Materials Science · Cross-listed from physics.flu-dyn
Adhesive forces in droplet kinetic friction
Glen McHale, Sara Janahi, Hernán Barrio-Zhang et al. (+4 more)
Kinetic frictional forces resisting droplet motion often appear to be separate to surface wettability and adhesive forces. Here we show that such friction arises from a simple combination of the contact angle hysteresis and adhesive force. We show theoretically, and confirm using tilt angle experiments of droplets on
liquid-like surfaces, the dependence of the coefficient of droplet-on-solid kinetic friction on system parameters. We also show that a molecular kinetic-type model can describe the observed non-linear velocity-force relationship. Our findings provide a fundamental understanding of the relationship between droplet-on-solid friction, and wettability and
liquid adhesion.
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All authors Glen McHale, Sara Janahi, Hernán Barrio-Zhang, Yaofeng Wang, Jinju Chen, Gary G. Wells, Rodrigo Ledesma-Aguilar
Materials Science · Cross-listed from cond-mat.mes-hall
Rhine Samajdar, Haonan Zhou and R. N. Bhatt
High-
spin states hold significant promise for classical and
quantum information storage and emerging
magnetic memory technologies. Here, we present a systematic framework for engineering such high-
spin magnetic states in dopant clusters formed from substitutional
impurities in
semiconductors. In single-valley materials such as gallium arsenide,
impurity states are hydrogenic and exchange interactions generally favor low-
spin configurations, except in special geometries. In contrast, multivalley
semiconductors exhibit oscillatory form factors in their exchange couplings, enabling the controlled suppression of selected hopping processes and exchange couplings. Exploiting this feature, we demonstrate how carefully arranged
impurities in aluminum arsenide, germanium, and silicon can stabilize ground states with a net
spin that scale extensively with system size. Within effective mass theory and the tight-binding approximation for hopping, we construct explicit examples ranging from finite clusters to extended
lattices and fractal-like tilings. In two dimensions, we identify several favorable dopant geometries supporting a net
spin equal to around half of the fully polarized value in the thermodynamic limit, including one which achieves over $70\%$ polarization. Our results provide a general design principle for harnessing valley degeneracy in
semiconductors to construct robust high-
spin states and outline a pathway for their experimental realization via precision implantation of dopants.
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Materials Science
Strain Effects on Electronic Properties of Cobalt-Based Coordination Nanosheets
Kento Nishigomi, Yu Yi, Souren Adhikary et al. (+2 more)
We theoretically study the strain effects on the electronic properties of cobalt-based benzenehexathiol (CoBHT) coordination nanosheets using first-principles calculations. Two distinct
crystal structures, high-density structure (HDS) and low-density structure (LDS), are explored. Our results reveal that HDS behaves as a metal, while LDS exhibits semiconducting.
Spin-polarized electronic band structures highlight the presence of energy band structures of Kagome
lattice, and the inclusion of
spin-orbit coupling (SOC) results in band gap openings at high-symmetric K points. Furthermore, we construct the tight-binding model to investigate the topological properties of CoBHT, demonstrating anomalous
Hall conductivity driven by the intrinsic Berry
curvature. The impact of uniaxial strain on the electronic and
magnetic properties of CoBHT is also studied. Strain induces significant modifications in
magnetic moments and density of states, particularly in the HDS. Anomalous
Hall conductivity is enhanced under hole-doping conditions, suggesting that strain can be used to tailor the electronic properties of CoBHT for specific applications. Our findings underscore the potential of CoBHT nanosheets for use in next-generation electronic, optoelectronic, and catalytic devices with tunable properties through strain engineering.
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All authors Kento Nishigomi, Yu Yi, Souren Adhikary, Kazuhito Tsukagoshi, Katsunori Wakabayashi
Materials Science
Bloch Oscillations and Landau-Zener Transitions in Flat-Band Lattices with Quadratic and Linear Band Touchings
Chenhaoyue Wang, Carlos J. Garcia-Cervera and Amartya S. Banerjee
Bloch oscillations (BOs) describe the coherent oscillatory motion of electrons in a periodic
lattice under a constant external electric field. Deviations from pure harmonic wave packet motion or irregular Bloch oscillations can occur due to Zener tunneling (Landau-Zener Transitions or LZTs), with oscillation frequencies closely tied to interband coupling strengths. Motivated by the interplay between flat-band physics and interband coupling in generating irregular BOs, here we investigate these oscillations in Lieb and Kagome
lattices using two complementary approaches: coherent transport simulations and scattering
matrix analysis. In the presence of unavoidable band touchings, half-fundamental and fundamental BO frequencies are observed in Lieb and Kagome
lattices, respectively – a behavior directly linked to their distinct band structures. When avoided band touchings are introduced, distinct BO frequency responses to coupling parameters in each
lattice are observed. Scattering
matrix analysis reveals strong coupling and potential LZTs between dispersive bands and the flat band in Kagome
lattices, with the quadratic band touching enhancing interband interactions and resulting in BO dynamics that is distinct from systems with linear crossings. In contrast, the Lieb
lattice – a three level system – shows independent coupling between the flat band and two dispersive bands, without direct LZTs occurring between the two dispersive bands themselves. Finally, to obtain a unifying perspective on these results, we examine BOs during a strain-induced transition from Kagome to Lieb
lattices, and link the
evolution of irregular BO frequencies to changes in band connectivity and interband coupling.
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Materials Science · Cross-listed from cs.LG
Training Variation of Physically-Informed Deep Learning Models
Ashley Lenau, Dennis Dimiduk and Stephen R. Niezgoda
A successful deep learning network is highly dependent not only on the training
dataset, but the training
algorithm used to condition the network for a given task. The loss function,
dataset, and tuning of hyperparameters all play an essential role in training a network, yet there is not much discussion on the reliability or reproducibility of a training
algorithm. With the rise in popularity of physics-informed loss functions, this raises the question of how reliable one's loss function is in conditioning a network to enforce a particular boundary condition. Reporting the model variation is needed to assess a loss function's ability to consistently train a network to obey a given boundary condition, and provides a fairer comparison among different methods. In this work, a Pix2Pix network predicting the stress fields of high elastic contrast composites is used as a case study. Several different loss functions enforcing stress
equilibrium are implemented, with each displaying different levels of variation in convergence, accuracy, and enforcing stress
equilibrium across many training sessions. Suggested practices in reporting model variation are also shared.
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Materials Science · Cross-listed from physics.chem-ph
Mixed Stochastic-Deterministic Density Functional Theoretic Decomposition of Kubo-Greenwood Conductivities in the Projector Augmented Wave Formalism
Vidushi Sharma, Lee A. Collins and Alexander J. White
Pairing the accuracy of Kohn-Sham density-functional framework with the efficiency of a
stochastic algorithmic approach, mixed
stochastic-deterministic Density Functional Theory (mDFT) achieves a favorable computational scaling with system sizes and electronic temperatures. We employ the recently developed mDFT formalism to investigate the dynamic charge-transport properties of systems in the warm dense matter regime. The optical conductivity spectra are computed for single- and multi- component mixtures of carbon, hydrogen, and beryllium using two complementary approaches: Kubo-Greenwood in the mDFT picture and real-time Time-Dependent mDFT. We further devise a decomposition of the Onsager coefficients leading up to the Kubo-Greenwood spectra to exhibit contributions from the deterministic,
stochastic, and mixed electronic state transitions at different incident
photon energies.
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Materials Science
Sliding multiferroicity in hexagonal stacked CrI3
Carter Fox, Jose D. Mella, Jack Rollins et al. (+11 more)
Developing new multiferroics at the two-dimensional (2D) limit with energy-efficient magnetoelectric coupling can inform the interplay physics of novel orders and advance on-chip high-performance computing applications. Here we apply stacking order engineering to create a new type of 2D multiferroics, namely sliding multiferroics, based on polar hexagonal stacked (H-stacked) CrI3. This new stacking order removes structural inversion
symmetry and gives rise to room temperature sliding ferroelectricity, as confirmed by Raman spectroscopy, second harmonic generation spectroscopy and electrical transport measurements. Building upon the gate-dependent reflective
magnetic circular dichroism, first-principles calculations, and modeling, sliding ferroelectricity is shown to interplay with an emergent interfacial ferromagnetism via interlayer
spin-polarized charge transfer. This coupling mechanism results in non-volatile
magnetic switching by as low as 0.4V across the H-stacked CrI3. Our demonstration introduces polar stacking order engineering of 2D magnets as a general approach to create non-volatile 2D multiferroics with efficient magnetoelectric coupling, paving the way for low-power electronics and spintronics at the atomically thin limit.
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All authors Carter Fox, Jose D. Mella, Jack Rollins, Yangchen He, Yulu Mao, Haotian Jiang, Alaina Drew, Hongrui Ma, Takashi Taniguchi, Kenji Watanabe, Ying Wang, Daniel Rhodes, Salvador Barraza-Lopez, Jun Xiao
Materials Science · Cross-listed from cond-mat.soft
Heterogeneous dynamics in a polymer solution revealed through measurement of ultraslow convection
Thomas P. Chaney, Samuel D. Marks, Dylan M. Ladd et al. (+9 more)
Understanding solution-phase aggregation and dynamics in complex fluids is critical for material processing, yet widely used dynamic light scattering (DLS) fails for strongly attenuating systems such as conjugated
polymers. We use X-ray
photon correlation spectroscopy (XPCS) to probe the dynamics of a
polymer, PM7, in toluene, revealing unexpected oscillations in the autocorrelation function that show vertical flow during measurement. Despite the relatively low X-ray absorption, measured flow velocities scale with X-ray beam power and suggest convective transport. Our analyses reveal both mobile and static scatterers that together produce oscillatory, heterodyne features in the measured correlation functions. Finite element simulations predict flow velocities much larger than observed, suggesting that entanglements of the aggregates slow their motion. These results provide a direct measurement of ultra-slow convection and highlight the need to explicitly account for even modest beam heating in interpreting XPCS results. Moreover, the observation of distinct scatterer populations underscores the structural complexity of conjugated
polymer solutions.
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All authors Thomas P. Chaney, Samuel D. Marks, Dylan M. Ladd, Andrei Fluerasu, Federico Zontone, Yuriy Chushkin, Sebastian Frücht, Dina Sheyfer, Kelsey Levine, Amnahir E. Peña-Alcántara, Hans-Georg Steinrück, Michael F. Toney
Materials Science
Thermal assisted transport of biexcitons in monolayer WSe2
Dorian Béret, Louka Hemmen, Vishwas Jindal et al. (+9 more)
Studies of excitonic transport in transition metal dichalcogenide monolayers have attracted increasing interest in recent years in order to develop nano-optoelectronic devices made with 2D materials. These studies began with low to moderate optical excitation regimes, and more recently have focused on high injection regimes where nonlinear effects appear. This article is focused on the transport of biexcitons by spatially and temporally resolved photoluminescence spectroscopy at high excitation flux. The study is carried out on a high-quality WSe$_2$ monolayer encapsulated in hexagonal boron nitride. The results show that a Seebeck current affects transport in connection with the presence of hot biexcitons. In particular, we observe the formation of spatial rings, also called
halos, which have been observed in other excitonic gases. These results tend to generalize the importance of high-energy populations in excitonic transport in TMD, even for complex and heavy excitonic particles.
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All authors Dorian Béret, Louka Hemmen, Vishwas Jindal, Sreyan Raha, Thierry Amand, Delphine Lagarde, Andrea Balocchi, Cédric Robert, Helene Carrere, Xavier Marie, Pierre Renucci, Laurent Lombez
Materials Science
Electrically modulated light-emitting diodes driven by resonant and antiresonant tunneling between Cr$_2$Ge$_2$Te$_6$ electrodes
Natalia Zawadzka, Kristina Vaklinova, Tomasz Woźniak et al. (+7 more)
Exploring the electron tunneling mechanisms in diverse materials systems constitutes a versatile strategy for tailoring the properties of optoelectronic devices. In this domain, bipolar vertical tunneling junctions composed of van der Waals materials with vastly different electronic band structures enable simultaneous injection of electrons and holes into an optically active material, providing a universal blueprint for light-emitting diodes (LEDs). Efficient modulation of the injection efficiency has previously been demonstrated by creating resonant states within the energy barrier formed by the luminescent material. Here, we present an alternative approach towards resonant tunneling conditions by fabricating tunneling junctions composed entirely from gapped materials: Cr$_2$Ge$_2$Te$_6$ as electrodes, hBN as a tunneling barrier, and monolayer WSe$_2$ as a luminescent medium. The characterization of such LEDs revealed a nonmonotonous
evolution of the electroluminescence intensity with the tunneling bias. The dominant role driving the characteristics of the electron tunneling was associated with the relative
alignment of the density of states in Cr$_2$Ge$_2$Te$_6$ electrodes. The unique device architecture introduced here presents a universal pathway towards LEDs operating at room temperature with electrically modulated emission intensity.
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All authors Natalia Zawadzka, Kristina Vaklinova, Tomasz Woźniak, Mihai I. Sturza, Holger Kohlmann, Kenji Watanabe, Takashi Taniguchi, Adam Babiński, Maciej Koperski, Maciej R. Molas
Materials Science
Structural Chirality and Natural Optical Activity across the $\alpha$-to-$\beta$ Phase Transition in SiO$_2$ and AlPO$_4$ from first-principles
F. Gómez-Ortiz, A. Zabalo, A. M. Glazer et al. (+3 more)
Natural optical activity (NOA), the ability of a material to rotate the plane of polarized light, has traditionally been associated with structural chirality. However, this relationship has often been oversimplified, leading to conceptual misunderstandings, particularly when attempts are made to directly correlate structural handedness with optical rotatory power. In reality, the relationship between chirality and NOA is more nuanced: optical activity can arise in both
chiral and achiral
crystal structures, and the sign of the rotation cannot necessarily be inferred from the handedness of the space group. % In this work, we conduct a first-principles investigation of natural optical activity in SiO$_2$ and AlPO$_4$
crystals, focusing on their enantiomorphic structural phase transition from high-
symmetry hexagonal ($P6_422$ or $P6_222$) to low-
symmetry trigonal ($P3_121$ or $P3_221$) space groups. This transition, driven by the condensation of a zone-center $\Gamma_3$
phonon mode, reverses the screw axis type given by the space group symbol while leaving the sign of the optical activity unchanged. By following the
evolution of the structure and the optical response along the transition pathway, we clarify the microscopic origin of this behavior. We demonstrate that the sense of optical rotation is determined not by the nominal helicity of the screw axis given in the space group symbol, but by the atomic-scale helicity of the most polarizable atoms of the structure.
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All authors F. Gómez-Ortiz, A. Zabalo, A. M. Glazer, E. E. McCabe, A. H. Romero, E. Bousquet
Materials Science
Subthermal Mean Transverse Energies Induced by Electron Refraction on the Jump in Mass at the Surface of Multialkali Photocathodes
S.A. Rozhkov, V.V. Bakin, H.E. Scheibler et al. (+6 more)
The search for photocathode materials with low mean transverse energies (MTEs) and, hence, low intrinsic emittance is of crucial importance for various fields of particle and solid state physics. Here, we demonstrate that polycrystalline multialkali Na$_{2}$KSb(Cs,Sb) photocathodes with negative effective electron affinity (NEA) have MTE values at room temperature by a factor of 2 lower than those of monocrystalline p-GaAs(Cs,O) photocathodes. These low MTE values are due to the electron refraction on the jump in mass, between a small effective mass in Na$_{2}$KSb and free electron mass in
vacuum. It is proved that, at the NEA state, up to half of photoelectrons are emitted in a narrow-angle cone with the fractional MTE of 9\,meV at room temperature. We also showed that the transition from NEA to positive effective affinity results in the subthermal total MTE of the Na$_{2}$KSb(Cs,Sb) photocathode, along with
quantum efficiency of about 10$^{-2}$. The physical reasons for the manifestation of the refraction effect in multialkali photocathodes are discussed, opening up opportunities for the development of high-brightness and ultracold robust electron sources.
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All authors S.A. Rozhkov, V.V. Bakin, H.E. Scheibler, V.S. Rusetsky, D.V. Gorshkov, D.A. Kustov, V.A. Golyashov, V.L. Alperovich, O. E. Tereshchenko
Materials Science
Redox Chemistry of LiCoO$_2$, LiNiO$_2$, and LiNi$_{1/3}$Mn$_{1/3}$Co$_{1/3}$O$_2$ Cathodes: Deduced via XPS, DFT+DMFT, and Charge Transfer Multiplet Simulations
Ruiwen Xie, Maximilian Mellin, Wolfram Jaegermann et al. (+3 more)
Understanding the
evolution of the physicochemical bulk properties during the Li deintercalation (charging) process is critical for optimizing battery cathode materials. In this study, we combine X-ray photoelectron spectroscopy (XPS), density functional theory plus dynamical mean-field theory (DFT+DMFT) calculations, and charge transfer multiplet (CTM) model simulations to investigate how hybridization between transition metal (TM) 3d and oxygen 2p orbitals evolves with Li deintercalation. Based on the presented approach combining theoretical calculations and experimental studies of pristine and deintercalated cathodes, two important problems of ion batteries can be addressed: i) the detailed electronic structure and involved changes with deintercalation providing information of the charge compensation mechanism, and ii) the precise experimental analysis of XPS data which are dominated by charge transfer coupled to final-state effects affecting the satellite structure. As main result for the investigated Li TM
oxides, it can be concluded that the electron transfer coupled to the Li$^{+}$-ion migration does not follow a rigid band model but is modified due to changes in TM 3d and O 2p states hybridization. Furthermore, this integrated approach identifies the 2p XPS satellite peak intensity of TM as an effective indicator of the redox chemistry. With that the redox chemistry of cathodes can be deduced, thus offering a foundation for designing more efficient battery materials.
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All authors Ruiwen Xie, Maximilian Mellin, Wolfram Jaegermann, Jan P. Hofmann, Frank M. F. de Groot, Hongbin Zhang
Materials Science
A physics-informed neural network approach to the point defect model for electrochemical oxide film growth
Mohid Farooqi, Ingmar Bösing and Conrard G. Tetsassi Feugmo
Physics-informed neural networks (PINNs) offer a novel AI-driven framework for integrating physical laws directly into neural network models, facilitating the solution of complex multiphysics problems in materials engineering. This study systematically explores the application of PINNs to simulate
oxide film layer growth in halide-free solutions using the point defect model (PDM). We identify and analyze four key failure modes in this context: imbalanced loss components across different physical processes, numerical instabilities due to variable scale disparities, challenges in enforcing boundary conditions within multiphysics systems, and convergence to mathematically valid but physically meaningless solutions. To overcome these challenges, we implement and validate established techniques including nondimensionalization for training stabilization, Neural Tangent Kernel-based adaptive loss balancing, robust enforcement of boundary conditions and hybrid training with sparse data. Our results demonstrate the effectiveness of these strategies in enhancing the reliability and physical fidelity of PINNs, achieving sub $1\%$ relative error as compared to Finite Element
Benchmarks with the hybrid model. Thereby showing that PINNs can be used for high fidelity electrochemical simulations with minimal data requirements and highlight necesary factors for fully autonomous PINN simulations.
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Materials Science
Photovoltaic Performance of a Rotationally Faulted Multilayer Graphene/n-Si Schottky Junction
Hojun Im and Masahiro Teraoka
We report the fabrication and photovoltaic performance of a rotationally faulted multilayer
graphene (rf-MLG)/n-Si Schottky junction device. A thickness-controlled rf-MLG is synthesized using a 5 {\mu}m Ni foil catalyst via the chemical vapor deposition method and transferred to the n-Si substrate via a
polymer-free process, enabling facile and cost-effective fabrication. The device demonstrates an ideality factor of 1.67, a rectification factor of approximately 4x10^5 at {\pm}1.0 V, and a Schottky barrier height of 0.83 eV. A strong linear relationship between light intensity and photocurrent is also observed. Furthermore, the device exhibits a peak external
quantum efficiency of ~26% at 540 nm and a peak internal
quantum efficiency of ~97% at 410 nm. Transient photocurrent and photovoltaic measurements show approximately one-microsecond extraction and several-millisecond recombination times, respectively, revealing effective charge collection for photovoltaic applications. These results indicate that the rf-MLG/n-Si Schottky junction is well-formed and achieves performance comparable to that of SLG devices, demonstrating its potential for optoelectronic applications.
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Materials Science · Cross-listed from cond-mat.mes-hall
Magnetocaloric effect for the altermagnetic candidate MnTe
N.N. Orlova, V.D. Esin, A.V. Timonina et al. (+2 more)
We experimentally investigate magnetocaloric effect for single
crystals of MnTe altermagnet at the transition to the state with spontaneous
spin polarization, i.e. well below the Néel temperature of MnTe. The isothermal
magnetic entropy change $\Delta S$ is calculated from the experimental magnetization curves by using Maxwell relation. We observe well-defined magnetocaloric effect as a narrow $\Delta S$ peak around the cricital temperature $T_c\approx 81$~K, which is accompanied by sharp magnetization jump. This behavior is unusual for standard
ferromagnetic transitions, so it confirms the predicted
spin-orbit-induced
spin polarization in the MnTe altermagnetic state.
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All authors N.N. Orlova, V.D. Esin, A.V. Timonina, N.N. Kolesnikov, E.V. Deviatov
Materials Science
Kolmogorov-Arnold Networks in Thermoelectric Materials Design
Marco Fronzi, Michael J. Ford, Kamal Singh Nayal et al. (+2 more)
The discovery of high-performance thermoelectric materials requires models that are both accurate and interpretable. Traditional machine learning approaches, while effective at property prediction, often act as black boxes and provide limited physical insight. In this work, we introduce Kolmogorov–Arnold Networks (KANs) for the prediction of thermoelectric properties, focusing on the Seebeck coefficient and band gap. Compared to multilayer perceptrons (MLPs), KANs achieve comparable predictive accuracy while offering explicit symbolic representations of structure–property relationships. This dual capability enables both reliable predictions and the extraction of physically meaningful functional forms. Benchmarking against literature models further highlights the robustness and generalisability of the approach. Our findings demonstrate that KANs provide a powerful framework for reverse engineering materials with targeted thermoelectric properties, bridging the gap between predictive performance and scientific interpretability.
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All authors Marco Fronzi, Michael J. Ford, Kamal Singh Nayal, Olexandr Isayev, Catherine Stampfl
Materials Science · Cross-listed from cond-mat.mes-hall
Ginzburg-Landau theory of spin pumping through an antiferromagnetic layer near the Néel temperature
Yuto Furutani, Hayato Fukushima, Yutaka Yamamoto et al. (+2 more)
Spin pumping is a microwave-driven means for injecting
spins from a ferromagnet into the adjacent target material. The insertion of a thin
antiferromagnetic layer between the ferromagnet and the target material is known to enhance the
spin pumping signal. Here, in view of describing dynamic fluctuations of the Néel order parameter, we develop Ginzburg-Landau theory of the
spin pumping in a ferromagnet/antiferromagnet/heavy metal trilayer in the vicinity of the
antiferromagnetic Néel temperature $T_{\rm N}$. When there exists an interfacial exchange interaction between the
ferromagnetic spins and the
antiferromagnetic Néel order parameter at the ferromagnet/antiferromagnet interface, we find a strongly frequency-dependent enhancement of the pumped
spin current that is peaked at $T_{\rm N}$. The present finding offers an explanation for the enhanced
spin pumping with strong frequency dependence observed in a Y$_3$Fe$_5$O$_{12}$/CoO/Pt system.
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All authors Yuto Furutani, Hayato Fukushima, Yutaka Yamamoto, Masanori Ichioka, Hiroto Adachi