Block Copolymers: Emerging Building Blocks for Additive Manufacturing
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson +3 more
wiley +1 more source
A novel framework using particle swarm optimization and long short-term memory networks for stock market forcasting. [PDF]
Safari MH, Hosseini S.
europepmc +1 more source
Predicting Stock Market Trends Using Deep Long Short-Term Memory Networks
Anurag Shelar, Anurag Shelar
openalex +2 more sources
Deep learning with long short-term memory networks for financial market predictions [PDF]
Thomas Fischer, Christopher Krauß
openalex
Pavement Icing Forecasting Based on Long Short-Term Memory Network
Wenjiang Liu, Zhongyang Rao
openalex +1 more source
Switchable Supramolecular Adhesive by Tuning Interfacial Bonding and Modulus
The supramolecular adhesive (HyDiP) shows reversible adhesion and recyclability. In the dehydrated state, it is dense, stiff (E ≈445 MPa), transparent, and provides strong bonding with adhesion strengths up to 4.65 MPa. In the hydrated state, it becomes porous, soft (E ≈0.11 MPa), and detaches easily, enabling sustainable high‐strength applications ...
Rumin Fu +10 more
wiley +1 more source
Predicting the prevalence and estimating the economic burden of ischemic heart disease in China: Based on long short-term memory model. [PDF]
Teng Y +5 more
europepmc +1 more source
Forecasting Stock Prices Using a Hybrid Deep Learning Model Integrating Attention Mechanism, Multi-Layer Perceptron, and Bidirectional Long-Short Term Memory Neural Network [PDF]
Qian Chen, Wenyu Zhang, Yu Lou
openalex +1 more source
Anion‐excessive gel‐based organic synaptic transistors (AEG‐OSTs) that can maintain electrical neutrality are developed to enhance synaptic plasticity and multistate retention. Key improvement is attributed to the maintenance of electrical neutrality in the electrolyte even after electrochemical doping, which reduces the Coulombic force acting on ...
Yousang Won +3 more
wiley +1 more source
Fusion of transfer learning models for detection of alzheimer's disease using bidirectional long short-term memory with equilibrium optimization algorithm. [PDF]
Renugadevi K, Jayasankar T.
europepmc +1 more source

