Results 241 to 250 of about 2,904,995 (278)

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Rational triplet therapy after CDK4/6 inhibition: what TAKTIC adds and what it cannot resolve. [PDF]

Transl Cancer Res
da Silva JL, da Silva TSF, de Melo AC.
europepmc   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Generalized self-calibrating probe approach for CW tissue oximetry. [PDF]

J Biomed Opt
Motamed Jahromi L, Yang L, von Lühmann A, Grosenick D.   +3 more
europepmc   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

Advanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou, Cinthya Herrera, Duncan Atkins, Elixabete Ayerbe, Giorgio Baraldi, Stéphanie Belin, Anass Benayad, Didier Blanchard, Federico Capone, Ennio Capria, Isidora Cekic‐Laskovic, Robert Dominko, Kristina Edström, Ajay Gautam, Lukas Helfen, Antonella Iadecola, Quentin Jacquet, Gregor Kapun, Xinyu Li, Aleksandar Matic, Nataliia Mozhzhukhina, Andrew J. Naylor, Poul Norby, Chris O'Keefe, Alexandre Ponrouch, Jean‐Pascal Rueff, Elena Tchernykova, Deyana Tchitchekova, Israel Temprano, Nikita Vostrov, Marnix Wagemaker, Martin Winter, Christian Wölke, Tejs Vegge, Sandrine Lyonnard   +34 more
wiley   +1 more source

Reliability Modeling Method for Constant Stress Accelerated Degradation Based on the Generalized Wiener Process. [PDF]

Entropy (Basel)
Li S, Yan Z, Jia J.
europepmc   +1 more source

Addressing biomedical complexity using the energy systems language. [PDF]

Front Syst Biol
Surra F, Gonella F, Conte L, Romano A.
europepmc   +1 more source

Certified quantum randomness within purity constraints. [PDF]

Sci Adv
Lin X, Wang R, Yin ZQ, Wang S.
europepmc   +1 more source

Artificial intelligence-guided design of high-entropy materials from bulk to nanoscale. [PDF]

Nanoscale Adv
Gupta B, Sundriyal S, Kumar S, Kumar P.
europepmc   +1 more source