Results 71 to 80 of about 23,480 (227)

Noninvasive Focal Gene Delivery into the Cerebellum of Non‐Human Primates using Focused Ultrasound

Advanced Science, EarlyView.
Focal and non‐invasive viral vector delivery in non‐human primates remains a major challenge in translational neuroscience. Low‐intensity focused ultrasound was used to transiently open the blood–brain barrier and enable targeted gene delivery to the cerebellum.
Noelia Esteban‐García, José A. Pineda‐Pardo, Inés Trigo‐Damas, Marta Gutiérrez, Marta Castillo‐Ortiz, Megan Carrillo, Alejandro Reinares‐Sebastian, Víctor Medina‐Chavarrías, Itay Rachmilevitch, Masahiko Takada, José A. Obeso, Javier Blesa   +11 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Electroactive polymer gels as probabilistic reservoir automata for computation. [PDF]

iScience, 2022
Strong V, Holderbaum W, Hayashi Y.
europepmc   +1 more source

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

Advanced 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, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source

Inversion of the Impedance Response Towards Physical Parameter Extraction Using Interpretable Machine Learning

Advanced Energy Materials, EarlyView.
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil, Isel Grau, Ricardo Grau‐Crespo, Said Hamad, Juan A. Anta   +4 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

The Biofuels Blueprint: Understanding the U.S. Renewable Fuel Standard

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT We provide a comprehensive review of the U.S. Renewable Fuel Standard (RFS), synthesizing nearly two decades of program evolution, market outcomes, and economic analysis. The RFS mandates minimum volumes of renewable fuel blending through a nested structure based on life‐cycle greenhouse gas reductions, enforced via tradeable Renewable ...
Maria Gerveni, Todd Hubbs, Scott H. Irwin, James H. Stock   +3 more
wiley   +1 more source

A Machine Learning Model for Predicting Posthepatectomy Liver Failure After Hepatectomy With Extrahepatic Bile Duct Resection for Perihilar Cholangiocarcinoma: With and Without Indocyanine Green

Annals of Gastroenterological Surgery, EarlyView.
Using machine learning‐based decision tree models, patients with perihilar cholangiocarcinoma undergoing major hepatectomy with extrahepatic bile duct resection were stratified according to the risk of posthepatectomy liver failure. Separate models were developed with and without indocyanine green data, enabling clinically interpretable preoperative ...
Yuki Homma, Hiroki Ohya, Ryusei Matsuyama, Isamu Hosokawa, Tsukasa Takayashiki, Yusuke Ome, Shuichiro Uemura, Ryota Higuchi, Goro Honda, Eiryo Kawakami, Masayuki Ohtsuka, Itaru Endo   +11 more
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Dynamic Data Structures for Timed Automata Acceptance. [PDF]

Algorithmica, 2022
Grez A, Mazowiecki F, Pilipczuk M, Puppis G, Riveros C.   +4 more
europepmc   +1 more source