Article describes how pseudocapacitive storage of multivalent ions, especially Ca2+, in heteroatom-doped carbon nanomaterials is promising to achieve both high energy and power densities, but there is the lack of pseudocapacitive theories that enable rational design of the materials for calcium-ion batteries.

Article describes how today's large-scale scientific applications running on high-performance computing (HPC) systems generate vast data volumes. Thus, data compression is becoming a critical technique to mitigate the storage burden and data-movement cost. In this paper, the authors develop a fast and high- ratio error-bounded lossy compressor on GPUs for scientific data (called FZ-GPU).

Article explores solid-state additive manufacturing of AZ31B-Mg alloy using additive friction stir deposition. Spatial and temporal evolution of temperature during additive friction stir deposition was predicted using multi-layer computational process model.

Article describes how processes including hot compression, cold compression and subsequent annealing on the structures and properties are investigated and compared. They found that applying pressure up to 10 GPa at the glass transition temperature led to permanent densifications and a dramatic increase of elastic moduli by 90%, while thermal annealing reversed the increase and applying pressure at ambient temperature did not increase the modulus.

Article provides an overview of recent progress in superlubricity research involving solid, liquid, and gaseous media and discuss the prospects for achieving superlubricity in engineering applications leading to greater efficiency, durability, environmental quality, and hence global sustainability.

Article exploring graph node property prediction. Originally presented as part of the application track at the 38th International Conference on Logic Programming in Haifa, Israel.

This article proposes a novel flower classification method that combines enhanced VGG16 (E-VGG16) with decision fusion.

Article summarizing the past and present development of colonoscopy video analysis methods, focusing on two categories of artificial intelligence (AI) technologies used in clinical trials, (1) analysis and feedback for improving colonoscopy quality and (2) detection of abnormalities.

This article microstructurally tailors an exceptionally high-strength titanium alloy, Ti-6Al-2Sn-4Zr-6Mo (Ti6246) through friction stir processing (FSP) in order to provide enhanced weight savings and improved fuel efficiency. The specific strength attained in one of the conditions is close to 450 MPa m³/mg, which is about 22% to 85% greater than any commercially available metallic material. This novel nano particle strengthened Ti alloy is a potential replacement for many structural alloys, enabling significant weight reduction opportunities.

This article performs X-ray photoelectron, Raman, and diffraction studies of few-layered pulsed laser deposited WS₂ films as a function of laser fluence and frequency to understand the impact on structure and properties.

Article investigates a novel genetically themed hierarchical algorithm (GTHA) to design Fresnel lens solar concentrators that match with the distinct energy input and spatial geometry of various thermal applications.

This article provides an extended analysis of void shape by means of X-ray computed tomography (CT) applied to fused deposition modeling (FDM) samples. Furthermore, a relation between the tensile mechanical properties and digital void measurements is established. The results lead to the formulation of a novel criterion that predicts the mechanical behavior of AM components.

Article presents an alternative block wall with Bayburt stone (BS) containing zeolite, namely lightweight concrete masonry blocks (LCMBs).

This is the Accepted Manuscript version of an article that proposes HAR-Depth with sequential and shape learning along with the novel concept of depth history image (DHI) to address the challenges of Human action recognition (HAR). Results suggest that the proposed work of this paper performs better in terms of overall accuracy, kappa parameter and precision compared to the other state-of-the-art algorithms present in the earlier reported literature.

Accepted Manuscript version of an article introducing the innovative idea of the Internet-of-Agro-Things (IoAT) with an explanation of the automatic detection of plant disease for the development of Agriculture Cyber-Physical System (ACPS). An accuracy of 99.24% is achieved by the proposed plant disease prediction framework.

Article combining TIN with the topological interference management (TIM) framework that identifies optimal interference avoidance schemes and formulates a TIM-TIN problem for multilevel topological interference management, wherein only a coarse knowledge of channel strengths and no knowledge of channel phases is available to transmitters.

This article presents the results of a prospective study investigating a proof-of-concept, smartphone-based, online system for fall detection and notification. Apart from functioning as a practical fall monitoring instrument, this system may serve as a valuable research tool, enable future studies to scale their ability to capture fall-related data, and help researchers and clinicians to investigate real-falls.

Article demonstrates electrostatic switching in vertically oriented carbon nanofibers synthesized on refractory metallic nitride substrates, where pull-in voltages Vpi ranged from 10 to 40 V. A finite element model was also developed to determine a theoretical Vpi and results were compared to experiment.

Article presents the large scale synthesis of solution-processed 2D (CH₃(CH₂)₃NH₃)₂(CH₃NH₃)ₙ − 1PbₙI₃ₙ + 1 (n = 2, 3, and 4) perovskites, a family of layered compounds with composition-tunable bandgap, where inkjet printing was used to fabricate heterostructure, flexible photodetector devices. The flexible, inkjet-printed perovskite 2D heterostructures have significant potential for optoelectronic devices, which can enable broad possibilities with compositional tunability and versatility of the organohalide perovskites.

Article describes precession electron diffraction (PED), which makes possible the very accurate and automated quantitative characterization of technically interesting materials that historically have been difficult to analyze due to their dimensions and/or degree of deformation, including specifically ultrafine-grained metallic structures with high dislocation densities.

Article describes a study in which a micro milling process was used to manufacture AISI 316L stainless steel needles arrays with a conical geometry (i.e., a base diameter and height of 1 mm by 1 mm, respectively), and an analysis of tool wear on ball nose micro end milling tools with a diameter of ~200 μm was performed to evaluate the use of lubricant in the manufacture of those conical surfaces.

Article presents several process planning guidelines as a result of a selective laser melting (SLM) process calibration for a selected material (stainless steel 316L), with the intention of contributing in process parameters selection in net shape manufacturing.

Article proposes a strategy called Dynamic Bank Partitioning (DBP), which allocates memory banks to different applications based on their memory access characteristic, and also proposes an adaptive method to dynamically select an optimal page policy for each bank according to the characteristics of memory accesses that each bank receives to further reduce power consumption.

Article describes experiment where researchers synthesized a PEGylated isoniazid (PEG-g-INH or PEG–INH) by gamma radiation-induced polymerization for the first time.