Results 201 to 210 of about 336,267 (214)

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

Machine Learning of Temperature-Dependent Chemical Kinetics Using Parallel Droplet Microreactors. [PDF]

Adv Sci (Weinh)
Saita M, Hori Y.
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

Ultrasound-fabricated thyme essential oil nanoemulsions stabilized by clean-label emulsifiers: Physicochemical properties, antibacterial activity, and food decontamination applications. [PDF]

Ultrason Sonochem
He Q, Yuan S, Bian Y, Zhuang Z, Ding C, Zhang C, Tu C, Lu C, Jiang H.   +8 more
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

Lipid droplet-mitochondria contact sites as druggable spatial-pharmacology targets in respiratory disease: cross-cell-type mechanisms and translational strategies. [PDF]

Front Cell Dev Biol
Li S, Bai R.
europepmc   +1 more source

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source

Accessible, robust ultrahigh-throughput microbiome analysis via integration of uniform droplet-templated emulsification and FACS. [PDF]

PLoS One
Nauwynck W, Faust K, Boon N.
europepmc   +1 more source

Thermally Regulated Droplet Microfluidics Enables Uniform, Size-Controllable DNA-Nanoparticle Superlattices. [PDF]

Small
Tottori N, Tagawa M, Takao A, Zhang L, Yokomori M, Sakuma S, Yamanishi Y.   +6 more
europepmc   +1 more source

Microfluidic Production of Dexamethasone-Loaded PLGA Microparticles: Dynamic Solvent Extraction Improves Process Robustness During the Droplet-to-Particle Transition. [PDF]

Pharmaceutics
Amanatchi N, Bihi I, Briet M, De Malsche W, Hellemans KH.   +4 more
europepmc   +1 more source