22 papers · ranked by Valyu relevance
İrşat Emin Sarıdaş, Onur Salan, Ali Görçin, Ibrahim Hokelek + 1 more
While Large Language Models (LLMs) offer a promising path toward intent-driven network management by translating natural language human intents into machine-readable configurations, they often suffer from hallucinations and structural inconsistencies in multi-step and complex tasks. To address these challenges, this…
Nagi Arai, Shinpei Ogata, Hikofumi Suzuki, Kozo Okano
—In preparation for constructing or modifying information networks, network engineers develop configuration procedures for network devices according to network configuration specifications. However, as engineers typically create these procedures manually, the generated configuration procedures frequently diverge from…
Mohammad M. Abdellatif, Osama Desouki, Mohamed AbdelRaheem
Network automation is an emerging technology which gained a lot of traction over the past few years. NA can be used at multiple levels, such as topology creation, configuration generation, and testing. It can save a great amount of time and effort compared to conventional ways. Here, the automated topology creation…
Witold E. Wolski, Leonardo Schwarz, Christian Trachsel, Martina Zanella + 6 more
Mass spectrometry laboratories must turn lists of submitted samples into acquisition queues. The run order and the placement of quality-control (QC) injections determine whether a design controls batch effects and signal drift, and whether those effects stay correctable afterward. Yet operators usually set them by hand…
Mrinal Kanti Rajak, Ingudam Chitrasen Meitei, Rajen Pudur
This paper presents a hybrid Particle Swarm Optimization-Grey Wolf Optimizer (PSO-GWO) approach for optimal slip coordination and power management of converter-free grid-connected parallel induction generators (2.2 kW and 5.5 kW) in micro-hydro power plants. The methodology addresses multi-objective optimization of…
Hyun Soo Kim, Hyunseok Song, In Woo Oh, Dong‐Gyu Lee + 16 more
Conventional electromagnetic generators are limited to low-power applications owing to their mechanical complexity, bulky design, and reduced efficiency at small scales. Their performance is further hindered by the resistive torque according to Lenz's law, which makes them unsuitable for low-load environments. To…
Ming-Feng Yeh, Ching-Chuan Luo, Cheng-Lin Lu, Nianbo Liu
Smart manufacturing relies on programmable logic controllers (PLCs) that translate sensor inputs into actuator commands. Generating PLC programs in legacy textual languages such as Mitsubishi FX-series Instruction List (IL) remains an expert-only task, and IL’s deprecation in IEC 61131-3 Edition 3.0 leaves it…
Authors not listed
We provide an overview of core molSimplify functionality and recent updates that enhance its capabilities for automated molecular and materials modeling. We describe the mol3D and atom3D classes, which store atomic and bonding information for a wide range of functions, including reading, modifying, and characterizing…
Gabriel Loaiza-Ganem, Kevin Zhang, Wei Cui, Marc T. Law + 1 more
Conformal prediction (CP) and its extension, conformal risk control (CRC), are established frameworks for quantifying uncertainty in supervised machine learning through formal guarantees. However, recent breakthroughs in artificial intelligence (AI) have been driven by unsupervised generative models, such as large…
Authors not listed
Perovskite solar cell performance depends on the joint configuration of materials, interfaces, and layer-specific physical parameters, forming a structured design space that is naturally sequential but rarely modeled as such. This work introduces PervoTransformer, a transformer-based framework that represents complete…
Ahmed Fathy Aly Omar Ibrahim, Katarzyna Jeleniewicz, Artur Piekarczuk, Valentino Paolo Berardi + 2 more
Highlights 1. Up to 31% reduction in structural mass was achieved through the use of closed-section profiles. 2. Hybrid configuration (IPE ribs + SHS rings) provided the most efficient structural performance among the three configurations considered, reaching utilization ratios of 0.87 (ribs) and 0.63 (rings). 3.…
Authors not listed
The ability to generate crystal structures directly from textual descriptions marks a pivotal advancement in materials informatics and underscores the emerging role of large language models (LLMs) in inverse design. In this work, we introduce CrysText, a text-conditioned framework that generates crystal structures in…
Alberto Florez Prada, Darren J. Hart
Validating bioinformatics pipelines and benchmarking sequence processing algorithms requires reliable test datasets. Existing read simulation tools rely on reference genomes and empirical error profiles, lacking fine-grained control over specific targeted DNA constructs and controlled error injection.…
Manuel Rueda, Dietmar Fernandez-Orth, Ivo G. Gut
Variant calling for next-generation sequencing (NGS) data relies on a diverse ecosystem of tools and workflows. Large-scale collaborative studies increasingly adopt federated analysis, where each institution processes sensitive data locally using standardized pipelines. Deploying identical pipelines across multiple…
Kosei Nakamura, Hikofumi Suzuki, Shinpei Ogata, Hiroaki Hashiura + 2 more
—When network engineers design a network, they need to verify the validity of their design in a test environment. Since testing on actual equipment is expensive and burdensome for engineers, we have proposed automatic verification methods using simulators and consistency verification methods for a network configuration…
Authors not listed
Computational modeling of enzymes provides molecular-level insight into catalysis, but the preparation of quantum mechanical (QM) calculations starting from experimental structures is a significant bottleneck for high-throughput studies. Automated tools developed to accelerate this process may fail to generalize across…
Matúš Virostko, Silvia Maláková, Melichar Kopas, Martin Mantič + 6 more
This paper presents a numerical case study on the application of generative design to the shape optimisation of a spur gear body with consideration of manufacturing constraints and material properties. The presented results are obtained using numerical simulation and finite element analysis. A finite element-based…
Manuel Corpas
Large language model (LLM) agents are typically deployed as clones: identical copies of a single configuration with no mechanism for heritable variation or population-level dynamics. Here we introduce Genomebook, a designed evolutionary system that encodes 26 behavioural traits across 60 diploid loci using additive…
Authors not listed
Transition-state (TS) identification for bimolecular liquid-phase reactions is notoriously sensitive to the initial spatial arrangement of reactants, making automated searches difficult, especially in solvation where conformational effects dominate barrier heights. We address this gap with a fully automated, heuristic…
Authors not listed
The Polytope Formalism provides a rigorous and unifying mathematical framework for representing all possible molecular configurations and their interrelationships. Extending its application from stereoisomerism to molecular constitution reveals that both arise from a common structural foundation linking discrete and…
Sungyu Jeong, Minsu Kim, Byungsub Kim
—We propose a technique to assist in converting a reference layout of an analog circuit into the procedural layout generator by efficiently reusing available generators for subcell creation. The proposed convolutional neural network (CNN) model automatically detects sub-cells that can be generated by available…
Houcheng Su, Weicai Long, Juning Feng, Yusen Hou + 1 more
Population-genetic inference routinely requires coordinating many specialized tools, managing brittle file formats, iterating through diagnostics, and converting intermediate results into interpretable figures and written summaries. Although workflow frameworks improve reproducibility, substantial last-mile effort…