Results 191 to 200 of about 15,100,752 (291)

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Condition-Specific LC Retention Time Prediction: Feature-Selected QSRR Versus Pretrained Graph Isomorphism Network Transfer Learning. [PDF]

Int J Mol Sci
Szucs R, Sýkorová E, Boháčová I, Neri I, Morgan LM, Moriarty M, Hanna-Brown M.   +6 more
europepmc   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source

Letter to the Editor: Free Large Language Model-based Chatbots Can Help to Align Statistical Tests with the Study Design and Avoid Pseudo-replication. [PDF]

Thorac Res Pract
Metze K, da Silva CS, Lorand-Metze I, de Mattos AC.   +3 more
europepmc   +1 more source

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

Component-based CT radiomics for preoperative differentiation of well-differentiated and dedifferentiated retroperitoneal liposarcoma. [PDF]

Front Oncol
Liu K, Zhang J, Ren Y, Wang H, Yang S, Xue Z, Sun Y, Liang T, Li X, Wang S.   +9 more
europepmc   +1 more source

Development of an Inchworm‐Like Dual‐Balloon‐Assisted Colonoscopic Robot Based on a Two‐Segment Extensible Continuum Section

Advanced Intelligent Systems, EarlyView.
This work presents an inchworm‐like dual‐balloon‐assisted colonoscopic robot (IDCR) based on a rod‐driven two‐segment continuum section. The IDCR enables the active straightening of the sigmoid colon through an inchworm‐like locomotion strategy, thereby avoiding loop formation.
Dezhi Song, Bohan Leng, Yi Liu, Xiangyang Yu, Chaoyang Shi   +4 more
wiley   +1 more source

Gut microbiota signatures and machine learning-based candidate feature prioritization in advanced colorectal cancer. [PDF]

Arch Microbiol
Luo N, Yan H, Wang N, Fan W, Chen P.
europepmc   +1 more source

Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing

Advanced Intelligent Systems, EarlyView.
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev, Pietro Novelli, Annalisa Coriolano, Riccardo Dettori, Valentina Tozzini, Fabio Beltram, Massimiliano Pontil, Antonio Rossi, Stiven Forti, Camilla Coletti   +9 more
wiley   +1 more source

An IRAT109 NAM population: Genetic characterization and mapping utility for trait dissection in japonica rice (Oryza sativa L.). [PDF]

Plant Genome
Quilloy FA, Vinarao R, Proud C, Nguyen TQC, Daygon D, Fukai S, Mitchell J.   +6 more
europepmc   +1 more source