Recently, near-ambient superconductivity has been experimentally evidenced in a nitrogen-doped lutetium hydride [Nature (London) 615, 244 (2023)], which yields a remarkable maximum ${T}_{c}$ of 294 K at just 10 kbar. However, due to the difficulty of x-ray diffraction (XRD) in identifying light elements, such as hydrogen and nitrogen, the crystal structure of the superconductor remains elusive, in particular, for the actual stoichiometry of hydrogen and nitrogen and their atomistic positions. This holds even for its parent structure. Here, we set out to address this issue by performing a thorough density functional theory study on the structural, electronic, dynamical, and optical properties of lutetium hydrides. Through thermal and lattice dynamic analysis as well as XRD and superconductor color comparisons, we unambiguously clarified that the parent structures are a mixture of the dominant ${\mathrm{LuH}}_{2}$ phase of the ${\mathrm{CaF}}_{2}$ type (instead of the originally proposed ${\mathrm{LuH}}_{3}$ structure of the $Fm\overline{3}m$ space group) and the minor LuH phase of the NaCl type.
Abstract Vertical three-dimensional integration of two-dimensional (2D) semiconductors holds great promise, as it offers the possibility to scale up logic layers in the z axis 1–3 . Indeed, vertical complementary field-effect transistors (CFETs) built with such mixed-dimensional heterostructures 4,5 , as well as hetero-2D layers with different carrier types 6–8 , have been demonstrated recently. However, so far, the lack of a controllable doping scheme (especially p-doped WSe 2 (refs. 9–17 ) and MoS 2 (refs. 11,18–28 )) in 2D semiconductors, preferably in a stable and non-destructive manner, has greatly impeded the bottom-up scaling of complementary logic circuitries. Here we show that, by bringing transition metal dichalcogenides, such as MoS 2 , atop a van der Waals (vdW) antiferromagnetic insulator chromium oxychloride (CrOCl), the carrier polarity in MoS 2 can be readily reconfigured from n- to p-type via strong vdW interfacial coupling. The consequential band alignment yields transistors with room-temperature hole mobilities up to approximately 425 cm 2 V −1 s −1 , on/off ratios reaching 10 6 and air-stable performance for over one year. Based on this approach, vertically constructed complementary logic, including inverters with 6 vdW layers, NANDs with 14 vdW layers and SRAMs with 14 vdW layers, are further demonstrated. Our findings of polarity-engineered p- and n-type 2D semiconductor channels with and without vdW intercalation are robust and universal to various materials and thus may throw light on future three-dimensional vertically integrated circuits based on 2D logic gates.
Abstract Reconstructive phase transitions involving breaking and reconstruction of primary chemical bonds are ubiquitous and important for many technological applications. In contrast to displacive phase transitions, the dynamics of reconstructive phase transitions are usually slow due to the large energy barrier. Nevertheless, the reconstructive phase transformation from β - to λ -Ti 3 O 5 exhibits an ultrafast and reversible behavior. Despite extensive studies, the underlying microscopic mechanism remains unclear. Here, we discover a kinetically favorable in-plane nucleated layer-by-layer transformation mechanism through metadynamics and large-scale molecular dynamics simulations. This is enabled by developing an efficient machine learning potential with near first-principles accuracy through an on-the-fly active learning method and an advanced sampling technique. Our results reveal that the β − λ phase transformation initiates with the formation of two-dimensional nuclei in the a b -plane and then proceeds layer-by-layer through a multistep barrier-lowering kinetic process via intermediate metastable phases. Our work not only provides important insight into the ultrafast and reversible nature of the β − λ transition, but also presents useful strategies and methods for tackling other complex structural phase transitions.
Machine learning is the core of artificial intelligence. Using optical signals for training and converting them into electrical signals for inference, combines the strengths of both, and thus can greatly improve machine learning efficiency. Optoelectronic memories are the hardware foundation for this strategy. However, the existing optoelectronic memories cannot modulate a large number of non-volatile resistive states using ultra-short and ultra-dim light pulses, leading to low training accuracy, slow computing speed and high energy consumption. Here, we synthesized a van der Waals layered photoconductive material, (NH4)BiI3, with excellent photoconductivity and strong dielectric screening effect. We further employed it as the photosensitive control gate in a floating-gate transistor, replacing the commonly used metal control gate, to construct an optical floating gate transistor which achieves adjustable synaptic weights under ultra-dim light without gate voltage assistance. Moreover, it shows ultra-low training energy consumption to generate a non-volatile state and the largest resistive state numbers among the known non-volatile optoelectronic memories. These exceptional performances enable the construction of one-transistor-one-memory device arrays to achieve ~99% accuracy in Artificial Neural Networks. Moreover, the device arrays can match the performance of GPU in YOLOv8 while greatly reducing energy consumption. The authors synthesise a Bi-based halide and use it as a photosensitive control gate in a floating-gate transistor, enabling a non-volatile optoelectronic memory with ultra-low energy consumption and large resistive state numbers, for high-accuracy machine learning.
Abstract Since the graphitic carbon nitride (g-C 4 N 3 ), which can be seen as C-doped graphitic-C 3 N 4 (g-C 3 N 4 ), was reported to display ferromagnetic ground state and intrinsic half-metallicity (Du et al ., PRL , 108 , 197207 , 2012 ), it has attracted numerous research interest to tune the electronic structure and magnetic properties of g-C 3 N 4 due to their potential applications in spintronic devices. In this paper, we reported the experimentally achieving of high temperature ferromagnetism in metal-free ultrathin g-C 3 N 4 nanosheets by introducing of B atoms. Further, first-principles calculation results revealed that the current flow in such a system was fully spin-polarized and the magnetic moment was mainly attributed to the p orbital of N atoms in B doped g-C 3 N 4 monolayer, giving the theoretic evidence of the ferromagnetism and half-metallicity. Our finding provided a new perspective for B doped g-C 3 N 4 spintronic devices in future.
MoS2-based transition-metal chalcogenides are considered as cost-effective, highly active, and stable materials with great potential in the application of electrocatalytic hydrogen production. However, their limited quantity of active sites and poor conductivity have hampered the efficiency of hydrogen production. Combining calculations and experiments, we demonstrate that P dopants could be the new active sites in the basal plane of MoS2 and help improve the intrinsic electronic conductivity, leading to a significantly improved activity for hydrogen evolution. Furthermore, the P-doped MoS2 nanosheets show enlarged interlayer spacing, facilitating hydrogen adsorption and release progress. Experimental results indicate that the P-doped MoS2 nanosheets with enlarged interlayer spacing exhibit remarkable electrocatalytic activity and good long-term operational stability (with Tafel slope of 34 mV/dec and an extremely low overpotential of ∼43 mV at 10 mA/cm2) . Our method demonstrated a facile technology for improving the electrocatalytic efficiency of MoS2 for hydrogen evolution reaction through nonmetal doping, which could be explored to enhance and understand the catalytic properties of other transition-metal chalcogenides.
Here, we introduce phase change mechanisms in lead-free piezoceramics as a strategy to utilize attendant volume change for harvesting large electrostrain. In the newly developed (K,Na)NbO3 solid-solution at the polymorphic phase boundary we combine atomic mapping of the local polar vector with in situ synchrotron X-ray diffraction and density functional theory to uncover the phase change and interpret its underlying nature. We demonstrate that an electric field-induced phase transition between orthorhombic and tetragonal phases triggers a dramatic volume change and contributes to a huge effective piezoelectric coefficient of 1250 pm V-1 along specific crystallographic directions. The existence of the phase transition is validated by a significant volume change evidenced by the simultaneous recording of macroscopic longitudinal and transverse strain. The principle of using phase transition to promote electrostrain provides broader design flexibility in the development of high-performance piezoelectric materials and opens the door for the discovery of high-performance future functional oxides.