Results 151 to 160 of about 80,002 (216)

Nano‐Architected Metallic Metamaterial With Enhanced Fatigue Resistance via Dislocation Starvation

Advanced Materials, EarlyView.
Nanoscale Ni single crystals exhibit remarkable fatigue resistance over an order of magnitude higher than that of bulk single crystals through dislocation starvation. By translating this mechanism into geometric nano‐architecture, nano‐architected Ni single‐crystal metamaterials achieve about twice the fatigue resistance of the bulk, despite their ...
Kota Sugisaka, Yamato Ishizaka, Hiroki Ikeda, Shigeo Arai, Masataka Abe, Yoshitaka Umeno, Hiroyuki Shima, Takashi Sumigawa   +7 more
wiley   +1 more source

Sentiment Analysis of Acceptance TVET Online Courses on the Skill Academy App from Google Play: Leveraging Text Mining with Comparison Machine Learning Model. [PDF]

F1000Res
Darmono D, Fadlullah YA, Ma'ruf K, Maulana MR, Saputra AA, Sulaiman RB, Bagaskara BB, Setiawan RJ, Sahril S.   +8 more
europepmc   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
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

A Stylometric Analog of the Fermi-Pasta-Ulam-Tsingou Problem: Combination of Human Bias and Long-Range Correlation Creates a Sort of Soliton. [PDF]

Entropy (Basel)
Hayata K.
europepmc   +1 more source

Flax Composites With Improved Interfacial Strength Through Microbially Induced Mineral Precipitation

Advanced Materials, EarlyView.
A bio‐inspired biomineralization strategy introduces an additional hierarchy to flax fiber composites. By controlling microbe‐mediated mineral particle deposition through tuned salt concentrations, stress transfer within the natural fiber composite is enhanced.
Deniz Sayinbas, Ingo Nettersheim, Jeong‐Joo Oh, Marie‐Eve Aubin‐Tam, Julie Teuwen, Kunal Masania   +5 more
wiley   +1 more source

A lightweight Chinese-English translation model integrating compressed BERT attention and phrase discard mechanism. [PDF]

Front Neurorobot
Qi X, Bao H.
europepmc   +1 more source

Liquid Crystal Elastomer‐Based Haptic Pixel Arrays at Your Fingertips for Advanced Human–Machine Interfaces

Advanced Materials, EarlyView.
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, Enjun Lin, Yu Zou, Meike Heldoorn, Pengrong Lyu, Samuël A. M. Weima, Astrid M. L. Kappers, Myrthe A. Plaisier, Satoshi Aya, Danqing Liu   +9 more
wiley   +1 more source

Livestock Multi-Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation. [PDF]

Adv Sci (Weinh)
Wen J, Wang Z, Huang J, Li F, Chen N, Ma Y.   +5 more
europepmc   +1 more source

Engineering Pluripotent Stem Cells‐Derived Inner Ear Organoids With Enhanced Maturation and Reproducibility by Micro‐Topographical Cues

Advanced Materials, EarlyView.
Micro‐topographical cues applied through temporally controlled microscale confinement improve the reproducibility, spatial organization, and neurosensory‐associated features of pluripotent stem cell‐derived inner ear organoids. Integration with a vascularized organoid platform further enables controlled investigation of vascular‐epithelial interactions
Harshita Sharma, Jungeun Lim, Woochan Kim, Yeon Ju Kim, Dream Kim, Shinyull Lee, Chaeyeon Park, Stephen Rhee, Shruthy Kuttapan, Jungho Ha, Sang Wook Park, Kyunghoon Kim, Noo Li Jeon, Sunho Park, Yun‐Hoon Choung, Jangho Kim   +15 more
wiley   +1 more source

Artificial intelligence for early prediction of gestational diabetes mellitus and preeclampsia: a systematic review of machine learning models and clinical decision support systems. [PDF]

Front Artif Intell
Barada S, Selvanambi R.
europepmc   +1 more source