Results 121 to 130 of about 119,353 (308)
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam +5 more
wiley +1 more source
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
To better benefit from shared tasks in biomedical text mining
présentation orale et résuméTo better benefit from shared tasks in biomedical text mining.
Bossy, Robert +5 more
core +1 more source
The article investigates the legal limitations and exceptions relevant to the training and deployment of generative AI models under EU copyright law. It analyzes whether existing copyright exceptions, such as those for temporary reproduction, scientific ...
Funta Rastislav, Krásna Denisa
doaj +1 more source
Text-mining needs of the food microbiology research community
To ensure the usefulness of a bioinformatics service, analysis of user needs is an essential step. Furthermore, if the service anticipates the identified needs, acceptance by the user is easier.
Chaix, Estelle +3 more
core
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
OpenMinTeD: Text mining services for e-infrastructures
OpenMinTeD: Text mining services for e-infrastructures.
Aubin, Sophie
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Annotation of conceptual co-reference and text Mining the Qur'an [PDF]
This research contributes to the area of corpus annotation and text mining by developing novel domain specific language resources. Most practical text mining applications restrict their domain.
Abdul Baquee Muhammad +1 more
core

