Results 191 to 200 of about 372,053 (263)

Efficient Degradation of Monoacylglycerols by an Engineered <i>Aspergillus oryzae</i> Lipase: Synergistic Effects of sfGFP Fusion and Rational Design. [PDF]

Molecules
Wang Y, Liu F, Tian Y, Sun J, Liu D, Li F, Wang Y, Rao B.   +7 more
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

Automated radiosynthesis of 2-[¹⁸F]BPA for PET-based planning of boron neutron capture therapy (BNCT): rational precursor design, radiofluorination, and characterization of methodology. [PDF]

EJNMMI Radiopharm Chem
Paolillo V, Pham CD, Ta R, Georgiou DK, Manning HC.   +4 more
europepmc   +1 more source

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

Synergistic engineering PETase reveals loop-region mutations for enhanced catalytic activity and thermal stability. [PDF]

Synth Syst Biotechnol
Han Y, Xing S, Ding M, Wang Y, Xiao W, Jiang Y, Yao M.   +6 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

An integrative head-heart-hands model of moral education: evidence from Chinese higher education. [PDF]

Front Psychol
Wang M, Saharuddin N, Yasin M, Chen X.
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Development of an anatomically accurate cavity model for female pelvic organs based on MRI 3D reconstruction: A modeling study. [PDF]

Medicine (Baltimore)
Bai H, Shen L, Liu P, Chen C.
europepmc   +1 more source