Tootfinder

Unraveling Quantum Size-Dependent Optoelectrical Phenomena in Hot Carrier Quantum Well Structures
Nil Selen Aydin, Leopold Rothmayer, Nabi Isaev, Pavel Avdienko, Nori N. Chavira Leal, Kai M\"uller, Jonathan J. Finley, Gregor Koblm\"uller, Hamidreza Esmaielpour
https://arxiv.org/abs/2507.04112

Unraveling Quantum Size-Dependent Optoelectrical Phenomena in Hot Carrier Quantum Well Structures
The enhancement of power conversion efficiency beyond the theoretical limit of single-junction solar cells is a key objective in the advancement of hot carrier solar cells. Recent findings indicate that quantum wells (QWs) can effectively generate hot carriers by confining charged carriers within their potential wells and by optimizing material properties. Here, we investigate the impact of quantum confinement on the thermodynamic properties of photogenerated hot carriers in p-i-n InGaAs/InAlAs…

A modified Levenberg-Marquardt method for estimating the elastic material parameters of polymer waveguides using residuals between autocorrelated frequency responses
Dominik Itner, Dmitrij Dreiling, Hauke Gravenkamp, Bernd Henning, Carolin Birk
https://arxiv.org/abs/2507.01706

A modified Levenberg-Marquardt method for estimating the elastic material parameters of polymer waveguides using residuals between autocorrelated frequency responses
In this contribution, we address the estimation of the frequency-dependent elastic parameters of polymers in the ultrasound range, which is formulated as an inverse problem. This inverse problem is implemented as a nonlinear regression-type optimization problem, in which the simulation signals are fitted to the measurement signals. These signals consist of displacement responses in waveguides, focusing on hollow cylindrical geometries to enhance the simulation efficiency. To accelerate the opti…

Additive Manufacturing of PEEK/Lunar Regolith Composites for Sustainable Lunar Manufacturing
Mohammad Azami, Pierre-Lucas Aubin-Fournier, Mehdi Hojjati, Krzysztof Skonieczny
https://arxiv.org/abs/2508.00894

Additive Manufacturing of PEEK/Lunar Regolith Composites for Sustainable Lunar Manufacturing
As humanity advances toward long-term lunar presence under NASA's Artemis program, the development of lunar-based manufacturing and construction (LBMC) capabilities has become increasingly critical. The high cost of transporting materials from Earth makes in-situ resource utilization (ISRU) essential, with lunar regolith serving as a promising local feedstock. Additive manufacturing (AM) offers a compelling platform for LBMC due to its geometric flexibility, material efficiency, and capacity fo…

Petri Net Modeling and Deadlock-Free Scheduling of Attachable Heterogeneous AGV Systems
Boyu Li, Zhengchen Li, Weimin Wu, Mengchu Zhou
https://arxiv.org/abs/2508.00724 https://

Petri Net Modeling and Deadlock-Free Scheduling of Attachable Heterogeneous AGV Systems
The increasing demand for automation and flexibility drives the widespread adoption of heterogeneous automated guided vehicles (AGVs). This work intends to investigate a new scheduling problem in a material transportation system consisting of attachable heterogeneous AGVs, namely carriers and shuttles. They can flexibly attach to and detach from each other to cooperatively execute complex transportation tasks. While such collaboration enhances operational efficiency, the attachment-induced sync…

Constructing material network representations for intelligent amorphous alloys design
S. -Y. Zhang, J. Tian, S. -L. Liu, H. -M. Zhang, H. -Y. Bai, Y. -C. Hu, W. -H. Wang
https://arxiv.org/abs/2507.16336

Constructing material network representations for intelligent amorphous alloys design
Designing high-performance amorphous alloys is demanding for various applications. But this process intensively relies on empirical laws and unlimited attempts. The high-cost and low-efficiency nature of the traditional strategies prevents effective sampling in the enormous material space. Here, we propose material networks to accelerate the discovery of binary and ternary amorphous alloys. The network topologies reveal hidden material candidates that were obscured by traditional tabular data r…

This https://arxiv.org/abs/2504.13883 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Hybrid Deep Learning Model to Estimate Cognitive Effort from fNIRS Signals in Educational Game Playing
This study estimates cognitive effort (CE) based on functional near-infrared spectroscopy (fNIRS) data and performance scores using a hybrid deep learning model. The estimation of CE enables educators to modify material to enhance learning effectiveness and student engagement. Relative neural efficiency (RNE) and relative neural involvement (RNI) are two metrics that have been used to represent CE. To estimate RNE and RNI we need hemodynamic response in the brain and the performance score of a …

Experimental and simulative study on laser irradiation of 3D-printed micro-structures at intensities relevant for inertial confinement fusion
M. Cipriani, F. Consoli, M. Scisci\`o, A. Solovjovas, I. A. Petsi, M. Malinauskas, P. Andreoli, G. Cristofari, E. Di Ferdinando, G. Di Giorgio
https://arxiv.org/abs/2506.04017

Experimental and simulative study on laser irradiation of 3D-printed micro-structures at intensities relevant for inertial confinement fusion
Inertial confinement fusion requires a constant search for the most effective materials for improving the efficiency of the compression of the capsule and of the laser-to-target energy transfer. Foams could provide a solution to these problems, but they require further experimental and theoretical investigation. The new 3D-printing technologies, such as the two-photon polymerization, are opening a new era in the production of foams, allowing for the fine control of the material morphology. Deta…

Shaping Ultrafast Pulses for Enhanced Resonant Nonlinear Interactions
Omri Meron, Snir Nehemia, Uri Arieli, Haim Suchowski
https://arxiv.org/abs/2507.00568

Shaping Ultrafast Pulses for Enhanced Resonant Nonlinear Interactions
Coherent control with shaped ultrafast pulses is a powerful approach for steering nonlinear light-matter interactions. Previous studies in quantum control have shown that, beyond transform-limited pulses, those with antisymmetric spectral phases can drive nonresonant multiphoton transitions with comparable efficiency. However, in resonant multiphoton transitions, the material's spectral-phase response introduces dispersion that degrades nonlinear efficiency. Pre-shaping the pulse to compensate …

Integrated phononic waveguide on thin-film lithium niobate on diamond
Sultan Malik, Felix M. Mayor, Wentao Jiang, Hyunseok Oh, Carl Padgett, Viraj Dharod, Jayameenakshi Venkatraman, Ania C. Bleszynski Jayich, Amir H. Safavi-Naeini
https://arxiv.org/abs/2505.23100

Integrated phononic waveguide on thin-film lithium niobate on diamond
We demonstrate wavelength-scale phononic waveguides formed by transfer-printed thin-film lithium niobate (LN) on bulk diamond (LNOD), a material stack that combines the strong piezoelectricity of LN with the high acoustic velocity and color-center compatibility of diamond. We characterize a delay line based on a 100 micron long phononic waveguide at room and cryogenic temperatures. The total insertion loss through the device at 4 kelvin is -5.8 dB, corresponding to a >50% transducer efficiency,…

Laser-Synthesized Amorphous PdSe$_{\mathrm{2-x}}$ Nanoparticles: A Defect-Rich Platform for High-Efficiency SERS, Photocatalysis, and Photothermal Conversion
Andrei Ushkov, Nadezhda Belozerova, Dmitriy Dyubo, Ilya Martynov, Alexander Syuy, Daniil Tselikov, Georgy Ermolaev, Sergey V. Bazhenov, Roman I. Romanov, Ivan Kruglov, Anton A. Popov, Alexander Chernov, Alexey D. Bolshakov, Sergey Novikov, Andrey A. Vyshnevyy, Aleksey Arsenin, Andrei V. Kabashin, Gleb I. Tselikov, Valentyn Volkov

Laser-Synthesized Amorphous PdSe$_{\mathrm{2-x}}$ Nanoparticles: A Defect-Rich Platform for High-Efficiency SERS, Photocatalysis, and Photothermal Conversion
The control of material properties at the atomic scale remains a central challenge in materials science. Transition metal dichalcogenides (TMDCs) offer remarkable electronic and optical properties, but their functionality is largely dictated by their stable crystalline phases. Here we demonstrate a single-step, ligand-free strategy using femtosecond laser ablation in liquid to transform crystalline, stoichiometric palladium diselenide (PdSe$_{\mathrm{2}}$) into highly stable, amorphous, and non…

Chemical Space of Molecular Nanomotors: Optimizing Photochemical Properties for One- and Two-photon Applications
Alexander Mielke, Alexander Scrimgeour, Enrico Tapavicza
https://arxiv.org/abs/2507.20328

Chemical Space of Molecular Nanomotors: Optimizing Photochemical Properties for One- and Two-photon Applications
Light-driven molecular nanomotors hold promise for applications in material science and biomedicine. Significant efforts have focused on improving their efficiency, often targeting single candidate molecules. Here, we present a systematic data-driven approach to design nanomotors with high isomerization quantum yields for one- and two-photon applications, the latter being critical for biomedical applications requiring near-infrared light. We analyze the excited state properties of a dataset of …

Discretely structured magnetic flux concentrators
Yujun Shi, Xiaoting Feng
https://arxiv.org/abs/2506.01424 https://arxiv.org/pdf/250…

Discretely structured magnetic flux concentrators
Conventional magnetic flux concentrators (MFCs) are typically designed with solid structures, which may not be optimal for applications requiring lightweight design or material efficiency. In this study, we investigate the feasibility of spatially discretized MFCs in guiding and concentrating magnetic flux, through finite element simulations. Our results demonstrate that discretely structured MFCs can achieve performance comparable to that of solid counterparts while significantly reducing mate…

Ultrafast photocurrent detection reveals that device efficiency is dominated by ultrafast exciton dissociation not exciton diffusion
Zachary M. Faitz, Chris J. Blackwell, Dasol Im, Abitha Dhavamani, Michael Arnold, Martin T. Zanni
https://arxiv.org/abs/2506.21402

Ultrafast photocurrent detection reveals that device efficiency is dominated by ultrafast exciton dissociation not exciton diffusion
Excitons diffusing to a charge-separating interface is a necessary step to convert energy into current in next-generation photovoltaics. In this report, made possible by a new ultrafast spectrometer design, we compare exciton dynamics measured using both photoabsorption- and photocurrent-detected transient and 2D spectroscopies. For a device with semiconducting carbon nanotubes as the exciton transport material, we find that photoabsorption detection greatly overestimates the importance of long…

Boosting Photodetection via Plasmonic Coupling in Quasi-2D Mixed-n Ruddlesden-Popper Perovskite Nanostripes
Brindhu Malani S, Eugen Klein, Ronja Maria Piehler, Rostyslav Lesyuk, Christian Klinke
https://arxiv.org/abs/2507.23727

Boosting Photodetection via Plasmonic Coupling in Quasi-2D Mixed-n Ruddlesden-Popper Perovskite Nanostripes
Quasi-2D metal halide perovskites have emerged as a promising material for photodetection due to excellent optoelectronic properties, simple synthesis, and robust stability. Albeit, developing high-performance photodetectors based on low-dimensional quasi-2D metal halide perovskite nanoparticles remains challenging due to quantum and dielectric confinement effects. Several approaches have been employed to improve efficiency, with plasmonic nanostructures being among the most effective ones. The…

Dual-Material Double-Gate Source-Pocket Tunnel Field Effect Transistor with Homogeneous Gate Dielectric: Computational Analysis of Structural and Material Parameters for Enhanced Performance
Ramisa Fariha, Saikat Das, Labiba Tanjil Nida, Abeer Khan, Md Tashfiq Bin Kashem
https://arxiv.org/abs/2506.08556

Dual-Material Double-Gate Source-Pocket Tunnel Field Effect Transistor with Homogeneous Gate Dielectric: Computational Analysis of Structural and Material Parameters for Enhanced Performance
Dual-material double-gate tunnel field effect transistor (DMDG TFET) is a promising candidate for low-power, high-speed electronics due to enhanced electrostatic control and superior switching characteristics. Integrating a pocket region between the source and channel-doped oppositely to the source-further improves tunneling efficiency by modulating the electric field at the tunneling junction. This combined architecture, termed the DMDG source-pocket TFET (DMDG-SP TFET), achieves higher ON cur…

AI, AGI, and learning efficiency
My 4-month-old kid is not DDoSing Wikipedia right now, nor will they ever do so before learning to speak, read, or write. Their entire "training corpus" will not top even 100 million "tokens" before they can speak & understand language, and do so with real intentionally.
Just to emphasize that point: 100 words-per-minute times 60 minutes-per-hour times 12 hours-per-day times 365 days-per-year times 4 years is a mere 105,120,000 words. That's a ludicrously *high* estimate of words-per-minute and hours-per-day, and 4 years old (the age of my other kid) is well after basic speech capabilities are developed in many children, etc. More likely the available "training data" is at least 1 or 2 orders of magnitude less than this.
The point here is that large language models, trained as they are on multiple *billions* of tokens, are not developing their behavioral capabilities in a way that's remotely similar to humans, even if you believe those capabilities are similar (they are by certain very biased ways of measurement; they very much aren't by others). This idea that humans must be naturally good at acquiring language is an old one (see e.g. #AI #LLM #AGI

Broadband Tunable Deep-UV Emission from AI-Optimized Nonlinear Metasurface Architectures
Omar A. M. Abdelraouf
https://arxiv.org/abs/2506.10442 https://

Broadband Tunable Deep-UV Emission from AI-Optimized Nonlinear Metasurface Architectures
Metasurfaces represent a pivotal advancement in nonlinear optics, leveraging high-Q resonant cavities to enhance harmonic generation. Multi-layer metasurfaces (MLMs) further amplify this potential by intensifying light-matter interactions within individual meta-atoms at the nanoscale. However, maximizing nonlinear efficiency demands extreme field confinement through optimized designs of large geometric and material parameters, which exceed traditional simulation's computational ability. To over…

Sb2S3 and GaAs Absorber Layer-based Quantum Dot Solar Cells with Cadmium Telluride-based HTL: A Comparative Study
Sayak Banerjee (Department of Physics, Indian Institute of Technology, Jodhpur, Rajasthan, India-342037, Department of Metallurgical and Materials Engineering, Indian Institute of Technology, Jodhpur, Rajasthan, India), Anupam Chetia (Department of Physics, Indian Institute of Technology, Jodhpur, Rajasthan, India-342037), Satyajit Sahu (Department of Physics, Indian Instit…

Sb2S3 and GaAs Absorber Layer-based Quantum Dot Solar Cells with Cadmium Telluride-based HTL: A Comparative Study
Quantum dot solar cells (QDSC) are widely acknowledged to be one of the best solar energy harvesting devices in the present world. Absorber layer is a core component of a QDSC with a strong influence on its operational efficiency. Hence, we choose to undertake a comparative study of two QDSC having different QD absorber layers: Sb2S3 and GaAs with the motive to identify the better absorber layer material. The numerical analysis has been carried out using SCAPS-1D (Solar Cell Capacitance Simulat…

Barium Calcium Zirconium Titanate Thin Film-Based Capacitive Thermoelectric Converter for Low-Grade Waste Heat
Mohammad K. Al Thehaiban, Vladimir S. Getov, Qiaomu Yao, Chukwudike C. Ukeje, Peter K. Petrov
https://arxiv.org/abs/2506.10759

Barium Calcium Zirconium Titanate Thin Film-Based Capacitive Thermoelectric Converter for Low-Grade Waste Heat
A capacitive thermoelectric device can harvest thermal energy and convert it to electrical energy by employing a temperature-dependent dielectric material whose permittivity sharply changes with temperature. Electricity can be generated by fluctuating the temperature of the capacitor. Currently, capacitive thermoelectric devices are not broadly used, which can be attributed to the low efficiency of the existing solutions, the lack of dielectric materials with suitable temperature non-linearity …