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Applied Sciences, Vol. 16, Pages 8773: Mechanism-Based Insights and Ablation Study of Multi-Constraint Strategies for Physics-Informed Neural Networks in Shock-Dominated Dam-Break Flows
1+ week, 2+ day ago (558+ words) Physics-informed neural networks (PINNs) provide mesh-free approximation and rapid inference for dam-break flood simulations. However, the effectiveness and underlying mechanisms of different enhancement strategies for engineering-representative shock-dominated flows remain insufficiently understood. To address this issue, this study established a controlled…...
Applied Sciences, Vol. 16, Pages 8756: Anti-Forgetting Adaptive Teacher-Driven Knowledge Distillation for Medical Image Classification
1+ week, 2+ day ago (365+ words) Deep neural networks (DNNs) have achieved remarkable success in medical image classification, yet their performance remains sensitive to dataset size. Knowledge distillation (KD) alleviates this issue by transferring knowledge from a high-capacity teacher to a lightweight student. However, conventional KD…...
Applied Sciences, Vol. 16, Pages 8587: Which Training-Data Axes Matter for Conditional Imitation Learning in CARLA? A Leave-One-Out Ablation UnderPure and Guardrailed Deployment
2+ week, 1+ day ago (495+ words) Conditional imitation learning (CIL) for CARLA depends on diverse expert data spanning map, weather, traffic, and control-perturbation axes, yet it remains unclear which axes actually drive closed-loop behavior, and whether ablation conclusions survive deployment guardrails. We train a matched baseline and…...
Applied Sciences, Vol. 16, Pages 8384: FTT-Transformer: A Feature-Time Tokenization Approach with Multi-Head Self-Attention for Oilfield Production Forecasting
2+ week, 6+ day ago (680+ words) Oilfield production forecasting serves as the decision-making basis for monthly production allocation and injection–production system optimization. Existing mainstream prediction methods face significant limitations: the Arps decline curve extrapolates historical production trends, yet its accuracy degrades rapidly following adjustments to…...
Applied Sciences, Vol. 16, Pages 8291: ChemAutoAgent: A Multi-Agent System for Evidence-Controlled Laboratory Instrument Driver Generation from Text-Based Manuals
3+ week, 2+ day ago (394+ words) Instrument control remains a practical bottleneck in laboratory automation and self-driving laboratories. Although large language models (LLMs) have shown strong potential in document understanding, code generation, and scientific workflow automation, most existing systems assume that ready-to-use instrument interfaces are already…...
Applied Sciences, Vol. 16, Pages 8145: A Zero-Tuning DEM-to-Continuum Framework for Thermite Front Propagation: Contact-Resistance Conductivity and Diffusion-Limited Kinetics, Implemented Through an AI-Agent Workflow
4+ week, 19+ hour ago (609+ words) Thermite mixtures are attractive for downhole well plug-and-abandonment (P&A) sealing, where a consistent, controllable burn matters more than peak energy. Because propagation is governed by particle size and packing, predictive blend design needs a model that resolves microstructure. I present…...