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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
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phase function » gcase function (Expand Search), sphere function (Expand Search), rate function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm phase » algorithm based (Expand Search), algorithm where (Expand Search), algorithm pca (Expand Search)
phase function » gcase function (Expand Search), sphere function (Expand Search), rate function (Expand Search)
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<i>Ab Initio</i> Valence Bond Molecular Dynamics: A Study of S<sub>N</sub>2 Reaction Mechanisms
Published 2025“…Taking the gas-phase S<sub>N</sub>2 reaction as an example, a compact VB wave function gives reasonable accuracy with only 27 VB structures, compared to the full active space of 5292 VB structures. …”
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Collaborative Research: Elements: Building an open-source DFT+eDMFT database for quantum materials
Published 2025“…However, most existing materials databases rely heavily on density functional theory (DFT), which often fails to capture the physics of quantum materials governed by strong electron correlations. …”
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344
BiLSTM model structure diagram [30].
Published 2025“…The model employs a sophisticated three-phase methodology: (1) decomposition through Variational Mode Decomposition (VMD) to extract multiple intrinsic mode functions (IMFs) from the original time series, effectively capturing its nonlinear and complex patterns; (2) optimization using a Chaotic Particle Swarm Optimization (CPSO) algorithm to fine-tune the Bi-directional Long Short-Term Memory (BiLSTM) network parameters, thereby improving both predictive accuracy and model stability; and (3) integration of predictions from both high-frequency and low-frequency components to generate comprehensive final forecasts. …”
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VMD-CPSO-BiLSTM network structure.
Published 2025“…The model employs a sophisticated three-phase methodology: (1) decomposition through Variational Mode Decomposition (VMD) to extract multiple intrinsic mode functions (IMFs) from the original time series, effectively capturing its nonlinear and complex patterns; (2) optimization using a Chaotic Particle Swarm Optimization (CPSO) algorithm to fine-tune the Bi-directional Long Short-Term Memory (BiLSTM) network parameters, thereby improving both predictive accuracy and model stability; and (3) integration of predictions from both high-frequency and low-frequency components to generate comprehensive final forecasts. …”
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S1 Graphical abstract -
Published 2025“…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …”
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The visual interface of the simulation platform.
Published 2025“…Next, a DRL-based self-efficient lateral motion strategy for AVs is proposed, with state and reward functions tailored to the environmental features of the diverging area. …”
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Illustration of surrounding environment.
Published 2025“…Next, a DRL-based self-efficient lateral motion strategy for AVs is proposed, with state and reward functions tailored to the environmental features of the diverging area. …”
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Illustration of path-based perception.
Published 2025“…Next, a DRL-based self-efficient lateral motion strategy for AVs is proposed, with state and reward functions tailored to the environmental features of the diverging area. …”
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Illustration of framework.
Published 2025“…Next, a DRL-based self-efficient lateral motion strategy for AVs is proposed, with state and reward functions tailored to the environmental features of the diverging area. …”
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Average reward variation of three models.
Published 2025“…Next, a DRL-based self-efficient lateral motion strategy for AVs is proposed, with state and reward functions tailored to the environmental features of the diverging area. …”
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Data-Driven Design of Random Heteropolypeptides as Synthetic Polyclonal Antibodies
Published 2025“…By combining high-throughput synthesis of selenopolypeptide derivatives with algorithm-assisted optimization, we rapidly identified SpAbs targeting human interferon-α (IFN) and tumor necrosis factor-α (TNF-α) within 2 weeks. …”