Results 211 to 220 of about 4,238,003 (295)
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Genetically Optimized Modular Neural Networks for Precision Lung Cancer Diagnosis: Exploratory Study of Novel Approach. [PDF]
Agrawal VL +5 more
europepmc +1 more source
Electrolyte Design for Fast‐Charging Lithium‐Based Batteries
A decade of progress in fast‐charging electrolytes for lithium batteries is reviewed. Electrolyte design strategies spanning solvents, salts, additives, and advanced systems, such as localized high‐concentration electrolytes (LHCEs), are summarized. Advanced diagnostic tools for lithium plating and interphase chemistry are discussed, with perspectives ...
Chen Liu, Zehao Cui, Arumugam Manthiram
wiley +1 more source
Programmable Edge-to-Edge Assembly of RNA Nanostructures. [PDF]
Geary C +4 more
europepmc +1 more source
We mechanically program liquid crystal elastomer coatings as a stimuli‐responsive and digitally addressable platform for refreshable tactile displays; we validate the perceptual performance of our dynamic device matches conventional static tactile media.
Tom Bruining +9 more
wiley +1 more source
Quantum Entanglement-Based Topological Topology Transformation
This paper explores a novel approach to topological topology transformation utilizing quantum entanglement. We propose a method that employs quantum entanglement to precisely manipulate complex topological structures, offering enhanced precision and speed compared to traditional algorithmic methods.
openaire +1 more source
Clonal drift in the aging gut: Mapping the fate of stem cells over time. [PDF]
Lu TC, Li H.
europepmc +1 more source
Tailoring Symmetry Breaking in Engineered van der Waals Superlattices
We pioneer a scheme to tailor superpotentials in graphene based on intrinsic substrate electronic orders rather than twist angle. The resulting superpotential folds graphene's Dirac cones to either Γ$\Gamma$ or K‐points, leading to distinct symmetry behaviors.
Keda Jin +7 more
wiley +1 more source
Quantum Topology Based Topological Image Calculation
Quantum topology provides a novel framework for analyzing and predicting quantum topology, offering a fundamentally different approach compared to traditional topological analysis methods. This paper introduces a novel computational method, leveraging the unique properties of quantum topology, to understand and predict the behavior of quantum ...
openaire +1 more source
Sequential Topology Optimization and Generative Design with Finite Element Validation for Lightweight PA6 Roller Conveyor Components. [PDF]
Alhashmi ZAE +4 more
europepmc +1 more source

