Results 261 to 270 of about 3,113,242 (314)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

Advanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll, Ivan Pinto‐Huguet, Enzo Rotunno, Thomas Galvani, Catalina Coll, Payam Habibzadeh Kavkani, Maria Chiara Spadaro, Yann‐Michel Niquet, Martin Børstad Eriksen, Sara Martí‐Sánchez, Georgios Katsaros, Giordano Scappucci, Peter Krogstrup, Giovanni Isella, Andreu Cabot, Gonzalo Merino, Pablo Ordejón, Stephan Roche, Vincenzo Grillo, Jordi Arbiol   +19 more
wiley   +1 more source

Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation. [PDF]

Front Oncol
Wang L, Yang Z, LaBella D, Reitman Z, Ginn J, Zhao J, Adamson J, Lafata K, Calabrese E, Kirkpatrick J, Wang C.   +10 more
europepmc   +1 more source

Unsteady Adaptive Stochastic Finite Elements for Quantification of Uncertainty in Time-Dependent Simulations

, 2009
Jeroen Witteveen, H. Bijl
openalex   +2 more sources

Without Contact Resistance, Proteins in Thin‐Film Solid‐State Junctions Can Be Efficient Electronic Conducting Materials

Advanced Materials, EarlyView.
It is demonstrated that contact resistance is effectively eliminated in two‐probe micropore device metal/protein/metal bioelectronic junctions. These results, using two different protein types in these junctions, show that, as ultrathin (<40 nm) films, proteins are an even more efficient electronic transport medium than previously thought, when the ...
Sudipta Bera, Ayelet Vilan, Sourav Das, Israel Pecht, David Ehre, Mordechai Sheves, David Cahen   +6 more
wiley   +1 more source

Shannon Entropy in Uncertainty Quantification for the Physical Effective Parameter Computations of Some Nanofluids. [PDF]

Nanomaterials (Basel)
Kamiński M, Ossowski RL.
europepmc   +1 more source

An Overview of Sensitivity Analysis and Uncertainty Quantification Methods.

, 2007
Anthony Giunta
openalex   +1 more source

Probiotic‐Based Materials as Living Therapeutics

Advanced Materials, EarlyView.
Recent advances in Engineered Living Materials are highlighted, integrating synthetic biology and advanced materials, with a focus on probiotic‐based therapeutics. Probiotic Living Materials hold great potential for biosensing, infection treatment, osteogenesis, wound healing, vaginal and gastrointestinal disorders, and cancer therapy. breakthroughs in
Laura Sabio, Graham J. Day, Manuel Salmeron‐Sanchez   +2 more
wiley   +1 more source

Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review. [PDF]

Radiother Oncol
Wahid KA, Kaffey ZY, Farris DP, Humbert-Vidan L, Moreno AC, Rasmussen M, Ren J, Naser MA, Netherton TJ, Korreman S, Balakrishnan G, Fuller CD, Fuentes D, Dohopolski MJ.   +13 more
europepmc   +1 more source

Quantifying the uncertainties of chemical evolution studies

, 2010
D. Romano, Amanda I. Karakas, M. Tosi, F. Matteuccí   +3 more
openalex   +1 more source

Catalysts for Electrochemical Oxidation of Ammonia: A Comprehensive Review of Fundamentals and Optimization Strategies

Advanced Materials, EarlyView.
Developing robust catalysts for ammonia electrochemical oxidation (AOR) is essential for advancing NH3 utilization technologies. This review summarizes recent progress in catalyst design and mechanistic understanding of AOR. In addition, it systematically investigates strategies to improve AOR performance for various types of catalysts.
Yike Ye, ChenCheng Dai, Kamal Elouarzaki, Gang Wu, Zhichuan J. Xu   +4 more
wiley   +1 more source