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Huimin Tang

Publications and source records attributed to Huimin Tang.

4 recordsLinked to original sources

Ab initio Phase Diagram of Ta2O5

Tantalum pentoxide (Ta2O5) is a polymorphic wide-bandgap semiconductor with outstanding dielectric properties and widespread use in optical and electronic technologies. Its rich structural diversity, arising from multiple polymorphs accessible under different synthesis conditions, has made Ta2O5 a long-standing subject of interest. However, a unified understanding of the thermodynamic stability and phase transitions of its polymorphs across pressure-temperature (P-T) space has remained elusive. Here, using first-principles calculations, we map the thermodynamic landscape of Ta2O5 and establish a comprehensive P-T phase diagram together with a phase-stability hierarchy. We find that Gamma-Ta2O5 and B-Ta2O5 dominate the phase diagram over a broad range of P-T conditions: Gamma-Ta2O5 is stabilized at low pressures, while B-Ta2O5 becomes thermodynamically favored at higher pressures up to ~ 60 GPa, beyond which Y-Ta2O5 emerges as the most stable phase. Crucially, the zero-point energy (ZPE), one aspect of nuclear quantum effects (NQEs), plays a significant role in determining relative phase stability, contributing substantially to the Gibbs free energy and altering phase boundaries. A re-entrant phase transition between Gamma and B-Ta2O5 is predicted near ~ 2 GPa, revealing unexpected complexity in the phase behavior of this oxide. More generally, we identify a characteristic temperature (T_0), at which zero-point and thermal phonon contributions to the free energy become comparable, and show that T_0 is approximately one-third of the Debye temperature. This relationship provides a simple, physically transparent criterion for assessing the importance of NQEs in phase stability, with implications extending beyond Ta2O5 to a broad class of complex oxides.

cond-mat.mtrl-sci

Distributed Distortion-Aware Robust Optimization for Movable Antenna-aided Cell-Free ISAC Systems

The cell-free integrated sensing and communication (CF-ISAC) architecture is a promising enabler for 6G, offering spectrum efficiency and ubiquitous coverage. However, real deployments suffer from hardware impairments, especially nonlinear distortion from power amplifiers (PAs), which degrades both communication and sensing. To address this, we propose a movable antenna (MA)-aided CF-ISAC system that mitigates distortion and enhances robustness. The PAs nonlinearities are modeled by a third-order memoryless polynomial, where the third-order distortion coefficients (3RDCs) vary across access points (APs) due to hardware differences, aging, and environmental conditions. We design a distributed distortion-aware worst-case robust optimization framework that explicitly incorporates uncertainty in 3RDCs. First, we analyze the worst-case impact of PA distortion on both the Cramer-Rao lower bound (CRLB) and communication rate. Then, to address the resulting non-convexity, we apply successive convex approximation (SCA) for estimating the 3RDCs. With these, we jointly optimize beamforming and MA positions under transmit power and sensing constraints. To efficiently solve this highly non-convex problem, we develop an MA-enabled self-attention convolutional graph neural network (SACGNN) algorithm. Simulations demonstrate that our method substantially enhances the communication-sensing trade-off under distortion and outperforms fixed-position antenna baselines in terms of robustness and capacity, thereby highlighting the advantages of MA-aided CF-ISAC systems.

eess.SP

Structural and Electronic Properties of Ta2O5 with One Formula Unit

Based on particle swarm optimization (PSO) algorithm and density functional theory (DFT) calculations, we identify a stable triclinic crystal structure of Ta2O5 (named as {\gamma}1-Ta2O5) at atmospheric pressure whose unit cell contains one formula unit (Z=1). Comparison with the Z=1 Ta2O5 structures from the Materials Project [APL Mater. 1, 011002 (2013)] reveals that {\gamma}1-Ta2O5 is energetically the most stable among the Z=1 Ta2O5 phases, and is the second most stable among all the Ta2O5 phases. Characterization of {\gamma}1-Ta2O5 is carried out by analyzing the X-ray powder diffraction patterns, the elastic, vibrational, thermal and electronic properties. The electronic structures of {\gamma}1-Ta2O5 are calculated using standard DFT as well as many-body perturbation theory within the GW approximation. The results indicate that {\gamma}1-Ta2O5 is a wide band gap semiconductor with an indirect gap of ~ 3.361 eV.

cond-mat.mtrl-sci

Latency Minimization for Movable Antennas-Enabled Relay-aided D2D Mobile Edge Computing Communication Systems

Device-to-device (D2D)-assisted mobile edge computing (MEC) is one of the critical technologies of future sixth generation (6G) networks. The core of D2D-assisted MEC is to reduce system latency for network edge UEs by supporting cloud computing services, thereby achieving high-speed transmission. Due to the sensitivity of communication signals to obstacles, relaying is adopted to enhance the D2D-assisted MEC system's performance and its coverage area. However, relay nodes and the base station (BS) are typically equipped with large-scale antenna arrays. This increases the cost of relay-assisted D2D MEC systems and limits their deployment. Movable antenna (MA) technology is used to work around this limitation without compromising performance. Specifically, the core of MA technology lies in optimizing the antenna positions to increase system capacity. Therefore, this paper proposes a novel resource allocation scheme for MA-enhanced relay-assisted D2D MEC systems. Specifically, the MA positions and beamforming of user equipments (UEs), relay, and BS as well as the allocation of resources and the computation task offloading rate at the MEC server, all are optimized herein with the objective of minimizing the maximum latency while satisfying computation and communication rate constraints. Since this is a multivariable non-convex problem, a parallel and distributed penalty dual decomposition (PDD) based algorithm is developed and combined with successive convex approximation (SCA) to solve this non-convex problem. The results of extensive numerical analyses show that the proposed algorithm significantly improves the performance of the MA-enhanced relay-assisted D2D communication system compared to a counterpart where relays and the BS are equiped with traditional fixed-position antenna (FPA).

eess.SP