Results 51 to 60 of about 1,672 (130)

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Explainable Deep Learning for Imaging‐Based Skin Lesion Diagnosis: A Systematic Literature Review

Concurrency and Computation: Practice and Experience, Volume 38, Issue 16, August 2026.
ABSTRACT In the latest years, the use of Deep Learning (DL) in imaging‐based skin lesion diagnosis has become increasingly prevalent. The deep models have revolutionized the computer‐aided diagnosis systems in terms of performance. However, DL models are often criticized as black boxes due to their complex and opaque internal design of numerous ...
Rym Dakhli, Walid Barhoumi
wiley   +1 more source

Risk Factors for Cardiovascular Disease: Epidemiology, Screening, Prevention, and Therapeutic Interventions

MedComm, Volume 7, Issue 8, August 2026.
Cardiovascular disease arises from lifelong accumulation of traditional and emerging risk factors that converge on shared pathophysiological pathways, leading to diverse clinical outcomes, and can be mitigated through integrated screening, prevention, and precision therapies. ABSTRACT Cardiovascular diseases (CVDs) remain the leading cause of morbidity
Mowei Kong, Zaiyong Zheng, Min Huang, Shengyu Huang, Xingwei Zhao, Yang Yu, Chunxiang Zhang   +6 more
wiley   +1 more source

Knowledge‐distilled diffusion models for improving cone‐beam CT image quality with meta‐learning under imbalanced data

Medical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Adaptive radiation therapy (ART) relies on daily cone‐beam CT (CBCT), yet its limited image quality hinders accurate dose calculation, particularly under substantial anatomical changes. Purpose To overcome the clinical challenge of scarce paired planning CT (pCT) data versus abundant unpaired CBCTs, we propose a framework driven by ...
Joonil Hwang, Sangjoon Park, Seungryong Cho, Jin Sung Kim   +3 more
wiley   +1 more source

Semi‐Analytical Solution of Time‐Harmonic Soil–Pile Interaction Using Love Numbers in Transversely Isotropic and Layered Half‐Spaces

International Journal for Numerical and Analytical Methods in Geomechanics, Volume 50, Issue 11, Page 4691-4705, 10 August 2026.
ABSTRACT An efficient semi‐analytical approach based on the Fourier–Bessel series (FBS) system of vector functions and the stiffness matrix method is proposed to study the dynamic response of axially loaded piles embedded in transversely isotropic (TI) layered soil.
Quoc Kinh Tran, Thi‐My‐Linh Huynh, Ernian Pan, Chih‐Ping Lin, Yehya Rasool, Fazle Ghaffar   +5 more
wiley   +1 more source

An LLM Framework for Regional Climate Services: Integrating Climate Knowledge and Ensemble Projections

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Recent advances in generative AI have enabled the integration of scientific knowledge into natural language interfaces. However, existing large language models (LLMs) lack domain‐specific expertise and cannot directly utilize simulation data essential for risk assessment.
D. Matsuoka, S. Kawahara, K. Murakami, R. Matsumoto, R. Ito, S. Sugimoto, D. Sugiyama, M. Hara, M. Hayashida, K. Nguyen, A. Peng, T. Abe, I. Sugiyama   +12 more
wiley   +1 more source

Shannon sampling based approach for the structural solution of nano‐objects by laboratory and synchrotron SAXS data

Journal of Applied Crystallography, Volume 59, Issue 4, Page 1170-1183, August 2026.
We present a model‐independent approach based on the Shannon sampling theorem to retrieve key structural parameters of proteins and core–shell micelles directly from small‐angle X‐ray scattering (SAXS) profiles. By bypassing the pair distribution function, the method overcomes q‐truncation artifacts and provides reliable mass, size and aggregation ...
Liberato De Caro, Domenico Alberga, Francesco Scattarella, Teresa Sibillano, Vincenzo Mangini, Boyang Zhou, Thibaud Stoll, Cinzia Giannini   +7 more
wiley   +1 more source

A small‐angle scattering model for broad correlation peaks and small diffuse scattering

Journal of Applied Crystallography, Volume 59, Issue 4, Page 1319-1326, August 2026.
For porous and/or bicontinous structures with rather broad correlation peaks and small diffuse scattering, a heuristic theory makes the connection to conditions of material production.Porous and/or bicontinuous structures often display a pronounced correlation peak in their small‐angle scattering that indicates a preferred domain spacing d.
Henrich Frielinghaus
wiley   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

A hallucination detection and mitigation framework for faithful text summarization using LLMs. [PDF]

Sci Rep
Liu S, Gao Y, Li S, Wang P, Wang T.
europepmc   +1 more source