Results 151 to 160 of about 341,402 (268)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Comparative Analysis of AWJM Performance in FFF-Printed PLA and PLA-CF: Influence of Process Parameters and Cutting Regions. [PDF]

Polymers (Basel)
Mayuet Ares PF, Rodríguez-Parada L, de la Rosa S, Batista M.   +3 more
europepmc   +1 more source

Mechanically Robust and Depolymerizable Polyesters With Near‐Complete Monomer Recovery for Circular Additive Manufacturing

Advanced Materials, EarlyView.
A sustainable δ‐lactone‐based polymer platform enables multimodal additive manufacturing through DLP, DIW, and FFF, combining tunable crystallinity, photocurable networks, mechanical robustness, and functional response. The printed materials can be mechanically reprocessed and chemically depolymerized into recoverable monomers, demonstrating a closed ...
Farzad Gholami, Rampi Ramprasad, H. Jerry Qi   +2 more
wiley   +1 more source

Optimizing high mass flow parameters for high rate laser metal deposition of dense tungsten carbide iron composites. [PDF]

Sci Rep
Elgazzar H, Abdel-Sabour H, Abdel-Ghany K.   +2 more
europepmc   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Drilling Performance of Novel Lightweight Carbon Specialty Graphites with Different Grain Sizes. [PDF]

ACS Omega
Kayihan M, Yildiz M, Kuzu AT, Bakkal M.
europepmc   +1 more source

Navigating Lipid Nanostructure Design Space Through Continuous Microfluidic Automation

Advanced Materials, EarlyView.
LipidXplorer is a novel microfluidic platform which enables rapid navigation of lipid particle design space for high‐resolution phase mapping, lipid nanoparticle optimization, membrane biophysics, and functional nanomaterial discovery. It combines programmable composition control, continuous nanoparticle formation, and automated well‐plate collection ...
Bradley Diggines, Marcus Fletcher, Manuel Bibrowski, Karnyart Samnuan, Rongjun Chen, David J. Peeler, Amjad Abouselo, Morag R. Hunter, Molly M. Stevens, Nicholas J. Brooks, Yuval Elani   +10 more
wiley   +1 more source

Multi-Response Optimization and Predictive Modeling of Drilling Performance in PEEK-CF30 Composites Considering Drill Coating and Cutting Parameters. [PDF]

Polymers (Basel)
Günay M, Boy M, Korkmaz ME.
europepmc   +1 more source

Fluorinated Deep Eutectic Gel Electrolytes with Simultaneously Enhanced Mechanical Strength and Ionic Conductivity for Solid‐State Lithium Metal Batteries

Advanced Materials, EarlyView.
The synergistic integration of rigid polyacrylamide (PAM) and flexible poly(N,N‐dimethylacrylamide) (PDMA) phases offers exceptional toughness to suppress lithium dendrites, simultaneously enhancing mechanical strength and ionic conductivity. ABSTRACT Gel polymer electrolytes for lithium‐metal batteries face an inherent trade‐off between mechanical ...
Hao Long, Yuhao Liang, Ting He, Xueming Chen, Zimo Huang, Hao Chen, Shanqing Zhang   +6 more
wiley   +1 more source