Results 231 to 240 of about 55,942 (295)

Reference library for suspect screening of environmental toxicants using ion mobility spectrometry-mass spectrometry. [PDF]

Commun Chem
Teri D, Aly NA, Dodds JN, Zhang J, Thiessen PA, Bolton EE, Joseph KM, Williams AJ, Schymanski EL, Rusyn I, Baker ES.   +10 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Prioritising methodological research questions for scoping reviews, mapping reviews and evidence and gap maps for health research: a protocol for PROSPECT Delphi study. [PDF]

BMJ Open
Pollock D, Hasanoff S, McBride G, Kanukula R, Tricco AC, Khalil H, Campbell F, Jia RM, Alexander L, Peters M, Vieira AM, Aromataris E, Nunn J, Saran A, Evans C, Godfrey C, Pieper D, de Moraes ÉB, Biesty L, Colquhoun H, Devane D, Toomey E, Clyne B, Davies E, Munn Z.   +24 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Annual Report 2005-2006 [PDF]

, 2006
Cambridge University Library
core  

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Knowledge management - a possible role for libraries? [PDF]

, 2002
Ball, Rafael
core  

Beyond the clipboard: data collection with GridScore NEXT. [PDF]

BMC Bioinformatics
Raubach S, Schreiber M, Hamilton R, McKenzie G, McCallum S, Kilian B, Humphries A, Nguyen LH, Quang TH, Singh A, Sharma S, Trinder S, Feser M, Shaw PD.   +13 more
europepmc   +1 more source

Data‐Driven Design of Bimodal Networked Dielectric Elastomers for High‐Performance Artificial Muscles

Advanced Intelligent Systems, EarlyView.
A data‐efficient artificial intelligence‐assisted framework, which integrates experimental data with machine learning, is developed for the design of bimodal networked dielectric elastomers (DEs) as advanced artificial muscles. It adopts neural networks to predict DEs’ mechanical properties and support vector machines to classify electromechanical ...
Ofoq Normahmedov, Hanzhi Ma, Junbo Peng, Huifeng Dong, Jiangshan Zhuo, Mengke Shi, Lvting Wang, Shengchao Jiang, Ye Shi   +8 more
wiley   +1 more source

Faxon's catalogue of specialties and standard seeds, 1889 /

, 1889
openaire   +2 more sources