Osaka Research Institute of Industrial Science and Technology

For the atomically thin 2D semiconductors with great potentials in the post Moore's era, the doping is a prerequisite for the device engineering and integration. Limited by the doping approaches, elemental doping of 2D semiconductors has not been fully explored. Here, by using a liquid phase edge epitaxy method which can dissolve the dopants in the liquid phase, we have succeeded in doping MoS2 monolayer with more than 40 elements (including transition metals, lanthanides, and main group elements). In this doping library, rarely observed p-type transport behavior has been obtained in Ti, Zn, and Au doped MoS2 monolayers. While Cu, Ga, Zr, Nb, In, Sn, Hf, Ta, Pb, Bi and rare earth of Eu, Gd, Tm, Lu doped MoS2 monolayers have showed low on/off ratios (<10). The obtained p-type, n-type and metallic MoS2 monolayers enables future all-MoS2 based device integration. Additionally, rare earth of Ce, Nd, Dy and Ho doped MoS2 monolayers have showed soft magnetization with semiconducting transport behavior. At last, DFT calculations have revealed that the preferred doping configurations varies for different elements from Mo-substitution, S-substitution to S-site adsorption.

The evolution of advanced additive manufacturing (AM) techniques, such as automatic tow placement (ATP), necessitates the development of compatible material systems with enhanced and tunable inherent properties. This study introduces a novel subclass of printable carbon nanocomposites based on a photocurable thermosetting resin, hybridized with graphene flakes (GF) and multiwalled carbon nanotubes (MWCNT). We systematically investigated the effects of varying nanoparticle content ratios separately, GF, MWCNT, and hybrid GF-MWCNT (0.1–0.5 wt%), on the neat printable resin. Our comprehensive characterization revealed that while incorporating carbon-based nanoparticles produced minimal changes in physicochemical properties and the additive manufacturing processability (average viscosity of 0.315 ± 0.017), it significantly altered the material’s thermal properties (residual mass increased monotonically with filler content, reaching up to 7.2% for 0.5 MWCNTs and 8.0% for hybrid GF-MWCNT) at 700 °C. The mechanical responses also exhibited notable changes. Specifically, under quasi-static mechanical loading, the AM process-induced nanoparticle agglomeration acted as a detrimental stress concentrator and voids, particularly degrading the properties of the single-nanoparticle composites, where the elastic modulus decreased from 2.5 ± 0.6 GPa (neat) to an average of 1.1 ± 0.12 GPa for filler contents. In contrast, the dual GF-MWCNT hybrid consistently yielded superior mechanical and thermal properties compared to its individual GF and MWCNT counterparts, achieving performance levels comparable to those of the neat resin. This exceptional performance, particularly when mitigating the negative effects observed under quasi-static loading, demonstrates the significant potential of these carbon-carbon hybrid nanocomposites for future integration with continuous carbon fiber additive manufacturing techniques, paving the way for high-performance structural composites.

A dark blue substrate-free pearlescent pigment based on belt-like VO 2 (B) (6.2 μm × 680 nm) was successfully fabricated using a two-step hydrothermal synthesis. The resulting VO 2 (B) shows an impressive pearlescent effect, which is attributed to its belt-like morphology and smooth particle surface. Furthermore, VO 2 (B) exhibits good compatibility with the poly(methyl methacrylate) (PMMA) matrix. Even at a low concentration of 0.5 wt%, VO 2 (B) imparted a dark-blue coloration to the PMMA matrix. • Novel substrate-free pearlescent pigments based on VO 2 (B) were synthesized. • The synthesized VO 2 (B) exhibits a dark-blue color. • High gloss units and vivid iridescent colors characterize the VO 2 (B) pigments. • The pearlescent effect is attributed to the belt-like morphology and smooth surfaces. • The compatibility of VO 2 (B) with PMMA polymer was evaluated.

• Electron pulse radiolysis experiments and quantum chemical calculations clarified the dynamics of polystyrene derivative radical cations in 1,2-dichloroethane. • The radical cation of poly(4-methoxystyrene) has a characteristic lifetime ( t ₁/₂ = 680 μs), which is three orders of magnitude longer than that of polystyrene at 298 K. • The impact of substituent size on the multimer radical cations in the PS derivatives is shown.

Large language models (LLMs) can generate impressive data visualizations from simple requests, yet their accuracy remains underexplored. Here we present a benchmark of 293 coding tasks derived from 39 studies across 7 biomedical research areas, including biomarkers, integrative analysis, genomic profiling, molecular characterization, therapeutic response, translational research and pan-cancer analysis. Benchmarking eight proprietary and eight open-source LLMs under various prompting strategies reveals an overall accuracy below 40%. This low accuracy raises serious concerns about the risk of propagating incorrect scientific findings when blindly relying on AI-generated analyses. Therefore, we develop an AI agent that begins with and iteratively refines an analysis plan before generating code, achieving 74% accuracy. We embody this insight in a platform that enables users to codevelop analysis plans with LLMs and execute them within an integrated environment. In a user study with five medical researchers, the platform enabled users to complete over 80% of the analysis code for three studies.

Transparent organic electrochemical transistors(OECTs)offer low-voltage operation for energy savings and enable multimodal sensing(electrical, chemical, optical)for anomaly detection.However, transparent OECTs typically lack stretchability because they require opaque materials for electrodes, such as metal thin films.In this study, highly stretchable and transparent OECTs are fabricated using improved implementation techniques of nanomaterial-based wirings and semiconductors.Mechanical analysis with the Finite Element Method(FEM)indicates reduced stress concentration around channels in the OECTs, which supports the experimental results showing that OECTs withstand strains exceeding 100%.A transconductance of over 1 mS and a visible light transmittance exceeding 87% are obtained.Furthermore, a voltage amplifier is demonstrated using the developed OECTs.The transparent and stretchable OECTs can facilitate multimodal sensing in healthcare, potentially improving disease-prediction accuracy.

人生には何度か転機がある。

Q(t) measurement has been developed as a diagnostic technique for electrical insulators in DC applications, and is widely used to compare the relative properties of polymeric samples under high voltage; however, its conventional usage is limited to analyzing the charge amount compared to the space charge phenomenon. Conversely, Q(t) measurement can also serve as a diagnostic tool for leakage current through insulation materials because of its relatively high precision; hence, this study focuses on utilizing this method as an online abnormal detector. However, first, noisy data resulting from variable circumstances remains a challenge, even when simple low-pass filters are applied. This study ensures noise reduction by assuming an ordinary differential equation model and applying Kalman filters/Rauch–Tung–Striebel (RTS) smoothers to the experimental data of a polyimide sheet sample. Filtering/smoothing reduces the noise level to less than 1/900 of the simple first-difference data when an RTS smoother is applied, according to the comparison method that utilizes linearly-approximated data. Then, fixed-lag smoothers are applied, generally obtaining more smoothed data than that of the Kalman filter. Through the filtered results and Kalman filters’ property as an adaptive low-pass filter, a direction for filter designing is proposed, which depends on ‘process noise to the 2nd power’ / ‘observation noise.’ The filtering/evaluation/designing methods utilized in this study are beneficial for more precise diagnoses and are expected to provide a foundation for online leakage current detection.

<strong class="journal-contentHeaderColor">Abstract.</strong> Understanding spatially heterogeneous molecular diffusion in semicrystalline polymers is critical for elucidating interfacial dynamics in soft materials. This study employs static-gradient nuclear magnetic resonance (NMR) imaging to capture depth-resolved translational motion of polymer chains in a polytetrafluoroethylene (PTFE) film. By focusing on spin&ndash;spin relaxation behavior in amorphous regions near crystalline lamellae, we identify multiple diffusion regimes consistent with Bloch&ndash;Torrey analysis. The results reveal that molecular mobility at the substrate interface is significantly constrained, likely due to interfacial pinning, while the air-side surface shows signs of enhanced mobility. Our findings highlight the utility of static-field-gradient NMR for probing nanoscale dynamical heterogeneity in semicrystalline systems.