Results 191 to 200 of about 2,470,294 (286)

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

Key determinants of "Serious Circumstances" in awarding punitive damages for intellectual property infringement: Evidence from Chinese Judicial Judgments. [PDF]

PLoS One
You K.
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

The EAES intellectual property protection guide. [PDF]

Surg Endosc
Nakajima K, Manfredi L, Yoshida E, Horeman T, Mintz Y.   +4 more
europepmc   +1 more source

Generative and Experimental Validation of High Refractive Index Polymers via Domain Knowledge Approach with Small Data

Advanced Intelligent Discovery, EarlyView.
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo, Seigo Watanabe, Hana Matsunaga, Kenichi Oyaizu   +3 more
wiley   +1 more source

A framework for developing successful academic-industry partnerships for cardiovascular innovations. [PDF]

Heart Rhythm O2
Steltzer SS, Ranella M, Qemo I, Delbono L, Figueroa CA, Ghanbari H.   +5 more
europepmc   +1 more source

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Artificial intelligence, intellectual property, and human rights: mapping the legal landscape in European health systems. [PDF]

Npj Health Syst
van Kessel R, Schmidt J, van Kolfschooten H, Feudo S, Young K, Valtere L, Minssen T, Mossialos E.   +7 more
europepmc   +1 more source

The integration of third party intellectual property (IP)

, 2019
openaire   +2 more sources