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Transition metal dichalcogenides (TMDs) and their heterojunctions are drawing immense research interest for various applications including infrared detection. They are being studied with different semiconductor materials to explore their heterojunction properties. In this regard, we report a MoSe2/Si heterojunction broadband photodiode which is highly sensitive for a wide spectral range from 405 nm to 2500 nm wavelength with the maximum responsivity of ~ 522 mA/W for 1100 nm of incident light. The hydrothermal synthesis approach leads to the imperfect growth of the MoSe2, creating defects in the lattice, which was confirmed by X-ray photo-spectroscopy. These sub-bandgap defects caused high optical absorption of the SWIR light as observed in the absorption spectra. The speed of the device ranges to 18/10 μsec for 10 kHz modulated light. Furthermore, the photodetector has been fully operational even at zero bias voltage, making it a potential contender for self-powered photodetection.Determination of a stem cell source with sufficient myogenic differentiation capacity that can be easily obtained in large quantities is of great importance in skeletal muscle regeneration therapies. Adipose-derived stem cells (ASCs) are readily available, can be isolated from fat tissue with high yield and possess myogenic differentiation capacity. Even though ASCs have high applicability in muscle regenerative therapies for these reasons, a key challenge is their low differentiation efficiency. In this study, we have explored the potential of mimicking the natural microenvironment of the skeletal muscle tissue to enhance ASC myogenesis by inducing 3D cellular alignment and using dynamic biomimetic culture. ASCs were entrapped and 3D aligned in parallel within fibrin-based microfibers and subjected to uniaxial cyclic stretch. 3D cell alignment was shown to be necessary for achieving and maintaining the stiffness of the construct mimicking the natural tissue (12±1 kPa), where acellular aligned fibers and cell-laden random fibers had stiffness values of 4±1 kPa and 5±2 kPa, respectively at the end of 21 days. The synergistic effect of 3D cell alignment and biomimetic dynamic culture was evaluated on cell proliferation, viability and the expression of muscle-specific markers (immunofluorescent staining for MyoD1, myogenin, desmin and myosin heavy chain). It was shown that the myogenic markers were only expressed on the aligned-dynamic culture samples on day 21 of dynamic culture. These results demonstrate that 3D skeletal muscle grafts can be developed using ASCs by mimicking the structural and physiological muscle microenvironment.In semiconductor industry, one of the most important steps in the development of electronic devices is the discovery of electrode materials suitable for ohmic contact. As a newly found type of 2D materials, MXenes have been explored as materials in Field effect transistors (FETs) with promising performances, which urges the underlying mechanisms to be understood. In this work, the behaviors of the 5-10 nm device model for the monolayer blue Phosphorene (BlueP) and MoS2 with MXene electrode are investigated using ab initio quantum transport simulations. Firstly, the interfacial properties of BlueP and MoS2 in contact with M3C2T2 (M=Ti, Zr, or Hf; T=F, OH, or O) MXene are studied. The results show OH and some of F functionalized MXenes form n-type Ohmic contact with BlueP or MoS2, while the O functionalized MXenes form a p-type ohmic with BlueP and MoS2. Accordingly, the FET model is built with M3C2(OH)2 electrodes, these FETs exhibit high on-currents due to ohmic contacts with the subthreshold swing between 100~200 mV/decade, and high on/off ratios up to 106 at a bias voltage of 0.5 V. our results imply that the FET with the sub-10 nm channel length can satisfy the requirements of both high performance and low power logic applications. The results from in this study indicates that MXenes may act as the appropriate electrode for high-performance BlueP and MoS2 FETs, which may provide new clues to guide the application of various 2D materials in electronics.Objective Event Related Potentials (ERPs) reflecting cognitive response to external stimuli, are widely used in Brain Computer Interfaces (BCI). ERPs are characterized and typically decoded through a fixed set of components with particular amplitude and latency. However, the classical methods which rely on waveform features achieve a high decoding performance only with standardized and well aligned single trials. Since the amplitude and latency are sensitive to the experimental conditions, waveform features cannot be successfully applied for challenging tasks or to generalize across various experimental protocols. Features based on spatial covariances across channels can potentially overcome the latency jitter and delays since they aggregate the information across time. Approach We compared the performance stability of waveform and covariance-based features as well as their combination in simulated scenarios. We investigate two cases 1) classifier transfer between 3 experiments with Error Related Potentials and 2) the performance robustness to the added latency jitter. Salubrinal order Main results The features based on spatial covariances provide a stable performance with a minor decline under jitter levels of up to ± 300 ms, whereas the decoding performance with waveform features quickly drops from 0.85 to 0.55 AUC. The classifier transfer also resulted in a significantly more stable performance with covariance-based features. Significance Our findings suggest that covariance-based features can be used to 1) classify more reliably ERPs with higher intrinsic variability in more challenging real-life applications and 2) generalize across related experimental protocols.Porphyrins are a versatile class of molecules, which have attracted attention over the years due to their electronic, optical and biological properties. Self-assembled monolayers of porphyrins were widely studied on metal surfaces in order to understand the supramolecular organization of these molecules, which is a crucial step towards the development of devices starting from the bottom-up approach. This perspective could lead to tailor the interfacial properties of the surface, depending on the specific interaction between the molecular assembly and the metal surface. In this study, we revisit the investigation of the assembly of zinc-tetraphenylporphyrins (ZnTPP) on Au(111), in order to explore the critical aspect of the mutual interaction between the porphyrin supramolecular structure and the noble metal substrate. The combined analysis of scanning tunneling microscopy (STM) imaging and core levels photoemission spectroscopy measurements support a peculiar arrangement of the ZnTPP molecular network, with Zn atoms occupying the bridge sites of the Au surface atoms.

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