Processability, Structure
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Toward automatic generation of control structures for process flow diagrams with large language models
arXiv:2211.05583v2 Announce Type: replace Abstract: Developing Piping and Instrumentation Diagrams (P&IDs) is a crucial step during process development. We propose a data-driven method for the prediction of control structures. Our methodology is inspired by end-to-end transformer-based human language translation models.
Graph-to-SFILES: Control structure prediction from process topologies using generative artificial intelligence
arXiv:2412.00508v2 Announce Type: replace Abstract: Control structure design is an important but tedious step in P&ID development. Generative artificial intelligence (AI) promises to reduce P&ID development time by supporting engineers. Previous research on generative AI in chemical process design mainly represented processes by sequences.
Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
arXiv:2501.12500v3 Announce Type: replace Abstract: Understanding climate dynamics requires going beyond correlations in observational data to uncover the underlying causal process. Latent drivers such as atmospheric processes play a central role in temporal dynamics, while direct causal influences also exist among geographically proximate observed variables. Traditional Causal Representation Learning (CRL) typically focuses on latent factors but overlooks such observable-to-observable...
Language-Native Materials Processing Design by Lightly Structured Text Database and Reasoning Large Language Model
arXiv:2509.06093v4 Announce Type: replace Abstract: Materials synthesis procedures are predominantly documented as narrative text in papers, protocols, and laboratory records, placing them beyond the reach of conventional data-driven optimization frameworks. This language-native character poses a particular challenge for complex, multistage processes such as the preparation of boron nitride nanosheets (BNNS), where outcomes depend on path-dependent choices in exfoliation, functionalization,...
Quantum computing for accurate large-scale electronic-structure calculations: DFT-embedded, post-processed quantum-selected configuration interaction
arXiv:2606.06015v1 Announce Type: new Abstract: We present a multilevel embedding framework for quantum chemistry calculations on a quantum computer. In our framework, a quantum algorithm treats the strongly correlated active space, while a high-level wave-function method such as coupled cluster theory or multireference perturbation theory recovers the remaining correlation in the surrounding region. A sampling-based quantum algorithm, quantum-selected configuration interaction, bridges the...
An ERP Study on Recursive Locative Processing in Mandarin-Speaking Children with Autism
arXiv:2606.05620v1 Announce Type: new Abstract: Recursion enables the generation of hierarchical linguistic structures but imposes substantial processing demands during real-time comprehension. While difficulties with complex syntax have been reported in autism spectrum disorder (ASD), the temporal dynamics of recursive processing remain poorly understood. This study used event-related potentials (ERPs) to examine how Mandarin-speaking children with ASD process two-level recursive locative...
When Graph Tokens Sink: A Mechanistic Analysis of Graph Language Models
arXiv:2606.03712v1 Announce Type: new Abstract: Graph Language Models (GLMs) have become a promising direction for adapting Large Language Models (LLMs) to graph learning tasks. By transforming graph topology and node information into graph tokens, GLMs allow LLMs to jointly process structured graph inputs and textual instructions. Yet, it remains unclear how LLMs internally interpret these graph tokens and whether graph tokens act as meaningful carriers of graph structure.
Imprints of primordial magnetic fields in gravitational collapse during early structure formation
Announce Type: replace-cross Abstract: Context. Primordial magnetic fields (PMFs) generated in the early Universe might have left observable imprints on present-day large-scale structure. However, the spatial scales on which primordial signatures are able to survive the nonlinear processes that accompany structure formation remain unclear.
Paris and Berlin push 'gradual integration' plan into EU ahead of Balkans summit
Merz and Macron pitch "building blocks" approach to EU enlargement to revitalise accession talks, ahead of this week's Western Balkans summit. France and Germany are calling for a new process of "structured gradual integration" for EU candidate countries ahead of a summit with Western Balkan countries. The initiative aims to give candidate countries earlier benefits from closer integration with the bloc while maintaining the existing merit-based accession framework.
Population genomics reveals divergent lineages in the European peatland plant Drosera rotundifolia
Genomic variation within populations reflects both past and contemporary evolutionary processes. The genetic structure of European peatland plants is shaped by complex postglacial recolonization and recent habitat loss. Here, we investigate population genomic patterns in the vulnerable peatland plant round-leaved sundew (Drosera rotundifolia L.).