Results 191 to 200 of about 4,212,938 (248)

Protective Effects of a Polyphenolic Fraction of Bergamot in Improving the Welfare Index in Honeybees (<i>Apis mellifera</i>) Co-Exposed to Deltamethrin and Flupyradifurone: A Laboratory Cage Study. [PDF]

Animals (Basel)
Bava R, Castagna F, Bulotta RM, Ruga S, Liguori G, Lupia C, Nucera S, Muscoli C, Mollace V, Palma E.   +9 more
europepmc   +1 more source

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

CTX-UXO: Contextual visual dataset for localisation, classification and identification of unexploded ordnance. [PDF]

Sci Data
Craioveanu GM, Calofir V, Stamatescu G.
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

Synergistic Structuring and Stabilization of Arid Agro-Soils via a Binary Metacid-Chitosan Interpolymer Complex. [PDF]

Polymers (Basel)
Kerimkulova M, Sabitov A, Musabekov K, Issenova G, Yessimova O, Nurlan N, Seilkhan K, Kapantaikyzy D.   +7 more
europepmc   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Higher-order metal-organic halogen-bonded cocrystals relying on a single supramolecular synthon. [PDF]

Chem Sci
Posavec L, Tripathi A, Canossa S, Lutz M, Pičuljan K, Nemec V, Arhangelskis M, Cinčić D.   +7 more
europepmc   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

Advanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee, Byung Ik Park, Gihyeon Yim, Hyunjae Yoo, Sangjun Ma, Jundong Park, Jeong‐Yun Sun   +6 more
wiley   +1 more source

Material Balance Probing of Aqueous Iron-Nickel Sulfate Solid-Liquid Equilibria from 279.2 to 283.2 K. [PDF]

J Chem Eng Data
Depiné Dornelles Da Silva E, Oishi K, Harvey JP, Self J.   +3 more
europepmc   +1 more source

Atom Probe Tomography as an Emerging Tool for Understanding Defect‑Driven Mechanisms in HfO2‑Based Ferroelectrics

Advanced Functional Materials, EarlyView.
This Perspective highlights atom probe tomography as a powerful tool for understanding the atomic‐scale defect chemistry in HfO2‐based ferroelectrics. 3D mapping of dopants, point defects, and interface chemistry can provide new insight into defect‐driven mechanisms underpinning the ferroelectricity in the system and guide the design of more reliable ...
Kasper Hunnestad, Catherine Dubourdieu, Alexei Gruverman, Dennis Meier   +3 more
wiley   +1 more source