Results 241 to 250 of about 8,838,426 (323)

Large‐Scale Determination of Frontier Orbital Energies of Disordered Small‐Molecule Organic Semiconductors Using Exciplex Emission Spectra

Advanced Materials, EarlyView.
ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald, Hiroki Tomita, Giacomo Cotelli, Louka L. Brüll, Nanno G. de Rooij, Lucas R.L. Norg, Milo Clément, Reinder Coehoorn   +7 more
wiley   +1 more source

The heterogeneous treatment effects of statins on dementia: a target trial emulation with causal machine learning using integrated genetic and real-world data. [PDF]

Alzheimers Dement
Lai Y, Her QL, Zhang Y, Xu H, Kucharska-Newton A, Ji D, Wu G, Garden G, Stürmer T, Wang T, Xu Y.   +10 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Mapping neighbourhood-level drivers of type 2 diabetes for precision public health using predictive and causal machine learning. [PDF]

Sci Rep
Noaeen M, Rostami A, Ghanem I, Saarela O, Keshavjee K, Brook JR, Shakeri Z.   +6 more
europepmc   +1 more source

Polyphenol‐Inspired Materials for Agricultural Applications

Advanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu, Omid Mazaheri, Zhixing Lin, Tianzheng Wang, Jingqu Chen, Yuang Gu, Xia Liang, Deli Chen, Frank Caruso   +8 more
wiley   +1 more source

Temporal and Spatial Effect Distribution on Soil Erosion from Nationwide Forest Restoration Policies in China Revealed by Causal Machine Learning. [PDF]

ACS Environ Au
Liu Z, Zhou Q, Gong M, Qu S.
europepmc   +1 more source

Review of Inorganic Separator Engineering for Next‐Generation Lithium–Sulfur Batteries: Compromise or Cornerstone?

Advanced Materials, EarlyView.
Inorganic compound‐modified separators transform lithium–sulfur batteries from passive polysulfide confinement to active reaction‐pathway regulation. A Practical Relevance Index (PRI)‐guided framework bridges interfacial chemistry of inorganic separators with practical constraints, establishing unified design principles for scalable, high‐energy ...
Yuting Qin, Tianyi Wang, Xingyu Wang, Kaifu Xu, Yuzhou Wang, Chengyin Wang, Bing Sun, Guoxiu Wang   +7 more
wiley   +1 more source

Early metoprolol use in ICU patients with congestive heart failure is associated with increased 30-day mortality: a causal machine learning study. [PDF]

Front Pharmacol
Chen Y, Li T.
europepmc   +1 more source

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

Advanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong, Mitchell Kaiser, Xia Cao, Trung Thien Nguyen, Au Nguyen, Phung My Loan Le, Jun Liu   +6 more
wiley   +1 more source

Evaluation of conditional treatment effect of salt stress on tomato sugar content using causal machine learning: A pilot study. [PDF]

PLoS One
Goto I, Abiko S, Sugiura S, Furudate A, Suzuki A, Hayashi A, Suzuki D, Kikuchi K.   +7 more
europepmc   +1 more source