Results 221 to 230 of about 85,077 (292)

Urine Metabolomic Profiling and Machine Learning in Autism Spectrum Disorder Diagnosis: Toward Precision Treatment. [PDF]

open access: yesMetabolites
Shazman S   +8 more
europepmc   +1 more source

Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods

open access: yesAdvanced Electronic Materials, EarlyView.
A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun   +4 more
wiley   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

open access: yesAdvanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin   +7 more
wiley   +1 more source

Toward Understanding the Stability of Single‐Atom Catalysts in Oxygen Evolution Reactions

open access: yesAdvanced Energy Materials, EarlyView.
Enhancing the stability of single‐atom catalysts for the oxygen evolution reaction hinges on understanding support interactions, local geometry, and structural dynamics. Transitioning to OH‐modified surfaces offers a promising route to cap surface metals and prevent leaching, paving the way for the next generation of stable OER SACs.
Maxwell Tsipoaka, Ali A. Rownaghi
wiley   +1 more source

Exploring Hybrid Electrolytes for Zn Metal Batteries

open access: yesAdvanced Energy Materials, EarlyView.
The recent advance in the design of hybrid electrolytes for Zn metal batteries is comprehensively reviewed, covering their fundamental properties and classification. Moreover, the chemical strategies for the optimization of battery performances are systematically discussed.
Hao Fu   +7 more
wiley   +1 more source

Decision tree-based machine learning algorithm for prediction of acute radiation esophagitis. [PDF]

open access: yesBiochem Biophys Rep
Alizade-Harakiyan M   +4 more
europepmc   +1 more source

US employment exposure to domestic and foreign tariff changes under NAFTA

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract Literature examining the effects of changes in trade agreements and import competition on US employment and wages has focused primarily on non‐agricultural industries and changes in US import tariffs. We propose a method for measuring worker exposure to changes in agricultural tariffs using a newly developed county‐level dataset of employment ...
Diane E. Charlton   +3 more
wiley   +1 more source

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