improved mobility under an electric field. This underscores the emergence of Ru-based conductive filaments as a crucial mechanism for memristive switching. Formation energy analyses indicate that Ru ions possess lower formation energies than OVs, improving their thermodynamic stability and mobility within the oxide matrix. Moreover, electronic structure studies reveal significant alterations in the local density of states near the Fermi level around Ru and OV sites, influencing the material's conductive properties. These findings establish a strong basis for optimizing Ru-based memristive devices for next-generation memory technologies.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"37 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143920933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew C. Williams, Jordan MacQueen, Demetra Z. Adrahtas, Kevin C. DePope, Jacob W. Ciszek
{"title":"Readily Tunable Surface Potential by Functionalizing Pentacene with Dipole Monolayers","authors":"Matthew C. Williams, Jordan MacQueen, Demetra Z. Adrahtas, Kevin C. DePope, Jacob W. Ciszek","doi":"10.1002/aelm.202400199","DOIUrl":"10.1002/aelm.202400199","url":null,"abstract":"<p>The surface potential of a prototypical organic semiconductor, pentacene, is chemically modified by the addition of a dipole monolayer on top of the thin film. Changes are afforded by reacting the topmost layer of pentacene to generate the monolayer, and the reactant structure provides a high degree of tunability for surface potential, with shifts up to 800 mV possible. Despite the complexity of the adsorbed layer, the surface potential shift displays a near-linear dependency between dipole strength and surface potential change, and a good degree of predictability via the Helmholtz equation. The large changes in surface potential should be enough to access electron injection in this <i>p</i>-type semiconductor, but device <i>I–V</i> characteristics are not consistent with this behavior. Interactions between the metal top contact and a chemical functional group within the monolayer are the likely culprit, with spectroscopic evidence presented. While tailoring the surface potential of organic surfaces is achievable, maintaining the integrity of surface energetics upon metal deposition remains challenging.</p>","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"11 7","pages":""},"PeriodicalIF":5.3,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aelm.202400199","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143910883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lilan Zou, Junru An, Haonan Xu, Guizhen Wang, Shiwei Lin
{"title":"An Ultrathin Optoelectronic Memristor with Dual-Functional Photodetector and Optical Synapse Behaviors for Neuromorphic Vision","authors":"Lilan Zou, Junru An, Haonan Xu, Guizhen Wang, Shiwei Lin","doi":"10.1002/aelm.202400992","DOIUrl":"https://doi.org/10.1002/aelm.202400992","url":null,"abstract":"Integrating multiple functions within a neuromorphic device is essential for simplifying circuit design in compact artificial vision applications. At the same time, there is a constant push to reduce the size of devices to improve integration. Nevertheless, decreasing the thickness of the active layer compromises photoelectric performance, affecting stability, uniformity, endurance, and photosensitivity. An optoelectronic memristor featuring an ultrathin AlO<sub>x</sub>/TiO<sub>y</sub> periodic heterostructure is proposed. This design minimizes the active layer thickness without compromising optoelectronic properties and enables multifunctionality as a photodetector, electric synapse, and optical synapse in a single device. The periodic heterostructure is successfully prepared by atomic layer deposition with a thickness of only ≈12 nm. The device enables electric synaptic behaviors, which are essential for neuromorphic computing. Notably, the dual-functional photodetector and optical synapse facilitate the efficient acquisition and processing of visual information following specific application scenarios. It enables visual attention simulation for energy-efficient object detection. Finally, a complete visual system is demonstrated, encompassing sensing, front-end preprocessing, and back-end computing. Based on the proposed system, a six-layer convolutional neural network is built to recognize EMNIST patterns, and front-end preprocessing improves recognition accuracy from 64% to 78%.","PeriodicalId":110,"journal":{"name":"Advanced Electronic Materials","volume":"68 1","pages":""},"PeriodicalIF":6.2,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143910949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}