Results 201 to 210 of about 5,663,589 (279)

Vascularized Cardiac Tissue Engineering: From Advances in Biofabrication to Translational Applications

open access: yesAdvanced Science, EarlyView.
This review presents a process‐oriented framework for vascularized cardiac tissue engineering, highlighting how the coordinated design of cells, biomaterials, and biofabrication strategies enables the functional development or vascularized myocardium for disease modelling and drug discovery.
Yang Liu   +9 more
wiley   +1 more source

Machine Learning for Designing Perovskites and Perovskite‐Inspired Solar Materials: Emerging Opportunities and Challenges

open access: yesAdvanced Science, EarlyView.
This review offers a comprehensive comparison between perovskites and perovskite‐inspired materials (PIMs), focusing on their crystal structures, electronic properties, and chemical compositions. It evaluates the applicability of machine learning (ML) descriptors and models across both material classes.
Yangfan Zhang   +6 more
wiley   +1 more source

A recent ash dieback infection neither affects emerald ash borer performance nor triggers a substantial systemic phytochemical defense response in European ash. [PDF]

open access: yesJ Pest Sci (2004)
Eisenring M   +9 more
europepmc   +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

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Above- and belowground succession following multiple-tree mortality in <i>Pinus densiflora</i> forests. [PDF]

open access: yesFront Plant Sci
Lee SJ   +7 more
europepmc   +1 more source

Roadmap for High‐Throughput Ceramic Materials Synthesis and Discovery for Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This work examines ceramic synthesis through the lens of high‐throughput synthesis and optimization, identifying opportunities for faster, adaptable routes. It emphasizes flexible liquid precursor–to–solid film methods over slower solid‐state approaches and highlights computer‐aided decision making to optimize both material properties and device ...
Jesse J. Hinricher   +10 more
wiley   +1 more source

Graphene based terahertz MIMO antenna with machine learning regression for 6G communications. [PDF]

open access: yesSci Rep
Haque MA   +7 more
europepmc   +1 more source

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