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Room-temperature multiple ligands-tailored SnO_(2) quantum dots endow in situ dual-interface binding for upscaling efficient perovskite photovoltaics with high V_(OC)

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Light(science & Applications) 2021年第12期10卷 2467-2481页

作者： Zhiwei Ren Kuan Liu Hanlin Hu Xuyun Guo Yajun Gao Patrick W.K.Fong Qiong Liang Hua Tang Jiaming Huang Hengkai Zhang Minchao Qin Li Cui Hrisheekesh Thachoth Chandran Dong Shen Ming-Fai Lo Annie Ng Charles Surya Minhua Shao Chun-Sing Lee Xinhui Lu Frédéric Laquai Ye Zhu Gang Li Department of Electronic and Information Engineering Research Institute for Smart Energy(RISE)Guangdong-Hong Kong-Macao(GHM)Joint Laboratory for Photonic-Thermal-Electrical Energy Materials and DevicesThe Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina Department of Electrical and Computer Engineering Nazarbayev UniversityNur-SultanKazakhstan The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen 518057China Hoffmann Institute of Advanced Materials Shenzhen Polytechnic7098 Liuxian BoulevardShenzhen 518055China Department of Applied Physics The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina Department of Chemical and Biological Engineering The Hong Kong University of Science and TechnologyClear Water BayKowloonHong KongChina King Abdullah University of Science and Technology(KAUST) KAUST Solar Center(KSC)Physical Sciences and Engineering Division(PSE)Material Science and Engineering Program(MSE)Thuwal 23955-6900Kingdom of Saudi Arabia Department of Physics The Chinese University of Hong KongShatin 999077 Hong KongChina Center of Super-Diamond and Advanced Films(COSDAF) Department of ChemistryCity University of Hong KongHong KongChina

The benchmark tin oxide(SnO_(2))electron transporting layers(ETLs)have enabled remarkable progress in planar perovskite solar cell(PSCs).However,the energy loss is still a challenge due to the lack of“hidden interface”*** report a novel ligand-tailored ultrafine SnO_(2) quantum dots(QDs)via a facile rapid room temperature ***,the ligand-tailored SnO_(2) QDs ETL with multi-functional terminal groups in situ refines the buried interfaces with both the perovskite and transparent electrode via enhanced interface binding and perovskite *** novel ETLs induce synergistic effects of physical and chemical interfacial modulation and preferred perovskite crystallization-directing,delivering reduced interface defects,suppressed non-radiative recombination and elongated charge carrier *** conversion efficiency(PCE)of 23.02%(0.04 cm^(2))and 21.6%(0.98 cm^(2),V_(OC) loss:0.336 V)have been achieved for the blade-coated PSCs(1.54 eV E_(g))with our new ETLs,representing a record for SnO_(2) based blade-coated ***,a substantially enhanced PCE(V_(OC))from 20.4%(1.15 V)to 22.8%(1.24 V,90 mV higher V_(OC),0.04 cm^(2) device)in the blade-coated 1.61 eV PSCs system,via replacing the benchmark commercial colloidal SnO_(2) with our new ETLs.

关键词： perovskite interface quantum

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Self-adaptive vision-language model for 3D segmentation of pulmonary artery and vein

arXiv

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arXiv 2025年

作者： Guo, Xiaotong Yang, Deqian Wang, Dan Zhao, Haochen Li, Yuan Sui, Zhilin Zhou, Tao Zhang, Lijun Meng, Yanda State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China Department of Thoracic Surgery National Clinical Research Center for Cancer Cancer Hospital Shenzhen Hospital China School of Intelligent Science and Technology Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 China R&D Center Guangxi Huayi Artificial Intelligence Medical Technology Co. Ltd. China School of Computer Science and Engineering Beihang University Beijing China Department of Computer Science University of Exeter Exeter United Kingdom Department of Cardiovascular & Metabolic Medicine University of Liverpool Liverpool United Kingdom Guangzhou Jiayi Software Technology Co. Ltd. China

Accurate segmentation of pulmonary structures is crucial in clinical diagnosis, disease study, and treatment planning. Significant progress has been made in deep learning-based segmentation techniques, but most require much labeled data for training. Consequently, developing precise segmentation methods that demand fewer labeled datasets is paramount in medical image analysis. The emergence of pre-trained vision-language foundation models, such as CLIP, recently opened the door for universal computer vision tasks. Exploiting the generalization ability of these pre-trained foundation models on downstream tasks, such as segmentation, leads to unexpected performance with a relatively small amount of labeled data. However, exploring these models for pulmonary artery-vein segmentation is still limited. This paper proposes a novel framework called Language-guided self-adaptive Cross-Attention Fusion Framework. Our method adopts pre-trained CLIP as a strong feature extractor for generating the segmentation of 3D CT scans, while adaptively aggregating the cross-modality of text and image representations. We propose a s pecially designed adapter module to fine-tune pre-trained CLIP with a self-adaptive learning strategy to effectively fuse the two modalities of embeddings. We extensively validate our method on a local dataset, which is the largest pulmonary artery-vein CT dataset to date and consists of 718 labeled data in total. The experiments show that our method outperformed other state-of-the-art methods by a large margin. Our data and code will be made publicly available upon acceptance. Copyright © 2025, The Authors. All rights reserved.

关键词： Visual languages

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A Leader-Follower Based Parallel Accelerated Particle Swarm Optimization Algorithm for Smart Grid Resource Allocation

A Leader-Follower Based Parallel Accelerated Particle Swarm ...

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Annual North-American Power Symposium

作者： Sheroze Liaquat Robert Fourney Timothy M. Hansen Tanveer Hussain Berk Celik Department of Electrical Engineering and Computer Science South Dakota State University Brookings USA Power and Energy Systems Idaho National Laboratory Idaho Falls ID USA AVENUES Université de Technologie de Compiègne Compiègne France

Smart grid resource allocation (SGRA) is a large-scale demand response optimization problem to lower the electricity cost of customers by intelligently shifting their schedulable devices via an aggregator. The SGRA problem aims to maximize the aggregator profit while still considering the inconvenience and the availability constraints of each customer's assets. A heuristic approach provides a reliable method to find near-optimal solutions to non-convex, complex, and multi-dimensional problems by reducing the computational time and not relying on gradients. To further improve the computational time of the heuristics, high-performance parallel computing concepts can be used to divide the formulated problem into smaller sub-problems. This research proposes a leader-follower based parallel Accelerated Particle Swarm Optimization (APSO) to find near-optimal solutions of SGRA using the OpenMP framework in MATLAB. The leader-follower topology allows the parallel execution of each particle, resulting in lower execution time. The proposed parallel APSO was both significantly faster (2 - 7×) than existing SGRA literature methods, and achieves similar aggregator profit, customer savings, and peak demand reduction.

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Absolute Localization in Feature-Poor Industrial Confined Spaces

Absolute Localization in Feature-Poor Industrial Confined Sp...

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IEEE International Workshop on Safety, Security, and Rescue Robotics (SSRR)

作者： Rune Y. Brogaard Robert A. Hewitt Sarah Etter Arash Kalantari Evangelos Boukas Faculty of Electrical Engineering Technical University of Denmark Kgs Lyngby Denmark Mobility and Robotic Systems Section NASA Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA Department of Computer Science University of Texas Austin TX USA

Autonomous inspection of dark, confined, and feature-poor spaces requires robotic platforms to utilize accurate and reliable localization systems for safe and reliable operation. This paper presents an absolute localization system for highly feature-poor spaces, using visual inertial odometry and GPU-based point cloud registrations for limited field-of-view sensors. The extracted structural elements from sensor scans, along side IMU measurements, are used to limit the search area for the GPU-based point cloud registrations. We employ Stein-ICP which is an uncertainty aware variant of ICP. The 3D registrations are then fused with a visual-inertial odometry estimate in an Extended Kalman Filter to provide a fast and accurate absolute pose estimate. The proposed localization system is tested in both a simulated environment and in a mock-up model of a chemical distillation column - both highly feature-poor areas.

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Reverse-Bias Resilience of Monolithic Perovskite/Silicon Tandem Solar Cells

Reverse-Bias Resilience of Monolithic Perovskite/Silicon Tan...

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IEEE Conference Photovoltaic Specialists (PVSC)

作者： Zhaojian Xu Helen Bristow Maxime Babics Badri Vishal Erkan Aydin Randi Azmi Esma Ugur Bumin K. Yildirim Jiang Liu Ross A. Kerner Stefaan De Wolf Barry P. Rand Department of Electrical and Computer Engineering Princeton University Princeton NJ USA Physical Science and Engineering Division (PSE) KAUST Solar Center (KSC) King Abdullah University of Science and Technology (KAUST) Thuwal Kingdom of Saudi Arabia National Renewable Energy Laboratory Chemistry and Nanoscience Center Golden CO USA Andlinger Center for Energy and the Environment Princeton University Princeton NJ USA

ISBN: (数字)9781665464260

ISBN: (纸本)9781665475822

Metal halide perovskites have rapidly enabled a range of high-performance photovoltaic technologies. However, catastrophic failure under reverse voltage bias hinders their commercialization. In this work, we demonstrate that by employing a monolithic perovskite/silicon tandem structure, the perovskite subcell can be effectively protected by the silicon subcell under reverse bias, owing to the low reverse-bias diode current of the silicon subcell. As a result, the tested perovskite/silicon tandem devices show superior reverse-bias resilience compared to perovskite single-junction devices in both long-term reverse voltage biasing tests at the single-cell level and partial shading tests at the module level. These results highlight that, compared to other perovskite technologies, monolithic perovskite/silicon tandems are at a higher technology readiness level in terms of tackling the reverse-bias and partial shading challenge, which is a considerable advantage towards commercialization.

关键词： Photovoltaic systems Photovoltaic cells Metals Voltage Perovskites Silicon Commercialization Resilience

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Machine Learning and IoT based Performance Improvement of Energy Efficiency in Smart Buildings

Machine Learning and IoT based Performance Improvement of En...

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Sustainable Computing and Data Communication Systems (ICSCDS), International Conference on

作者： Sowmya Jagadeesan C.N. Ravi M. Sujatha S Sree Southry J Sundararajan Ch. Venkata Krishna Reddy Departnent of BCA and IT iNurture Education Solutions Vels Institute of Science Technology and Advanced Studies Chennai Tamil Nadu India Department of Computer Science and Engineering CMR Engineering college Hyderabad Telangana India Department of Electrical and Electronics Engineering Easwari Engineering College Ramapuram Chennai Tamil Nadu India Department of Electronics and Communication Engineering Sona College of Technology Salem Tamil Nadu India Department of Electronics and Communication NPR College of Enggineering and Technology Dindugul Tamil Nadu India Department of Electrical and Electronics Engineering Chaitanya Bharathi Institute of Technology Hyderabad Telangana India

The energy plays a prominent role in the development of a country’s economic conditions. This helps to increase the overall performance index of a country. Thus a continuous energy system is needed to develop a country’s performance index. Thus to have an advancement in the energy management system, an improved system called smart grid is implemented. This helps in efficient usage of energy management through meeting the demand side managing in the smart buildings. This assistances to decrease the additional procedure of energy consumption through optimization techniques such as genetic algorithm used in smart buildings. This is done with the machine learning through optimization algorithm. This helps to proper scheduling of appliances. This is done through the priority scheduling. The overall performance is done through the internet of things with sensors. The sensors helps in the process of sensing the external physical parameters such as temperature, humidity, moisture, heat and light. This helps to enhance the energy efficiency in the smart buildings through the machine learning and IoT.

关键词： Temperature sensors Smart buildings Processor scheduling Machine learning Energy efficiency Performance analysis Smart grids

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Single-Photon Advantage in Quantum Cryptography Beyond QKD

arXiv

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arXiv 2024年

作者： Vajner, Daniel A. Kaymazlar, Koray Drauschke, Fenja Rickert, Lucas Helversen, Martin V. Liu, Hanqing Li, Shulun Ni, Haiqiao Niu, Zhichuan Pappa, Anna Heindel, Tobias Institute of Solid State Physics Technical University of Berlin Berlin10623 Germany Electrical Engineering and Computer Science Department Technical University of Berlin Berlin10623 Germany Key Laboratory of Optoelectronic Materials and Devices Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China

In quantum cryptography, fundamental laws of quantum physics are exploited to enhance the security of cryptographic tasks. Quantum key distribution is by far the most studied protocol to date, enabling the establishment of a secret key between trusted parties. However, there exist many practical use-cases in communication networks, which also involve parties in distrustful settings. The most fundamental quantum cryptographic building block in such a distrustful setting is quantum coin flipping, which provides an advantage compared to its classical equivalent. So far, few experimental studies on quantum coin flipping have been reported, all of which used probabilistic quantum light sources facing fundamental limitations. Here, we experimentally implement a quantum strong coin flipping protocol using single-photon states and demonstrate an advantage compared to both classical realizations and implementations using faint laser pulses. We achieve this by employing a state-of-the-art deterministic single-photon source based on the Purcell-enhanced emission of a semiconductor quantum dot in combination with fast polarization-state encoding with a quantum bit error ratio below 3%, required for the successful execution of the protocol. The reduced multi-photon emission yields a smaller bias of the coin flipping protocol compared to an attenuated laser implementation, both in simulations and in the experiment. By demonstrating a single-photon quantum advantage in a cryptographic primitive beyond QKD, our work represents a major advance towards the implementation of complex cryptographic tasks in a future quantum internet. © 2024, CC BY.

关键词： Nanocrystals

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Relaxation Based Modeling of GMD Induced Cascading Failures in ***

Relaxation Based Modeling of GMD Induced Cascading Failures ...

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2021 North American Power Symposium, NAPS 2021

作者： Mate, Adam Barnes, Arthur K. Morley, Steven K. Friz-Trillo, Jacob A. Cotilla-Sanchez, Eduardo Blake, Sean P. Los Alamos National Laboratory Advanced Network Science Initiative Los AlamosNM87545 United States Los Alamos National Laboratory Space Science and Applications Group Los AlamosNM87545 United States Department of Electrical and Biomedical Engineering University of Vermont BurlingtonVT05405 United States Oregon State University School of Electrical Engineering and Computer Science CorvallisOR97331 United States NASA Goddard Space Flight Center Heliophysics Science Division GreenbeltMD20771 United States

ISBN: (纸本)9781665420815

A major risk of geomagnetic disturbances (GMDs) is cascading failure of electrical grids. The modeling of GMD events and cascading outages in power systems is difficult, both independently and jointly, because of the many different mechanisms and physics involved. This paper introduces a relaxation based modeling of GMD-induced cascading failures: the dc approximation-based DCSIMSEP solver was adapted to simulate cascading as a result of GMDs, the full set of ac power flow equations were relaxed to guarantee optimality, and the reactive power losses were modeled while keeping the problem convex. The developed algorithm was implemented in *** - an open-source software specifically designed to model and analyze geomagnetic hazards - and demonstrated to work on the RTS-GMLC-GIC-EAST synthetic test network. © 2021 IEEE.

关键词： Open source software

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Interpretable inverse-designed cavity for spontaneous photon-pair generation

Interpretable inverse-designed cavity for spontaneous photon...

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Frontiers in Optics + Laser science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser science 2023

作者： Jia, Zhetao Qarony, Wayesh Park, Jagang Hooten, Sean Wen, Difan Zhiyenbayev, Yertay Seclì, Matteo Redjem, Walid Dhuey, Scott Schwartzberg, Adam Yablonovitch, Eli Kanté, Boubacar Department of Electrical Engineering and Computer Sciences University of California Berkeley BerkeleyCA94720 United States Hewlett Packard Labs Hewlett Packard Enterprise 820 N. McCarthy Blvd. MilpitasCA95035 United States Applied Science and Technology Graduate Group University of California at Berkeley BerkeleyCA94720 United States Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States

We demonstrate the first inverse-designed device for enhancing photon-pair generation rate in silicon photonics with compact footprint. The proposed inverse-design approach can be generalized to other nonlinear photon... 详细信息

ISBN: (纸本)9781957171296

关键词： Four wave mixing Grating coupler Nonlinear effects Optical confinement Scanning electron microscopy Silicon photonics

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Learning spectral normalized adversarial systems with stacked structure for high-quality 3D object generation

Learning spectral normalized adversarial systems with stacke...

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作者： Zhang, Haoxu Qiu, Chenchen Wang, Chao Wei, Bin Yu, Zhibin Zheng, Haiyong Li, Juan Department of Electronic Engineering College of Information Science and Engineering Ocean University of China Qingdao China Shandong Key Laboratory of Digital Medicine and Computer Assisted Surgery The Affiliated Hospital of Qingdao University Qingdao China Department of Mathematics School of Science and Engineering University of Dundee Dundee United Kingdom College of Mechanical and Electrical Engineering Qingdao Agricultural University Qingdao China

This paper proposes a new method for generating 3D objects based on generative adversarial networks (GANs). Recently, GANs have been used in 3D object generation, but it is still very challenging to generate high-quality 3D objects because of the complex data distribution over 3D objects. In this paper, we propose a system based on GAN that makes the generated objects more realistic. We use multiple generators and discriminators to enhance the ability of the model for learning complex distributions. Such a stacked structure can be considered as a coarse-to-fine or low-to-high–resolution mechanism. We employ the spectral normalization technology to control the Lipschitz constant of the discriminators by literally constraining the spectral norm of each layer to get a more stable training process. In this way, the proposed model can generate realistic and high-quality 3D objects. Moreover, our system can also recover incomplete 3D objects into complete 3D objects. Experiments demonstrate that our model performs better in the quality of the generated objects than the baselines. © 2019 John Wiley & Sons, Ltd.

关键词： Generative adversarial networks

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