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Charge transfer between two conductors is conventionally viewed as a single-particle process governed by electrostatics and band alignment. Using tunneling spectroscopy, we show that charge transfer in closely spaced graphene double layer quantum Hall ferromagnets instead proceeds through a sequenc…
Dynamic mechanical analysis is widely used to characterize viscoelastic materials, yet the physical origin of the measured phase shift remains only partially understood for structurally extended specimens. Its standard interpretation typically assumes a single, effective phase shift between applied…
Biomass pyrolysis serves as a pivotal process in the high-value utilization of biomass wastes, transforming low-value wastes into valuable products. Understanding the kinetics and thermodynamics of pyrolysis is fundamental to elucidating reaction mechanisms, optimizing process parameters, and desig…
Theoretical work predicts that Josephson junctions containing metallic altermagnetic barriers should display $0$-$π$ transitions of the critical current as a function of both barrier thickness and temperature, with the decay and oscillation period of the supercurrent depending on the orientation of…
As AI agents increasingly participate in scientific workflows, scientists are shifting from direct authorship toward oversight, inspection, and steering. LLM-driven visualization systems are a promising interface for this hand-off, yet they remain largely stateless, forcing users to reconstruct con…
At cryogenic temperatures, phonons become one of the dominant energy carriers and thus can strongly influence the performance of electronic and sensing devices. In this work, we present a wave-mechanics based framework that predicts phonon transmission and thermal resistance of arbitrarily thick su…
A comparative analysis of inspection results for underground crude oil transmission pipelines was conducted using two diagnostic methods: Metal Magnetic Memory Non-Contact Magnetic Diagnostic (MMM-NCMD) and ultrasonic inline inspection tools (ILI). The results demonstrate that both methods provide…
Machine learning (ML) is accelerating the advancement of additive manufacturing (AM) into an intelligent, autonomous technology, spanning basic process optimization to specialized biomedical implant fabrication. Based on a systematic literature review encompassing 103 screened studies from 2014 to…
Machine-learned exchange-correlation functionals correct band gaps at near-semilocal cost, while density-functional tight binding reaches the $10^3$-$10^6$-atom regime; combining them assumes that a better parent yields a better parameterization, but we show it does not. Current-generation function…
We study the hydrodynamic behaviour of a mesoscale numerical model for wetting dynamics based on the immersed boundary-lattice Boltzmann (IBLB) method. This IBLB model features a wetting potential to capture the interaction between a non-ideal droplet interface and a solid boundary; it is designed…
Paving block is a cement-based material produced through the compaction of a mixture of constituent materials, with or without the addition of additives. Paving block has a brittle characteristic, making it stronger in resisting compressive loads compared to tensile or flexural loads, which causes…
The glass transition temperature ($T_{g}$) of alkali borate glasses is strongly composition-dependent and difficult to predict from first principles due to the structural complexity of the boron network. Here, we apply physics-informed symbolic regression (combining evolutive search with physically…
Nanostructures exhibit extraordinary properties, but their full potential is realized only through precise engineering of their surfaces and interfaces. This chapter explores the functionalization of two-dimensional transition metal dichalcogenides (MoS, WS, MoSe, etc.), metal oxide nanoparticles (…
The standard Mott formula is widely used to describe thermoelectric transport, but it becomes less accurate when the temperature is not much smaller than the Fermi energy. In this work, we develop an all-orders extension of the Mott approach using a series of Riemann zeta functions. We show that wh…
We investigate the third-harmonic response of platinum ditelluride (PtTe2), a Dirac semimetal belonging to the transition metal dichalcogenide class. Due to its topological properties, this material has drawn a lot of attention, particularly because it hosts type-II (supercritically tilted) Dirac f…
ESPResSo++ is an open-source software package for molecular dynamics (MD) simulations with a particular emphasis on coarse-grained (CG) models of soft matter systems. Written in C++ with a flexible Python interface, it is designed for high-performance computing (HPC) environments and supports massi…
Smart materials such as shape memory alloys offer innovative solutions in industry, based on their main characteristic of returning to their initial shape after deformation, in response to a temperature difference. When SMAs are combined with other materials, they give rise to the formation of smar…
Abstract Intelligent mid-infrared (MIR) imaging integrates in-sensor preprocessing of thermal information, thereby reducing data redundancy and improving target-recognition robustness under low-visibility conditions. However, unlike in the visible regime, photoconductive programmability in the MIR…
Nonadiabatic effects determine the frequency and linewidth of coupled phonon modes, shape of Kohn anomalies and have important implications on many material properties. State-of-the-art ab-initio nonadiabatic phonon self-energy relies on an infinite electron lifetime approximation, which cannot cap…