Results 121 to 130 of about 2,392,420 (254)
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Advanced Science, EarlyView.Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Annual Report - Marine Biological Laboratory, 1984
, 1985 Annual report of the Marine Biological Laboratory in Woods Hole. 1984.
Marine Biological Laboratory (Woods Hole MA)
core
Bioenergetic Materials for Tissue Regeneration: Modulating Metabolism to Promote Cellular Anabolism
Advanced Science, EarlyView.Bioenergetic materials (BEMs) modulate cellular metabolism to promote tissue regeneration. Their principal mechanisms of action include metabolic substrate supplementation, metabolic enzyme modulation, organelle transfer, electrical current regulation, redox homeostasis modulation, and oxygen tension modulation.
Yuchen He +7 more
wiley +1 more source
Annual Report - Marine Biological Laboratory, 1981
, 1982 Annual report of the Marine Biological Laboratory in Woods Hole. 1981.
Marine Biological Laboratory (Woods Hole MA)
core
“Lithium‐Free” Anode Solid‐State Batteries Enabled by 3D Structured Miec Garnet
Advanced Energy Materials, EarlyView.“Lithium‐free” anode solid‐state batteries can maximize energy density by eliminating excess lithium metal but are limited by unstable lithium nucleation and poor lithium reversibility at solid interfaces. A mixed ionic and electronic conducting garnet scaffold promotes uniform lithium deposition within a three‐dimensional porous framework at low ...
George V. Alexander +6 more
wiley +1 more source
Annual Report - Marine Biological Laboratory, 1991
, 1992 Annual report of the Marine Biological Laboratory in Woods Hole. 1991.
Marine Biological Laboratory (Woods Hole MA)
core
Advanced Intelligent Discovery, EarlyView.The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu +11 more
wiley +1 more source
Annual Report - Marine Biological Laboratory, 1985
, 1986 Annual report of the Marine Biological Laboratory in Woods Hole. 1985.
Marine Biological Laboratory (Woods Hole MA)
core
Annual Report - Marine Biological Laboratory, 1933 [PDF]
, 1933 Annual report of the Marine Biological Laboratory in Woods Hole. 1933.
Marine Biological Laboratory (Woods Hole MA)
core
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source