Microreactors are widely used in energy storage and conversion systems, where fluid flow fields play a significant role reaction-fluid performance. While conventional bio-inspired have been investigated literature, they often limited to forward design framework. Forward-designed depend on an initial layout selection with freedom. In this paper, inverse dehomogenization framework is proposed discover innovative microreactor field designs. A gradient-based method applied optimize the spatially...

This paper provides a comprehensive review of quantum spin sensing with focus on the nitrogen vacancy (NV) center in diamond. Beginning discovery optically detected magnetic resonance NV centers, we trace evolution this technology and its integration complementary metal-oxide-semiconductor technology, marking significant advancement measurement science. The unique optical properties operational at room temperature under ambient conditions, have broadened their application spectrum, notably...

Dense false target jamming has highly deceptive and suppressive characteristics, which may exist seriously impact on radar systems. Hence, based the principle that jammers generate dense jamming, a waveform design method of suppression is proposed to solve this problem. A criterion pulse effective through minimizing cross correlation level waveform, autocorrelation sidelobe waveform. The could be solved by least-pth algorithm. Simulation results indicate designed effectively suppress jamming.

Abstract Heterogeneous integration of electronics is critical to the next wave applications ranging from extremely power dense energy conversion systems advanced chiplet and copackaged optics architectures for next-generation computing. Enhanced functionality operation are essential goals in heterogeneous integration. In all applications, effective thermal management both active passive electronic devices required support these goals. Additive manufacturing (AM) opens new avenues...

Abstract This paper introduces a new computational framework for modeling and designing morphable surface structures based on an integrated approach that leverages circle packing representation, conformal mapping to link local global kinematics, topology optimization actuator design. The utilizes unique strategy of employing optimized compliant actuators as the basic building blocks surface. These actuators, designed circular elements capable modifying their radius curvature, are using...

Recent advances in diffusion models show promising potential for learning-based optimization by leveraging their multimodal sampling capability to escape local optima. However, existing diffusion-based approaches, often reliant on supervised training, lacks a mechanism ensure strict constraint satisfaction which is required real-world applications. One resulting observation the distributional misalignment, i.e. generated solution distribution exhibits small overlap with feasible domain. In...

Modern computational resources have revolutionized the optimization of materials research for creating advanced photonic elements. These same are in such demand that alternative formats compute technology being pursued, which has reignited interest processing. This talk will review our progress towards design optical elements a variety applications. We studied meta-optical metalense technology, periodic metamaterials image processing applications, and exploration unorthodox structural...

Abstract Microchannel reactors are critical in biological plus energy-related applications and require meticulous design of hundreds-to-thousands fluid flow channels. Such systems commonly comprise intricate space-filling microstructures to control the distribution for reaction process. Traditional channel schemes intuition-based or utilize analytical rule-based optimization strategies that oversimplified large-scale domains arbitrary geometry. Here, a gradient-based method is proposed,...

Black-box topology optimization (BBTO) uses evolutionary algorithms and other soft computing techniques to generate near-optimal topologies of mechanical structures. Although are widely used compensate the limited applicability conventional gradient techniques, methods based on BBTO have been criticized due numerous drawbacks. In this article, we discuss as a black-box problem. We review main methods, their challenges present approaches relax them. Dealing with those effectively can lead...

Topology optimization for additive manufacturing has been limited to the design of single-piece components that fit within printer's build volume. This paper presents a gradient-based multicomponent topology method structures assembled from built by powder bed (MTO-A), which enables multipiece assemblies larger than Constraints on component geometry are incorporated in density-based framework, with an additional field governing partitioning. For each component, constraints maximum allowable...

Abstract This paper presents a multicomponent topology optimization method for designing structures assembled from additively manufactured components, considering anisotropic material behavior each component due to its build orientation, distinct behavior, and stress constraints at interfaces (i.e., joints). Based upon the (MTO) framework, simultaneous of structural topology, partitioning, orientations is achieved, which maximizes an assembly-level stiffness performance subject maximum...

This article is focused on the thermal design and three-dimensional (3-D) package optimization of planar magnetic components (PMCs), including transformers inductors for application in an electric vehicle composite boost dc-dc converter. Each PMC comprises electrical windings printed circuit board (PCB) form combination with a ferrite core. Multiple features each are thermally optimized proposed device configurations given core size, loss distribution, number turns PCB winding, winding...

This paper presents a case study of the design, fabrication, and evaluation an automotive rear-frame model made variable axial composites (VAC), using tailored fiber placement (TFP) technique. Conventionally, design three-dimensional complex VAC structure places significant demands on mechanical engineering expertise (for anisotropic structural design) man-hours fiber-path CAD). The proposed methods facilitate structures with significantly reduced manpower requirements. A computational...

This article is focused on modeling and design optimization of high-current-ripple planar inductors in liquid-cooled high-power applications, such as electric-vehicle drivetrain systems, where efficiency power density are the key performance metrics. The planar-inductor facilitated by innovations computationally efficient accurate models ac winding loss thermal management. A novel approximate analytical model for takes into account effects inside-the-core versus outside-the-core geometry...

Cellular structures manifest their outstanding mechanical properties in many biological systems. One key challenge for designing and optimizing these geometrically complicated lies devising an effective geometric representation to characterize the system's spatially varying cellular evolution driven by objective sensitivities. A conventional discrete structure, e.g., a Voronoi diagram, whose relies on cells faces, lacks its differentiability facilitate large-scale, gradient-based topology...

An experimental investigation of the air flow emanating from a Turing pattern microchannel array into an open atmosphere at very low Reynolds (Re) numbers is presented. As designed, structure has channel sizes ranging between 0.6 mm and 1.5 with depth mm. The development modified Bernoulli equation analysis method to determine fluid speed introduced. Specifically, cost, large (11.11 inner diameter) flexible tube probe was employed measure total pressure field distribution fixed distance...