3D Spatial Configuration Research Articles

Highly Efficient Blue Organic Light‐Emitting Devices Based on “Cross”‐Shaped Hot Exciton Emitters

AbstractThe development of blue electroluminescent (EL) materials remains a significant challenge in organic light‐emitting diode (OLED) technology. In this study, a novel design strategy is proposed for blue hot exciton (HE) materials, which involves utilizing a “cross” shaped molecular structure characterized by substantial steric hindrance and a highly twisted conformation. The unique cross‐shaped molecular architecture with distinct “arms” enables flexible control over the excited state properties of the molecule, thereby facilitating precise modulation of high‐lying triplet and low‐lying singlet excited state energy levels. Furthermore, the 3D spatial configuration of the molecule effectively reduces close molecular packing, thereby minimizing the risk of material concentration quenching. The proof‐of‐concept HE emitters CN‐PI and TP‐PI exhibit non‐π‐π stacking configurations in single crystals, achieving high photoluminescence quantum yield (PLQY) values up to 51.3% and 46.5% in non‐doped thin films, respectively, along with rapid radiation decay rates and reasonable distribution of Tm (m ≤ 5) and S1 states. Non‐doped OLEDs incorporating these emitters demonstrate exceptional external quantum efficiencies (EQE), reaching 7.3% and 6.4%, respectively, while exhibiting minimal efficiency roll‐off at high luminance. This research introduces a promising approach for developing high‐performance blue HE emitters.

LatticeOpt: An automatic tool for planning optimisation of spatially fractionated stereotactic body radiotherapy

PurposeLattice radiotherapy (LRT) is a three dimensional (3D) implementation of spatially fractionated radiation therapy, based on regular spatial distribution of high dose spheres (vertices) inside the target. Due to tumour shape heterogeneity, finding the best lattice arrangement is not trivial.The aim of this study was to develop the LatticeOpt tool to generate the best lattice structures on clinical cases for treatment planning. MethodsDeveloped in MATLAB, LatticeOpt finds the 3D-spatial configurations that maximize the number of vertices within the gross target volume (GTV). If organs at risk (OARs) are considered, it chooses the solution that minimizes the overlapping volume histograms (OVH). Otherwise, the lattice structure with the minimum Hausdorff distance between vertices and GTV boundary is chosen to avoid unpopulated regions.Different lattice structures were created for 20 patients, with (OVHopt) and without (OVHunopt) OVH minimization. Imported into TPS (Eclipse, Varian), corresponding plans were generated and evaluated in terms of OAR mean and maximum doses, GTV vertex coverage and dose gradients, as well as pre-clinical plan dosimetry. ResultsPlans based on an optimized lattice structure (OVHopt, OVHunopt) had similar dose distributions in terms of vertex coverage and gradient index score. OAR sparing was observed in all patients, with a 4 % and 9 % difference for mean and max dose (both p-values <0.01), respectively. The best vertices dimensions and their relative distances were patient dependent. ConclusionsLatticeOpt was able to reduce the time-consuming procedures of LRT, as well as to achieve standardized and reproducible results, useful for multicentre studies.

Design of two coordination polymers based on semi-rigid tricarboxylic acid ligands of cobalt (II): Synthesis, structures and properties

In this work, two novel coordination polymers [Co3(L)2(mida)3]n (1) and [Co3(L)2(bimb)3]n (2) have been synthesized using a semi-rigid tricarboxylic acid ligand (H3L: 3-[(1-carbox-ynaphthalen-2-yl)oxy] phthalic acid) and two nitrogen-containing heterocyclic ligands (mida: [1, 4-bis (1H-imidazol-1-yl) benzene] and bimb: {1-[4-(2H-1λ4-imidazol-1-yl) methyl]benzyl}-1H-imidazole). The results of single crystal X-ray diffraction show that the Co-based coordination polymer 1 have a two-dimensional (2D) layered structure, while the coordination polymer 2 presents a three-dimensional (3D) spatial configuration. In addition, the coordination polymers 1 and 2 exihit better selectively catalytic degradation performances of dyes, indicating that Co-based coordination polymers have potential application values in dye degradation.

Platinum-nickel nanocrystals anchored on heteroatom-functionalized Ti3-xC2Ty MXene 3D porous architecture for electrocatalytic hydrogen evolution in alkaline electrolytes

BackgroundRational design and construction of efficient electrocatalysts are crucial for enhancing the activity and stability of the hydrogen evolution reaction (HER) in alkaline electrolytes. MethodsHerein, heteroatom (phosphorus and sulfur)-functionalized and self-adapting Ti3+ species defect decorated Ti3-xC2Ty MXene (PS-TCT) with 3D porous architecture for anchoring platinum-nickel (PtNi) bimetallic nanocrystals for alkaline electrocatalytic HER. Experimental and theoretical studies have shown that the heteroatoms delicately modulated the electronic configuration of MXene to optimize the adsorption capacity of the reaction intermediates. The 3D porous spatial configuration of PS-TCT with abundant Ti3+ species defect endowed an efficient channel for charge transfer and sufficient catalytically active sites, thus facilitating fast dynamics and long-term stability. Additionally, the strong bimetal-substrate interfacial interaction (Pt-S bonding) between PtNi and PS-TCT established an electron directional transport channel, thus achieving valid and stable interfacial electron transport. Significant findingsConsequently, the optimized PtNi@PS-TCT nanohybrids showed remarkable catalytic activity with low overpotentials of 56.1 mV at 10 mA cm−2 and impressive Tafel slope of 81 mV dec−1 for HER in alkaline electrolytes (1.0 M KOH), while exhibiting outstanding electrochemical stability. This work offers a constructive route for precisely constructing high-performance multifunctional composite electrocatalysts.

Effects of urban morphology on thermal comfort at the micro-scale

• Urban morphology had more influence on MRT/PET during daytime than at night. • 3D urban spatial configuration was more significantly correlated with MRT/PET than 2D pattern. • Local thermal comfort was mainly impacted by BFAR during daytime and by TCCR at night. • Evaluating effects of urban morphology on local thermal comfort should control the effects of BFAR. Urban morphology has significant effects on local thermal comfort. To investigate the correlation between thermal condition and urban spatial configuration, 24 typical scenarios were extracted from complex urban area, and 17 2D/3D indicators were selected to represent urban morphology characteristics. Different statistical approaches were employed to quantify the relationship between the selected indicators and MRT/PET. The results showed: (1) urban morphology exerted more influences on local thermal condition during daytime than at night, leading to the spatial heterogeneity of MRT/PET being much higher in the daytime; (2) the correlations between urban morphology indicators and MRT/PET changed dramatically when using different statistical approaches. This finding highlights the necessity of controlling the effect of building floor area ratio when quantifying the impacts of urban spatial configuration on local thermal comfort; (3) 3D urban morphology indicators were more significantly correlated with local thermal comfort than 2D indicators. Specifically, building floor area ratio and tree canopy coverage ratio were the most important predictor of MRT/PET during daytime and at night respectively. This study could further strengthen our understanding the effects of urban morphology on UHI. It could also offer useful insights to urban planners and decision makers on designing and constructing climate-adaptive urban environment.

A bone-based 3D scaffold as an in-vitro model of microenvironment-DLBCL lymphoma cell interaction.

About 30% of patients with diffuse large B-cell lymphoma (DLBCL) relapse or exhibit refractory disease (r/r DLBCL) after first-line immunochemotherapy. Bone marrow (BM) involvement confers a dismal prognosis at diagnosis, likely due to the interaction between neoplastic cells and a complex tumor microenvironment (TME). Therefore, we developed a 3D in-vitro model from human decellularized femoral bone fragments aiming to study the role of mesenchymal stromal cells (MSC) and the extracellular matrix (ECM) in the adaptation, growth, and drug resistance of DLBCL lymphoma cells. The 3D spatial configuration of the model was studied by histological analysis and confocal and multiphoton microscopy which allowed the 3D digital reproduction of the structure. We proved that MSC adapt and expand in the 3D scaffold generating niches in which also other cell types may grow. DLBCL cell lines adhered and grew in the 3D scaffold, both in the presence and absence of MSC, suggesting an active ECM-lymphocyte interaction. We found that the germinal center B-cell (GCB)-derived OCI-LY18 cells were more resistant to doxorubicin-induced apoptosis when growing in the decellularized 3D bone scaffold compared to 2D cultures (49.9% +/- 7.7% Annexin V+ cells in 2D condition compared to 30.7% + 9.2% Annexin V+ 3D adherent cells in the ECM model), thus suggesting a protective role of ECM. The coexistence of MSC in the 3D scaffold did not significantly affect doxorubicin-induced apoptosis of adherent OCI-LY18 cells (27.6% +/- 7.3% Annexin V+ 3D adherent cells in the ECM/MSC model after doxorubicin treatment). On the contrary, ECM did not protect the activated B-cell (ABC)-derived NU-DUL-1 lymphoma cell line from doxorubicin-induced apoptosis but protection was observed when MSC were growing in the bone scaffold (40.6% +/- 5.7% vs. 62.1% +/- 5.3% Annexin V+ 3D adherent cells vs. 2D condition). These data suggest that the interaction of lymphoma cells with the microenvironment may differ according to the DLBCL subtype and that 2D systems may fail to uncover this behavior. The 3D model we proposed may be improved with other cell types or translated to the study of other pathologies with the final goal to provide a tool for patient-specific treatment development.

Construction of a flower-like SnS2/SnO2 junction for efficient photocatalytic CO2 reduction

Photoreduction of CO2 to value-added chemicals and fuels is an attractive solution to alleviate environmental problems and energy crisis at the same time. However, engineering efficient photocatalysts with high activity and product selectivity is still challenging. Herein, we achieved three-dimensional (3D) spatial configuration design at micro-scale and heterogeneous interface construction at nano-scale on a SnS2/SnO2 composite, which featured hierarchical flower-like morphology consisted of nanosheets and type-II semiconductor structure. It behaved excellent selectivity and impressive photocatalytic CO2-to-CO performance with a yielding rate of 60.85 μmol g-1h−1, roughly 3 times higher than that of SnS2 and was in the front rank of this kind catalysts under 300 W Xe lamp illumination without using any sensitizers or noble metals. The enhanced catalytic capability could be attributed to the elaborately built structure with suitable energetic position that afforded effective separation and migration of photo-generated electron/hole pairs as well as enhanced light caption and absorption. Meanwhile, main reactive intermediates (e.g., CO2– and *COOH) were captured by in-situ Fourier transform infrared spectroscopy (FTIR), suggesting a fluent catalytic pathway on the SnS2/SnO2 platform. This work provides a new scheme to build advanced catalysts based on multiscale design and rational phase assembling.

Insights into Inner Ear Function and Disease Through Novel Visualization of the Ductus Reuniens, a Seminal Communication Between Hearing and Balance Mechanisms.

The sensory end-organs responsible for hearing and balance in the mammalian inner ear are connected via a small membranous duct known as the ductus reuniens (also known as the reuniting duct (DR)). The DR serves as a vital nexus linking the hearing and balance systems by providing the only endolymphatic connection between the cochlea and vestibular labyrinth. Recent studies have hypothesized new roles of the DR in inner ear function and disease, but a lack of knowledge regarding its 3D morphology and spatial configuration precludes testing of such hypotheses. We reconstructed the 3D morphology of the DR and surrounding anatomy using osmium tetroxide micro-computed tomography and digital visualizations of three human inner ear specimens. This provides a detailed, quantitative description of the DR's morphology, spatial relationships to surrounding structures, and an estimation of its orientation relative to head position. Univariate measurements of the DR, inner ear, and cranial planes were taken using the software packages 3D Slicer and Zbrush. The DR forms a narrow, curved, flattened tube varying in lumen size, shape, and wall thickness, with its middle third being the narrowest. The DR runs in a shallow bony sulcus superior to the osseus spiral lamina and adjacent to a ridge of bone that we term the "crista reuniens" oriented posteromedially within the cranium. The DR's morphology and structural configuration relative to surrounding anatomy has important implications for understanding aspects of inner ear function and disease, particularly after surgical alteration of the labyrinth and potential causative factors for Ménière's disease.

Architecture of the molecules of life, a contribution of Louis Pasteur to molecular pharmacology; opportunities for adrenergic pharmacology developments

When Louis Pasteur observed para tartaric acid crystals under the microscope, he noted right- and left-handed tiny crystals, which when manually separated resulted in the same optical activity but of opposite sign. This seminal observation was correctly interpreted indicating that para tartaric acid was the mixture of two different molecules: a finding that was later recognised as an essential code of molecular pharmacology based on the 3D spatial configuration of molecules. An immediate application of this concept refers to natural products such as morphine or ephedrine, both of which have the precise stereochemistry to fit and selectively activate the μ-opiate receptor or α-adrenoceptor mechanisms, respectively, and their associated intracellular signalling mechanisms. In this essay, we review the past, present and future of stereochemistry notions and its significance for adrenergic pharmacology, highlighting the relevance of optical isomers of sympathomimetics or β-adrenoceptor antagonists. The principle of optical activity revealed by Pasteur challenges the pharmaceutical industry to identify biologically active chemicals identifying the relevant stereochemical isomer responsible for drug efficacy and safety. It is no overstatement that pain is alleviated worldwide by a single stereochemical morphine isomer, that is synthesised by the poppy plant, which interacts stereospecifically with the relevant opioid receptor(s) highlighting Pasteur’s brilliant discovery to the principles of molecular pharmacology.

The 2016 World Health Organization classification of tumours of the central nervous system

The 2016 WHO classification of tumours of the central nervous system represents the new paradigm among the specialists in the brain tumours and proposes a new approach combining histopathological and molecular features into diagnosis named 'integrated diagnosis'. The aim of this challenge is to overstep the interobserver variability of diagnosis based on previous classifications in order to ensure homogenous biological entities with a more accurate clinical significance. Over the last two decades, several molecular aberrations into gliomagenesis were highlighted and then confirmed as emerging biomarkers through prognostic stratification. In particular, IDH1/IDH2 genes mutations, 1p/19q codeletion and mutations in genes encoding histone H3 variants drastically changed the knowledge about diffuse gliomas inducing the WHO working group to consider the phenotype-genotype approach. In the present review, the historical development of the diagnosis of brain tumours from the 3D spatial configuration to the integration of multidisciplinary data up to recent molecular alterations is discussed. At the national level, the RENOCLIP network (supported by the National Cancer Institute) contributes to improve the standardization of histological diagnosis and the facilitation of access to molecular biology platforms for the detection of genetic aberrations necessary for integrated diagnosis. Importantly, the French POLA cohort allowed to test the clinical impact of the new criteria introduced by 2016 WHO classification of CNS tumours confirming the high accuracy in predicting clinical behaviour for diffuse gliomas.

Systematic study and comparison of photonic nanojets produced by dielectric microparticles in 2D- and 3D-spatial configurations

We present the systematic study of key characteristics (field intensity enhancement, spatial extents) of the 2D- and 3D-photonic nanojets (PNJs) produced by geometrically-regular micron-sized dielectric particles illuminated by a plane laser wave. By means of the finite-difference time-domain calculations, we highlight the differences and similarities between PNJs in these two spatial configurations for curved- (sphere, circular cylinder) and rectangle-shaped scatterers (cube, square bar). Our findings can be useful, for example, for the design of particle-based high-resolution imaging because the spatial resolution by such systems might be further controlled by the optimization of refractive index contrast and geometrical shape of the particle-lens.

Stereo viewing modulates three-dimensional shape processing during object recognition: A high-density ERP study.

The role of stereo disparity in the recognition of 3-dimensional (3D) object shape remains an unresolved issue for theoretical models of the human visual system. We examined this issue using high-density (128 channel) recordings of event-related potentials (ERPs). A recognition memory task was used in which observers were trained to recognize a subset of complex, multipart, 3D novel objects under conditions of either (bi-) monocular or stereo viewing. In a subsequent test phase they discriminated previously trained targets from untrained distractor objects that shared either local parts, 3D spatial configuration, or neither dimension, across both previously seen and novel viewpoints. The behavioral data showed a stereo advantage for target recognition at untrained viewpoints. ERPs showed early differential amplitude modulations to shape similarity defined by local part structure and global 3D spatial configuration. This occurred initially during an N1 component around 145–190 ms poststimulus onset, and then subsequently during an N2/P3 component around 260–385 ms poststimulus onset. For mono viewing, amplitude modulation during the N1 was greatest between targets and distracters with different local parts for trained views only. For stereo viewing, amplitude modulation during the N2/P3 was greatest between targets and distracters with different global 3D spatial configurations and generalized across trained and untrained views. The results show that image classification is modulated by stereo information about the local part, and global 3D spatial configuration of object shape. The findings challenge current theoretical models that do not attribute functional significance to stereo input during the computation of 3D object shape.

Measuring landscape pattern in three dimensional space

General landscape metrics are mainly conducted in two dimensional space, while the terrain undulation is usually not considered. Terrain fluctuation affects a landscape’s spatial heterogeneity and its spatial-temporal dynamics by diversifying the spatial distribution of soil, vegetation and animals. This article proposed three methods to measure the landscape pattern in three dimensional space, including the 3D derivation of 2D landscape metrics, 3D surface roughness parameters, 3D power spectral analysis and 3D correlation analysis. 3D surface data were designed and validated using the proposed 3D landscape pattern analyzing metrics, and the results indicated that these measurements can effectively evaluate the 3D composition, spatial configuration and texture direction of 3D landscape.

Simbiotics: A Multiscale Integrative Platform for 3D Modeling of Bacterial Populations.

Simbiotics is a spatially explicit multiscale modeling platform for the design, simulation and analysis of bacterial populations. Systems ranging from planktonic cells and colonies, to biofilm formation and development may be modeled. Representation of biological systems in Simbiotics is flexible, and user-defined processes may be in a variety of forms depending on desired model abstraction. Simbiotics provides a library of modules such as cell geometries, physical force dynamics, genetic circuits, metabolic pathways, chemical diffusion and cell interactions. Model defined processes are integrated and scheduled for parallel multithread and multi-CPU execution. A virtual lab provides the modeler with analysis modules and some simulated lab equipment, enabling automation of sample interaction and data collection. An extendable and modular framework allows for the platform to be updated as novel models of bacteria are developed, coupled with an intuitive user interface to allow for model definitions with minimal programming experience. Simbiotics can integrate existing standards such as SBML, and process microscopy images to initialize the 3D spatial configuration of bacteria consortia. Two case studies, used to illustrate the platform flexibility, focus on the physical properties of the biosystems modeled. These pilot case studies demonstrate Simbiotics versatility in modeling and analysis of natural systems and as a CAD tool for synthetic biology.

Three-dimensional morphometrics of thoracic vertebrae in Neandertals and the fossil evidence from El Sidrón (Asturias, Northern Spain)

Well preserved thoracic vertebrae of Neandertals are rare. However, such fossils are important as their three-dimensional (3D) spatial configuration can contribute to the understanding of the size and shape of the thoracic spine and the entire thorax. This is because the vertebral body and transverse processes provide the articulation and attachment sites for the ribs. Dorsal orientation of the transverse processes relative to the vertebral body also rotates the attached ribs in a way that could affect thorax width. Previous research indicates possible evidence for greater dorsal orientation of the transverse processes and small vertebral body heights in Neandertals, but their 3D vertebral structure has not yet been addressed. Here we present 15 new vertebral remains from the El Sidrón Neandertals (Asturias, Northern Spain) and used 3D geometric morphometrics to address the above issues by comparing two particularly well preserved El Sidrón remains (SD-1619, SD-1641) with thoracic vertebrae from other Neandertals and a sample of anatomically modern humans. Centroid sizes of El Sidrón vertebrae are within the human range. Neandertals have larger T1 and probably also T2. The El Sidrón vertebrae are similar in 3D shape to those of other Neandertals, which differ from Homo sapiens particularly in central-lower regions (T6–T10) of the thoracic spine. Differences include more dorsally and cranially oriented transverse processes, less caudally oriented spinous processes, and vertebral bodies that are anteroposteriorly and craniocaudally short. The results fit with current reconstructions of Neandertal thorax morphology.

Visual phrase recognition by modeling 3D spatial context of multiple objects

Automatically recognizing the visual phrase of an image is a challenging issue in computer vision. In this paper, we propose a method to discover and identify the visual phrase by automatically analyzing 3D spatial geometric structure of an image. It includes two steps: (1) learning 3D spatial geometric model; and (2) recognizing visual phrase. To achieve the first goal, we propose 3D geometric models (3DSG) that jointly capture both the features of objects and 3D spatial layout among objects in a visual phrase. In the second step, we transform the visual phrase recognition into verification by measuring the similarity of spatial configuration between the given visual pattern and the 3DSG model. The nature of our method makes itself precisely determine whether the given visual pattern belongs to a specific 3DSG model or not by maximizing the joint probability of the given visual pattern and a 3DSG model. Experiments conducted on several datasets show that our model outperforms the state-of-the-art models in modeling 3D spatial geometric structure as well as recognizing visual phrase. The results also demonstrate that modeling 3D spatial configuration between objects can significantly improve the deeper image understanding.

Quantifying the effect of crop spatial arrangement on weed suppression using functional-structural plant modelling.

Suppression of weed growth in a crop canopy can be enhanced by improving crop competitiveness. One way to achieve this is by modifying the crop planting pattern. In this study, we addressed the question to what extent a uniform planting pattern increases the ability of a crop to compete with weed plants for light compared to a random and a row planting pattern, and how this ability relates to crop and weed plant density as well as the relative time of emergence of the weed. To this end, we adopted the functional-structural plant modelling approach which allowed us to explicitly include the 3D spatial configuration of the crop-weed canopy and to simulate intra- and interspecific competition between individual plants for light. Based on results of simulated leaf area development, canopy photosynthesis and biomass growth of the crop, we conclude that differences between planting pattern were small, particularly if compared to the effects of relative time of emergence of the weed, weed density and crop density. Nevertheless, analysis of simulated weed biomass demonstrated that a uniform planting of the crop improved the weed-suppression ability of the crop canopy. Differences in weed suppressiveness between planting patterns were largest with weed emergence before crop emergence, when the suppressive effect of the crop was only marginal. With simultaneous emergence a uniform planting pattern was 8 and 15 % more competitive than a row and a random planting pattern, respectively. When weed emergence occurred after crop emergence, differences between crop planting patterns further decreased as crop canopy closure was reached early on regardless of planting pattern. We furthermore conclude that our modelling approach provides promising avenues to further explore crop-weed interactions and aid in the design of crop management strategies that aim at improving crop competitiveness with weeds.

&lt;em&gt;In situ&lt;/em&gt; Compressive Loading and Correlative Noninvasive Imaging of the Bone-periodontal Ligament-tooth Fibrous Joint

This study demonstrates a novel biomechanics testing protocol. The advantage of this protocol includes the use of an in situ loading device coupled to a high resolution X-ray microscope, thus enabling visualization of internal structural elements under simulated physiological loads and wet conditions. Experimental specimens will include intact bone-periodontal ligament (PDL)-tooth fibrous joints. Results will illustrate three important features of the protocol as they can be applied to organ level biomechanics: 1) reactionary force vs. displacement: tooth displacement within the alveolar socket and its reactionary response to loading, 2) three-dimensional (3D) spatial configuration and morphometrics: geometric relationship of the tooth with the alveolar socket, and 3) changes in readouts 1 and 2 due to a change in loading axis, i.e. from concentric to eccentric loads. Efficacy of the proposed protocol will be evaluated by coupling mechanical testing readouts to 3D morphometrics and overall biomechanics of the joint. In addition, this technique will emphasize on the need to equilibrate experimental conditions, specifically reactionary loads prior to acquiring tomograms of fibrous joints. It should be noted that the proposed protocol is limited to testing specimens under ex vivo conditions, and that use of contrast agents to visualize soft tissue mechanical response could lead to erroneous conclusions about tissue and organ-level biomechanics.

A genetic algorithm based optimization framework to visualize, evaluate, and modify 3D space configurations in Desktop VR

This paper presents the design and implementation of a Desktop VR (Virtual Reality) framework for generating and evaluating Pareto-optimal alternate 3D spatial configurations using GA (genetic algorithms). The 3-tier framework involves the generation of the Pareto-optimal plans using GA which are subsequently visualized first using a Java-based 2D Interface and finally in the form of a 3D VR scene. The search spaces (function domains) are extremely large in today’s multifaceted interior design situations, and the optimization procedure involves conflicting objective functions, and limitations in the form of constraint functions. The interior space allocation problem is formulated and implemented as the “optimal configuration of artifacts”. When using GAs, a group of Pareto-optimal solutions (Pareto set) are available for the planners and decision-makers, wherefrom one solution ought to be picked. Therefore, this study applies a tool to not only visually evaluate the plans, but also to interact with those plans to develop them further if needed. Besides enabling the optimal spatial configuration of the scene elements, this framework also facilitates evaluation and interaction via the 3D VR worlds. The framework aids the proactive exploration, analysis, and finalization of design aspects such as color, size, lighting, etc. of the various elements prior to the actual construction. The results demonstrate the robust performance of the GA and the final 3D VR environment with dynamic interactive capabilities. This final interface facilitates “GA-Compliant” transformations and scene modifications thereby facilitating the exploration and examination of alternative scene configurations.

Bifacial DNA Origami-Directed Discrete, Three-Dimensional, Anisotropic Plasmonic Nanoarchitectures with Tailored Optical Chirality

Discrete three-dimensional (3D) plasmonic nanoarchitectures with well-defined spatial configuration and geometry have aroused increasing interest, as new optical properties may originate from plasmon resonance coupling within the nanoarchitectures. Although spherical building blocks have been successfully employed in constructing 3D plasmonic nanoarchitectures because their isotropic nature facilitates unoriented localization, it still remains challenging to assemble anisotropic building blocks into discrete and rationally tailored 3D plasmonic nanoarchitectures. Here we report the first example of discrete 3D anisotropic gold nanorod (AuNR) dimer nanoarchitectures formed using bifacial DNA origami as a template, in which the 3D spatial configuration is precisely tuned by rationally shifting the location of AuNRs on the origami template. A distinct plasmonic chiral response was experimentally observed from the discrete 3D AuNR dimer nanoarchitectures and appeared in a spatial-configuration-dependent manner. This study represents great progress in the fabrication of 3D plasmonic nanoarchitectures with tailored optical chirality.