bluuebunny/crossref_metadata_2025_split huggingface dataset:
Large‐Area Self‐Assembled Hexagonal Boron Nitride Nanosheet Films for Ultralow Dark Current Vacuum‐Ultraviolet Photodetectors
Authors: Zhang Qifan , Li Qiang , Chen Ransheng , Zhang Mingyin , Fang Wannian , Li Jiaxing , Wang Mingdi , Yun Feng , Wang Tao , Hao Yue 
Published: March 2024

AbstractHexagonal boron nitride (hBN) is one of the most promising candidates for vacuum‐ultraviolet photodetectors (VUV PDs). However, the efficient and low‐cost fabrication of large‐area hBN‐PDs still encounters challenges. Herein, a cost‐effective route is proposed for fast and scalable fabrication of high‐performance VUV PDs via hBN nanosheet (BNNS) films. BNNSs are peeled from bulk hBN and self‐assembled into large‐area ordered films. In such PDs, junction barriers are present at the contact interfaces of BNNSs and give the PDs a “light‐induced reduction of junction barrier height” working mechanism. The number of junction barriers are qualitatively adjusted by designing the size of BNNSs to optimize the performance of the devices. The performance of ultralow dark current (0.27 pA@80 V), high detectivity (3.42 × 1011 Jones), and fast response speed (20.97/17.69 ms) for 185 nm VUV light is achieved by a fabricated PD. Analysis based on the Schottky contact model proves that the large photoresponse is mainly attributed to the reduction of the barriers and series resistance on illumination. Meanwhile, a physical model is established to describe the working process of such PDs, of which conductivity is dominated by the junction barriers. Besides, a flexible PD is also fabricated, depicting excellent stability, and robustness.
A Strain‐Temperature Integrated Polymer‐Derived SiCN Ceramic High Temperature Sensor with Wide‐Range and Ultra‐Short Response Time
Authors: Yang Mengmeng , Ma Chao , Hu Yibo , Wang Kang , Zhao Rui , Liang Yi , Han Daoyang , Wang Hailong , Zhang Rui , Shao Gang 
Published: March 2024

AbstractFabricating strain sensors with high response in a wide temperature and strain range is still a challenge, especially in high temperature harsh environments. Herein, a dual‐functional sensor with cantilever beam structure is fabricated using polymer‐derived SiCN ceramics, which can be applied for temperature and stain monitor. The performance of the integrated sensor is evaluated from room temperature to 1000 °C and the related sensing mechanism is analyzed. The prepared strain sensor has ultrafast response of 60 ms in the strain range of 0–3500 µε and the maximum strain rate can reach 46 200 µε s−1. Moreover, the sensor has excellent stability and ultra‐high sensitivity under high temperature environments. Additionally, the temperature can be detected separately up to 1000 °C without any disturbance. This attractive integration sensor with competitive sensitivity, excellent stability, ultrafast response speed, and broad range, has great potential to detect temperature and strain signals for practical application in high temperature extreme environments.
Enhanced Cellular Uptake through Nanotopography‐Induced Macropinocytosis
Authors: Aramesh Morteza , Yu Di , Essand Magnus , Persson Cecilia 
Published: March 2024

AbstractEfficient cellular uptake of biomolecules, including genetic material, mRNA, proteins, and nanoparticles, requires novel approaches to overcome inherent cellular barriers. Here, the study investigates how nanotopographical cues from nanoporous surfaces impact the uptake efficiency by cells. The results demonstrate notable enhancements in cellular uptake efficiency across a range of vectors when cells are exposed to nanoporous surfaces. The uptake process is found to be dependent on the size and morphology of the nanopores, reaching a peak efficacy with blind pores of 400 nm in size. Enhanced genetic transduction on nanoporous surfaces are observed for multiple vectors, including lentiviruses, baculoviruses, and mRNA molecules. The versatile nature of this approach allows co‐transfection of cells with multiple mRNA vectors. Moreover, the nanoporous platform is used for efficient and fast manufacturing of Chimeric Antigen Receptor (CAR)‐T cells through lentiviral transduction. Furthermore, the study pinpoints macropinocytosis as the predominant mechanism driving increased cellular uptake induced by the nanoporous surfaces. The introduced method for enhancing genetic transduction of cells has applications in immunotherapy research, drug delivery, and cell engineering.
Conjugated Polythiophene Frameworks as a Hole‐Selective Layer on Ta3N5 Photoanode for High‐Performance Solar Water Oxidation
Authors: Yang Jin Wook , Kwon Hee Ryeong , Ji Su Geun , Kim Jaehyun , Lee Sol A , Lee Tae Hyung , Choi Sungkyun , Cheon Woo Seok , Kim Younhwa , Park Jungwon , Kim Jin Young , Jang Ho Won 
Published: March 2024

AbstractDiscovering a competent charge transport layer promoting charge separation in photoelectrodes is a perpetual pursuit in photoelectrochemical (PEC) water splitting to achieve high solar‐to‐hydrogen (STH) conversion efficiency. Here, a conjugated polythiophene framework (CPF‐TTB) on Ta3N5 is elaborately electropolymerized, substantiating the hole transport behavior in their heterojunction. Tailored band structures of the CPF‐TTB/Ta3N5 reinforce the separation of photogenerated carriers, elevating a fill factor of the photoanode modified with a cocatalyst. The enhanced hole extraction enables the NiFeOx/CPF‐TTB/Ta3N5/TiN photoanode to generate a remarkable water oxidation photocurrent density of 9.12 mA cm−2 at 1.23 V versus the reversible hydrogen electrode. A tandem device combining the photoanode with a perovskite/Si solar cell implements an unbiased solar water splitting with a STH conversion efficiency of 6.26% under parallel illumination mode. This study provides novel strategies in interface engineering for metal nitride‐based photoelectrodes, suggesting a promise of the organic–inorganic hybrid photoelectrode for high‐efficiency PEC water splitting.
Phase Inversion‐Induced Porous Polymer Coating for High Rate and Stable Zinc Anode
Authors: Bian Haifeng , Wang Changhao , Wang Yongkang , Ren Yilun , Ge Yu , Wu Hao , Wang Biao , Chen Dongyuan , Yang Beibei , Bin Duan , Li Yunsong , Gu Jian , Ma Yujie , Tang Shaochun , Meng Xiangkang , Lu Hongbin 
Published: March 2024

AbstractPolymer coatings are emerged as promising candidates for zinc anode artificial solid electrolyte interphase (ASEI) owing to their barrier effect and zincophilicity. However, the poor ionic conductivity of conventional polymer coatings limits their application. Herein, inspired by epidermis function, a porous poly(methylmethacrylate) (PMMA) coating is fabricated to stabilize Zn anode via a novel phase inversion method. The modified Zn anode delivers a remarkable lifespan of over 4000 h at 1 mA cm−2, 1 mAh cm−2, and 120 h at 20 mA cm−2, 20 mAh cm−2 in symmetrical cells. Moreover, porous PMMA‐Zn||NVO full cell also exhibits an excellent cycling stability over 500 cycles at 1 A g−1 as well as an ultralong lifespan exceeding 5000 cycles at 5 A g−1. The excellent cycling stability and rate performance are mainly attributed to the avoided side reactions by the coating protection, as well as the enhanced diffusion and reaction kinetics derived from the good zincophilicity and porous structure of porous PMMA. The facile and universal method for fabricating porous polymer ASEI provides a new insight for the application of conventional polymer materials in Zn anode protection.
Genetically Encoded XTEN‐based Hydrogels with Tunable Viscoelasticity and Biodegradability for Injectable Cell Therapies
Authors: Bennett Jennifer I. , Boit Mary O'Kelly , Gregorio Nicole E. , Zhang Fan , Kibler Ryan D. , Hoye Jack W. , Prado Olivia , Rapp Peter B. , Murry Charles E. , Stevens Kelly R. , DeForest Cole A. 
Published: March 2024

AbstractWhile direct cell transplantation holds great promise in treating many debilitating diseases, poor cell survival and engraftment following injection have limited effective clinical translation. Though injectable biomaterials offer protection against membrane‐damaging extensional flow and supply a supportive 3D environment in vivo that ultimately improves cell retention and therapeutic costs, most are created from synthetic or naturally harvested polymers that are immunogenic and/or chemically ill‐defined. This work presents a shear‐thinning and self‐healing telechelic recombinant protein‐based hydrogel designed around XTEN – a well‐expressible, non‐immunogenic, and intrinsically disordered polypeptide previously evolved as a genetically encoded alternative to PEGylation to “eXTENd” the in vivo half‐life of fused protein therapeutics. By flanking XTEN with self‐associating coil domains derived from cartilage oligomeric matrix protein, single‐component physically crosslinked hydrogels exhibiting rapid shear thinning and self‐healing through homopentameric coiled‐coil bundling are formed. Individual and combined point mutations that variably stabilize coil association enables a straightforward method to genetically program material viscoelasticity and biodegradability. Finally, these materials protect and sustain viability of encapsulated human fibroblasts, hepatocytes, embryonic kidney (HEK), and embryonic stem‐cell‐derived cardiomyocytes (hESC‐CMs) through culture, injection, and transcutaneous implantation in mice. These injectable XTEN‐based hydrogels show promise for both in vitro cell culture and in vivo cell transplantation applications.
ITPR2 Mediated Calcium Homeostasis in Oligodendrocytes is Essential for Myelination and Involved in Depressive‐Like Behavior in Adolescent Mice
Authors: Zhang Ming , Zhi Na , Feng Jiaxiang , Liu Yingqi , Zhang Meixia , Liu Dingxi , Yuan Jie , Dong Yuhao , Jiang Sufang , Ge Junye , Wu Shengxi , Zhao Xianghui 
Published: March 2024

AbstractCa2+ signaling is essential for oligodendrocyte (OL) development and myelin formation. Inositol 1,4,5‐trisphosphate receptor type 2 (ITPR2) is an endoplasmic reticulum calcium channel and shows stage‐dependent high levels in postmitotic oligodendrocyte precursor cells (OPCs). The role and potential mechanism of ITPR2 in OLs remain unclear. In this study, it is revealed that loss of Itpr2 in OLs disturbs Ca2+ homeostasis and inhibits myelination in adolescent mice. Animals with OL‐specific deletion of Itpr2 exhibit anxiety/depressive‐like behaviors and manifest with interrupted OPC proliferation, leading to fewer mature OLs in the brain. Detailed transcriptome profiling and signal pathway analysis suggest that MAPK/ERK‐CDK6/cyclin D1 axis underlies the interfered cell cycle progression in Itpr2 ablated OPCs. Besides, blocking MAPK/ERK pathway significantly improves the delayed OPC differentiation and myelination in Itpr2 mutant. Notably, the resting [Ca2+]i is increased in Itpr2 ablated OPCs, with the elevation of several plasma calcium channels. Antagonists against these plasma calcium channels can normalize the resting [Ca2+]i level and enhance lineage progression in Itpr2‐ablated OPCs. Together, the findings reveal novel insights for calcium homeostasis in manipulating developmental transition from OPCs to pre‐OLs; additionally, the involvement of OLs‐originated ITPR2 in depressive behaviors provides new therapeutic strategies to alleviate myelin‐associated psychiatric disorders.
Leave No Photon Behind: Artificial Intelligence in Multiscale Physics of Photocatalyst and Photoreactor Design
Authors: Loh Joel Yi Yang , Wang Andrew , Mohan Abhinav , Tountas Athanasios A. , Gouda Abdelaziz M. , Tavasoli Alexandra , Ozin Geoffrey A. 
Published: March 2024

AbstractAlthough solar fuels photocatalysis offers the promise of converting carbon dioxide directly with sunlight as commercially scalable solutions have remained elusive over the past few decades, despite significant advancements in photocatalysis band‐gap engineering and atomic site activity. The primary challenge lies not in the discovery of new catalyst materials, which are abundant, but in overcoming the bottlenecks related to material‐photoreactor synergy. These factors include achieving photogeneration and charge‐carrier recombination at reactive sites, utilizing high mass transfer efficiency supports, maximizing solar collection, and achieving uniform light distribution within a reactor. Addressing this multi‐dimensional problem necessitates harnessing machine learning techniques to analyze real‐world data from photoreactors and material properties. In this perspective, the challenges are outlined associated with each bottleneck factor, review relevant data analysis studies, and assess the requirements for developing a comprehensive solution that can unlock the full potential of solar fuels photocatalysis technology. Physics‐informed machine learning (or Physics Neural Networks) may be the key to advancing this important area from disparate data towards optimal reactor solutions.
Radar Micro‐Doppler Signature Generation Based on Time‐Domain Digital Coding Metasurface
Authors: Wang Si Ran , Dai Jun Yan , Ke Jun Chen , Chen Zhan Ye , Zhou Qun Yan , Qi Zhen Jie , Lu Ying Juan , Huang Yan , Sun Meng Ke , Cheng Qiang , Cui Tie Jun 
Published: March 2024

AbstractMicro‐Doppler effect is a vital feature of a target that reflects its oscillatory motions apart from bulk motion and provides an important evidence for target recognition with radars. However, establishing the micro‐Doppler database poses a great challenge, since plenty of experiments are required to get the micro‐Doppler signatures of different targets for the purpose of analyses and interpretations with radars, which are dramatically limited by high cost and time‐consuming. Aiming to overcome these limits, a low‐cost and powerful simulation platform of the micro‐Doppler effects is proposed based on time‐domain digital coding metasurface (TDCM). Owing to the outstanding capabilities of TDCM in generating and manipulating nonlinear harmonics during wave‐matter interactions, it enables to supply rich and high‐precision electromagnetic signals with multiple micro‐Doppler frequencies to describe the micro‐motions of different objects, which are especially favored for the training of artificial intelligence algorithms in automatic target recognition and benefit a host of applications like imaging and biosensing.
Spectral Asymmetry Induces a Re‐Entrant Quantum Hall Effect in a Topological Insulator
Authors: Wang Li‐Xian , Beugeling Wouter , Schmitt Fabian , Lunczer Lukas , Mayer Julian‐Benedikt , Buhmann Hartmut , Hankiewicz Ewelina M. , Molenkamp Laurens W. 
Published: March 2024

AbstractThe band inversion of topological materials in three spatial dimensions is intimately connected to the parity anomaly of 2D massless Dirac fermions, known from quantum field theory. At finite magnetic fields, the parity anomaly reveals itself as a non‐zero spectral asymmetry, i.e., an imbalance between the number of conduction and valence band Landau levels, due to the unpaired zero Landau level. This work reports the realization of this 2D Dirac physics at a single surface of the 3D topological insulator (Hg,Mn)Te. An unconventional re‐entrant sequence of quantized Hall plateaus in the measured Hall resistance can be directly related to the occurrence of spectral asymmetry in a single topological surface state. The effect should be observable in any topological insulator where the transport is dominated by a single Dirac surface state.
Structural Differences at Quadruplex‐Duplex Interfaces Enable Ligand‐Induced Topological Transitions
Authors: Vianney Yoanes Maria , Dierks Dorothea , Weisz Klaus 
Published: March 2024

AbstractQuadruplex‐duplex (QD) junctions, which represent unique structural motifs of both biological and technological significance, have been shown to constitute high‐affinity binding sites for various ligands. A QD hybrid construct based on a human telomeric sequence, which harbors a duplex stem‐loop in place of a short lateral loop, is structurally characterized by NMR. It folds into two major species with a (3+1) hybrid and a chair‐type (2+2) antiparallel quadruplex domain coexisting in a K+ buffer solution. The antiparallel species is stabilized by an unusual capping structure involving a thymine and protonated adenine base AH+ of the lateral loop facing the hairpin duplex to form a T·AH+·G·C quartet with the interfacial G·C base pair at neutral pH. Addition and binding of Phen‐DC3 to the QD hybrid mixture by its partial intercalation at corresponding QD junctions leads to a topological transition with exclusive formation of the (3+1) hybrid fold. In agreement with the available experimental data, such an unprecedented discrimination of QD junctions by a ligand can be rationalized following an induced fit mechanism.
Enantio‐ and Regioselective Cascade Hydroboration of Methylenecyclopropanes for Facile Access to Chiral 1,3‐ and 1,4‐Bis(boronates)
Authors: Zhou Jian , Meng Ling , Yang Ziyi , Wang Jun (Joelle) 
Published: March 2024

AbstractChiral 1, n‐bis(boronate) plays a crucial role in organic synthesis and medicinal chemistry. However, their catalytic and asymmetric synthesis has long posed a challenge in terms of operability and accessibility from readily available substrates. The recent discovery of the C═C bond formation through β‐C elimination of methylenecyclopropanes (MCP) has provided an exciting opportunity to enhance molecular complexity. In this study, the catalyzed asymmetric cascade hydroboration of MCP is developed. By employing different ligands, various homoallylic boronate intermediate are obtained through the hydroboration ring opening process. Subsequently, the cascade hydroboration with HBpin or B2pin2 resulted in the synthesis of enantioenriched chiral 1,3‐ and 1,4‐bis(boronates) in high yields, accompanied by excellent chemo‐ and enantioselectivities. The selective transformation of these two distinct C─B bonds also demonstrated their application potential in organic synthesis.
Regulated Hydrated Eutectic Electrolyte Enhancing Interfacial Chemical Stability for Highly Reversible Aqueous Aluminum‐Ion Battery with a Wide Temperature Range of −20 to 60 °C
Authors: Zhang Xiaoyang , Wang Rui , Liu Zixiang , Ma Quanwei , Li Hongbao , Liu Yangyang , Hao Junnan , Zhang Shilin , Mao Jianfeng , Zhang Chaofeng 
Published: March 2024

AbstractThe development of aqueous aluminum‐ion batteries (AAIBs) is impeded by pronounced side reactions and hydrogen evolution reaction (HER). Here, an eutectic electrolyte named HEE30 (with an optimal molar ratio of 1:8:1:30 for Al(OTf)3, glycerol (Gly), sodium beta‐glycerophosphate pentahydrate (SG), and H2O) to significantly enhance the reversibility of AAIBs across a wide temperature range from −20 to 60 °C is designed. The combination of molecular dynamics simulations and operando synchrotron Fourier‐transform infrared spectroscopy reveals that the unique eutectic network significantly enhances the hydrogen bonding between Gly and H2O, reduces the solvation interaction of Al3+ with active H2O, thereby lowering the freezing point, extending electrochemical windows and suppressing HER. The X‐ray photoelectron spectroscopy (XPS) and X‐ray diffraction (XRD) tests demonstrate that HEE30 is capable of forming a solid electrolyte interface layer consisting of organic and inorganic components, which effectively inhibits corrosion. Additionally, operando synchrotron XRD and ex situ XPS are employed to investigate the changes in lattice peak width and position of the Prussian white cathode, as well as the reversible storage mechanism during cycling This quantitative design offer immediate advantages for the rational development of low‐cost and safe energy storage batteries, specifically tailored for wide‐temperature operation and durable cycling.
Highly efficient capture of CO2 through the synergy of intramolecular amines within piperazine‐derived alcoholamines
Authors: Jia Shaojun , Jiang Yao , Zheng Songtao , Li Yi , Wu Yan , Liu Xiao‐Qin , Cui Peng 
Published: March 2024

AbstractAmine‐scrubbing‐based chemical absorption remains a prominent CO2 capture process. However, the overall efficiency of conventional amine absorbents is hard to meet the ever‐increasing demands for CO2 capture. Consequently, developing powerful absorbents for efficient and cost‐effective CO2 capture is greatly important but challenging. Here, a new type of amine absorbent with improved solubility and stability was achieved by substituting the secondary amino groups in piperazine (PZ) with aminoethyl and hydroxyalkyl moieties. The developed amine absorbent presents superior CO2 absorption/desorption abilities through the synergy of their intramolecular amines, leading to a low regeneration energy consumption of 2.56 GJ·t−1 CO2. Moreover, the enhancement of CO2 capture and the corresponding mechanism were elucidated using density functional theory calculations and nuclear magnetic resonance analysis. Such newly developed amine absorbent with excellent CO2 capture performance are expected to greatly contribute to ongoing efforts toward carbon neutrality.
Data‐driven plant‐model mismatch quantification in closed‐loop system based on output predictions
Authors: Shi Yimiao , Xu Xiaodong , Dubljevic Stevan 
Published: March 2024

AbstractThe assessment and diagnosis of controller performance for model‐based closed‐loop control systems has received considerable attention in recent years. A recognized factor dilapidating the controller performance is mismatching the true dynamical model of the plant and the mathematic model employed in the controller. In order to reduce the heavy effort to re‐identify the entire model, a large amount of recent works have been focusing on locating the mismatch. To further improve the mathematic model as well as controller performance, in this article, we provide a novel prediction‐based plant‐model mismatch quantification approach, which belongs to the class of moment match methodology. In particular, two cases of output prediction are considered: one‐step ahead prediction and multistep ahead prediction. Compared with existing efforts along the same line of mismatch quantification, when using the one‐step ahead prediction, our method shows an advantage of light computational complexity. On the other hand, when utilizing multistep predictions, it shows better convergence and robustness than the former, especially in the case of structural mismatches, and the long‐term prediction capability of the model is employed. With both predictions and consideration of the existence of unknown noise models in practice, we show that the plant‐model mismatch and unknown parameters of noise models can be quantified as the solution of a minimization issue that penalizes the discrepancy between the sample of plant outputs and the predictions calculated by considering the plant‐model mismatch and noise model parameters. Several examples are provided to demonstrate the effectiveness of the proposed methods, respectively.