Results 201 to 210 of about 91,473 (258)

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Host Fitness: A Missing Dimension of Precision Medicine in Older Acute Myeloid Leukemia. [PDF]

Hematol Oncol
Morabito F, Bruzzese A, Martino EA, Amodio N, Vigna E, Gentile M.   +5 more
europepmc   +1 more source

Anticorrosive Performance of Smart Epoxy Coatings With Poly(urea‐formaldehyde) Microcapsules Filled With 5‐Ethylidene‐2‐norbornene

Advanced Engineering Materials, EarlyView.
PUF/ENB microcapsules were synthesized based on a sequential factorial design and incorporated into an epoxy matrix. Their anticorrosive action, associated with the self‐healing mechanism, demonstrated that the addition of microcapsules to the coating improved anticorrosive performance compared to pure epoxy coatings, particularly when the encapsulate ...
Vandicleya Alves Moreira, Maria Paula de Carvalho Freire, Ygor Matheus Pereira de Paula, Ana Leticia Santos, Alice da Costa Silva, Nicolau Apoena Castro, Maria Carolina Burgos Costa   +6 more
wiley   +1 more source

Classification of 24-h movement behaviour patterns among university students and their relationship with physical fitness: a latent profile analysis. [PDF]

BMC Public Health
Song Y, Liu M, Cao L, Liu Y, Xu C.
europepmc   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source

MGCP-FER: Meta Control Genetic Programming (MCGP-FER) based feature extraction and fusion for facial expression recognition. [PDF]

Sci Rep
Nivodhini MK, Rajivkannan A.
europepmc   +1 more source

Combining multiplexed functional data to improve variant classification. [PDF]

Genome Med
Calhoun JD, Dawood M, Rowlands CF, Fayer S, Radford EJ, McEwen AE, Tejura M, Turnbull C, Spurdle AB, Starita LM, Jagannathan S.   +10 more
europepmc   +1 more source

Body mass index and physical fitness in university students: sex differences and nonlinear patterns in a large cross-sectional study. [PDF]

PeerJ
Wei Q, Wang L, Yang C, Sun W, Shen S.
europepmc   +1 more source

An Adaptive Refined Composite Multiscale Differential Symbolic Entropy Rooted in LSC-SAO and Its Application in Fault Diagnosis. [PDF]

Entropy (Basel)
Mao M, Yang J, Zhou C, Zhou C, Li X.
europepmc   +1 more source